Naseeb Grewal, M.Sc.Senior AI Solutions Architect

JUMP:

Experience Strategic ROI Live Sandboxes AI Systems Copilot Core Systems Catalog (14)Skills Architecture Credentials

Available for Senior AI & Solutions Architecture Leadership Roles

7+ Years Multi-Industry Leadership

Enterprise AI Architecture • Industrial R&D Digitalization • Multi-Agent Systems

Naseeb Grewal, M.Sc.

Senior AI Solutions Architect | R&D Digitalization & Full-Stack Lead

• Specialty Chemicals & Advanced Materials• Automotive Tier-1 & Plant Manufacturing• Cement & Building Materials Digitalization• Life Sciences & Pharma Laboratory AI

I architect enterprise AI systems, high-throughput microservices, and R&D Operating Systems across Specialty Chemicals, Automotive Plants, Cement, and Life Sciences. Over 7+ years of leading technical teams and digital transformation, I specialize in eliminating legacy friction and building high-ROI software platforms.

Core Focus: In-house R&D Operating Systems (€1.2M+ vendor licensing eliminated), zero-hallucination agentic compliance swarms (LangGraph / REACH SDS), and sub-millisecond Rust/WASM simulation engines on AWS ECS and Azure.

€1.2M+

Vendor Costs Saved

Replaced commercial vendor database & testing licenses with in-house R&D OS

150+

Active Enterprise Users

Scientists, lab technicians & compliance officers across multi-site production

99.95%

Cloud SLA Availability

Containerized AWS ECS Fargate & ALB multi-AZ architecture

60%

Discovery Acceleration

Sub-second prediction APIs & automated regulatory screening

Try Interactive Sandboxes Recruiter AI Copilot Full Systems Catalog (14)

COMPANIES & INSTITUTES EXPERIENCE

Engineering Leadership, Digitalization & Enterprise Track Record

7 Global Organizations

Hover over or tap any organization above to inspect candidate role, technologies, and delivered business impact.

The Strategic Executive Advantage

Strategic Value Matrix & Executive ROI

Senior technical leadership capable of speaking the exact language of plant engineers and laboratory scientists while architecting enterprise cloud and agentic AI systems.

Agentic AI & Deterministic Governance

LangGraph multi-agent swarms for SDS parsing, ECHA compliance, and RAG over multi-terabyte industrial data lakes.

0% Hallucination on SVHC limits

Full-Stack & Sub-Millisecond Compute

Engineered responsive Next.js 15 web applications and client-side Rust/WASM microservices for real-time physics curve regression.

1.8 ms WASM Latency

Enterprise FinOps & Cloud Architecture

Architected AWS ECS Fargate and Azure cloud platforms with Redis semantic caching, departmental quotas, and automated CI/CD.

€1.2M+ Direct Cost Saved

Engineering Leadership & Enablement

Combines M.Sc. in Computer Science with B.Tech in Chemical Engineering to bridge physical science with agile engineering culture.

150+ Enterprise Users

Engineering Dimension	Standard Web Developer	Traditional Laboratory Scientist	Naseeb Grewal (AI Solutions Architect)
Cross-Industry Domain Science (Chemicals, Auto, Cement, Pharma)	No physical domain context (treats chemical/mechanical telemetry as generic text)	Deep domain silo, but reliant on manual desktop spreadsheets and legacy tools	B.Tech in Polymer/Chemical Engineering + M.Sc. in CS; models physical & chemical systems natively
Zero-Hallucination Regulatory & Compliance Guardrails	Prone to LLM hallucinations on strict legal substance & safety thresholds	Manual review taking 3+ hours per supplier SDS or compliance consignment	Architects deterministic multi-agent guardrails (LangGraph) with 0% hallucination on SVHC limits
Production Cloud Microservices & High-Throughput APIs	Strong generic web skills, but lacks physical testing and plant telemetry alignment	No distributed cloud architecture or containerized microservice experience	Next.js 15 + FastAPI + Rust/WASM on AWS ECS Fargate with sub-45ms P99 latency & 99.95% SLA
FinOps Cost Optimization & In-House Architecture	Often defaults to expensive proprietary third-party SaaS subscriptions	Locked into legacy commercial vendor database licenses costing €100k+/year	Eliminated €1.2M+ in recurring vendor fees by engineering in-house R&D Operating Systems
Team Upskilling & Engineering Mentorship	Works in developer isolation without coaching scientific laboratory teams	Lacks formal training in modern software engineering (TDD, clean Git)	Conducts regular hands-on workshops in clean code, TDD, and Git flow, doubling team velocity

Live Full-Stack Interactive Suite

Flagship Engineering & AI Sandbox

Test real-time polymer intelligence, deterministic chemical compliance swarms, ultra-fast rheology solvers, and LLM FinOps proxies.

Materials Intelligence & Polymer Formulation Engine

⚡ High-Speed In-Memory Engine

Multi-variable filtering across tensile modulus (ISO 527), specific gravity, and industrial certifications.

12 / 12 Formulations

Min Tensile Modulus0 MPa

MAT-PC-101

Makroblend High-Impact Polycarbonate

REACH

Modulus

2400 MPa

Strength

66 MPa

UL94

V-0 (UL94)

Automotive LightingEV Battery EnclosuresMedical Diagnostics

MAT-PC-102

Makroblend FR Impact-Modified

REACH

Modulus

2850 MPa

Strength

72 MPa

UL94

5VA (UL94)

High-Voltage EnclosuresRail Interior PanelsSmart Metering

MAT-PA66-204

Durethan Structural Polyamide GF30

REACH

Modulus

9500 MPa

Strength

175 MPa

UL94

HB (UL94)

Under-the-Hood StructuralGear HousingsIndustrial Valves

MAT-PA66-205

Durethan Ultra-Rigid GF50

REACH

Modulus

16200 MPa

Strength

230 MPa

UL94

V-0 (UL94)

Metal Replacement BracketsPump ImpellersHeavy Machinery

MAT-TPU-309

Desmopan Bio-Circular Thermoplastic

REACH

Modulus

650 MPa

Strength

42 MPa

UL94

V-2 (UL94)

WearablesIndustrial SealingsAthletic Footwear

MAT-TPU-310

Desmopan High-Abrasion Hydrolysis

REACH

Modulus

420 MPa

Strength

50 MPa

UL94

HB (UL94)

Subsea UmbilicalsHydraulic HosesConveyor Belts

MAT-PEEK-500

ThermaPeak Ultra-Heat Polymer

REACH

Modulus

3800 MPa

Strength

100 MPa

UL94

V-0 (UL94)

Aerospace InsulatorsMedical ImplantsWafer Carriers

MAT-PEEK-502

ThermaPeak Carbon Reinforced CF30

REACH

Modulus

13000 MPa

Strength

225 MPa

UL94

V-0 (UL94)

Downhole Oil BushingsF1 Air DuctsOrthopedic Screws

MAT-POM-501

Ultraform High-Precision Polyacetal

REACH

Modulus

2900 MPa

Strength

65 MPa

UL94

HB (UL94)

Precision Watch GearsFuel FlangesInhaler Actuators

MAT-PBT-405

Pocan Hydrolysis-Resistant GF20

REACH

Modulus

6800 MPa

Strength

115 MPa

UL94

V-0 (UL94)

EV Inverter HousingsRelay SocketsSolar Terminals

MAT-ABS-701

Novodur High-Gloss Automotive ABS

REACH

Modulus

2300 MPa

Strength

48 MPa

UL94

HB (UL94)

Vehicle Interior TrimConsumer Enclosures3D Printing

MAT-PPS-801

Fortron Super-Chemical Resistant GF40

REACH

Modulus

14500 MPa

Strength

190 MPa

UL94

V-0 (UL94)

Coolant PumpsExhaust SensorsChemical Flowmeters

Executive AI Systems Copilot & Architectural Advisory

Executive AI Systems Copilot

Live interactive architectural sparring partner. Test complex system designs, multi-agent orchestration, cloud FinOps, sub-millisecond physics, or open-ended technical challenges.

Live Inference Ready

Gemini 3.5 Quota: 15 RPM (Requests/Min) • 500 RPD (Requests/Day) • 250K TPM

Fast, high-throughput model with generous 500 RPD quota for seamless sparring

Select Architectural Hub:

Click any scenario chip above or ask an arbitrary system design dilemma to trigger live architectural synthesis with your selected Gemini model.

Interactive Architecture Matchmaker

Strategic System Design Blueprints

Explore architectural blueprints, projected business ROI, and concrete systems engineered to solve enterprise R&D bottlenecks.

Select Industrial Context:

Architectural Solution

In-House Materials Intelligence Microservices (FastAPI + Next.js 15 + MongoDB on AWS ECS)

Executive Business ROI:

Eliminates 100% of 3rd-party vendor SaaS licensing (€1.2M+ cumulative savings) with sub-45ms P99 query latency.

System Topology Blueprint:

AWS ECS Fargate autoscale cluster behind ALB with OIDC authentication and optimistic formulation versioning.

Production Tech Stack:

FastAPI AsyncMongoDB AtlasRedisAWS ECS FargateNext.js 15

Key Architectural Pillar:

Optimistic concurrency control and schema migration pipelines for 150+ chemical researchers across global manufacturing plants.

Matching System: Enterprise Materials Intelligence Platform

Monorepo Subfolder Let's Discuss

Core Production Microservices & Sandboxes

Production Microservice Systems

Engineered systems demonstrating the union of physical domain science, full-stack microservices, multi-agent workflows, and containerized cloud DevOps.

Full-Stack & Cloud€1.2M+ Saved

Enterprise Materials Intelligence Platform

In-House R&D Operating System: Formulation Lifecycle, High-Density Grids & ESH Gates

Executive ROI: Replaced high-cost third-party vendor platforms with an in-house R&D Operating System, saving €1.2M+ in recurring licenses for 150+ researchers across global plants.

Key Architecture Highlights

Full Recipe & Formulation Lifecycle: multi-ingredient stoichiometry, batch versioning & parent-child trees

Excel-Grade Master Filtering: high-density property grids with multi-column filters & real-time statistics

Automated ESH & SVHC Compliance Gates: real-time hazard screening and role-based sign-off workflows

Query Latency

< 45ms

Lab Efficiency

+60%

Test Coverage

94%

FastAPINext.js 15MongoDBRedisAWS ECS FargateDockerGitHub Actions

Monorepo Source Live Sandbox

Multi-Agent AI

ChemAgent-Gov: Multi-Agent REACH Auditor

Autonomous Agentic SDS Parsing, ECHA SVHC Cross-Referencing & OESL Auditing

Executive ROI: Accelerated chemical safety compliance verification from hours to seconds per supplier SDS with zero hallucination rate on regulated limits.

Key Architecture Highlights

Supervisor-Worker multi-agent LangGraph workflow with deterministic verification

Deterministic rule evaluation over live ECHA REACH SVHC chemical registries

Automated human-in-the-loop alerts for carcinogenic (H350/H360) hazard statements

Audit Latency

11.4 ms

Regulatory Accuracy

100%

SVHC Database

ECHA List

Python 3.12LangGraphAzure OpenAIFastAPIChromaDBDocker

Monorepo Source Live Sandbox

High-Perf Engineering

Ultra-Fast Lab Rheology & Mechanics Engine

Sub-Millisecond Tensile Curve-Fitting & Mechanical Invariant Calculation

Executive ROI: Achieved significant computation speedups over legacy laboratory desktop tooling with instant client-side WebAssembly execution.

Key Architecture Highlights

Zero-latency client-side polynomial regression via compiled WebAssembly

ISO 527-1 Young's Modulus and 0.2% offset yield stress mathematical solvers

Memory footprint under 4.2 MB per 100,000 sensor telemetry points

Regression Time

1.8 ms

Execution Speed

WASM Native

Memory Footprint

< 4.2 MB

RustWebAssembly (WASM)AxumFastAPINext.js 15Plotly

Monorepo Source Live Sandbox

AI Governance

Enterprise AI Gateway & FinOps Controller

Semantic Caching, Departmental Token Quotas & Multi-Cloud Fallback

Executive ROI: Reduced enterprise LLM operational costs by 42% through semantic caching while enforcing strict data privacy and EU AI Act guardrails.

Key Architecture Highlights

Sub-5ms semantic prompt cache hits using Redis SHA256 and exact prompt indexing

Departmental budget controls preventing unintended token consumption across R&D

Transparent multi-cloud failover across Azure OpenAI and AWS Bedrock with 99.99% uptime

Cache Hit Latency

3.2 ms

Cost Reduction

42%

Model Uptime

99.99%

FastAPIRedisLiteLLMOpenTelemetryDockerPrometheus

Monorepo Source Live Sandbox

Enterprise Systems & Delivery Portfolio

Complete Systems & Engineering Catalog

A comprehensive catalog of production systems, research breakthroughs, and enterprise tools architected across Chemicals, Automotive Plants, Cement, and Life Sciences, categorized with architectural discipline tags.

Category Architecture Filter:

Domain:

Enterprise R&D OS • Full-Stack AWSChemicals & Materials

Enterprise Material Database & R&D OS

Eliminated fragmented legacy spreadsheets and €1.2M+ in third-party vendor fees by centralizing all recipe lifecycles, ingredients, and compliance gates into one high-performance system.

Key System Architecture

Full Recipe Lifecycle: Stoichiometric balance, formula trees, and parent/child batch versioning

Excel-Grade Master Grids: High-density multi-attribute filtering, pivot statistics, and inline edits

Automated ESH & SVHC Compliance: Real-time hazard classification with strict RBAC approval chains

AWS Multi-AZ Infrastructure: ECS Fargate, ALB, Route 53, S3, and MongoDB Atlas with 99.95% SLA

Impact: €1.2M+ direct vendor costs saved; adopted by 150+ researchers & plant technicians across global facilities.

Next.js 15FastAPIMongoDBRedisAWS ECSALBDockerGitHub Actions

projects/01-materials-intelligence-platform

Live Sandbox

Multi-Agent Swarm • LangGraphChemicals & Materials

ChemAgent-Gov: Multi-Agent REACH & SDS Auditor

Automated the tedious, error-prone manual review of chemical Safety Data Sheets against strict ECHA SVHC lists with zero hallucination guarantee.

Key System Architecture

Supervisor-Worker multi-agent orchestration using LangGraph with deterministic state checkpoints

Live ECHA SVHC candidate list cross-referencing and GHS hazard statement (H350/H360) parsing

Deterministic verification gate that blocks unauthorized formulation recipes prior to plant production

Impact: Reduced SDS auditing cycle time from 3 hours to 11.4ms with 100% regulatory boundary accuracy.

Python 3.12LangGraphAzure OpenAIFastAPIChromaDBDocker

projects/02-chemagent-sds-compliance

Live Sandbox

High-Performance Computing • Rust & WASMAutomotive & Industrial

Ultra-Fast Lab Rheology & Mechanics Engine

Replaced sluggish legacy lab desktop tools with an in-browser WebAssembly engine for high-throughput ISO 527 tensile curve regression.

Key System Architecture

High-throughput polynomial regression solver compiled from Rust to client-side WebAssembly

Calculates Young's Modulus, 0.2% offset yield stress, and strain-hardening exponents in sub-2ms

Lightweight memory footprint under 4.2 MB per 100k data points with interactive Plotly visualization

Impact: Sub-millisecond mathematical execution directly in the browser; eliminates local desktop installation overhead.

RustWebAssembly (WASM)AxumFastAPINext.js 15Plotly

projects/03-rust-wasm-rheology-engine

Live Sandbox

Cloud AI FinOps • Redis CachingFinTech & Compliance

Enterprise AI FinOps & Governance Gateway

Solved unpredictable LLM operational costs and data leakage by routing all corporate AI requests through a centralized semantic cache and quota governor.

Key System Architecture

Redis SHA256 semantic caching engine with sub-5ms cache hit returns

Departmental token quotas with automated throttling, failover, and PII masking

Multi-provider failover routing between Azure OpenAI, AWS Bedrock, and Anthropic Claude

Impact: Reduced enterprise AI API operational expenditure by 42% while enforcing EU AI Act governance.

FastAPIRedisLiteLLMDockerPrometheusOpenTelemetry

projects/04-enterprise-ai-gateway-finops

Live Sandbox

Industrial IoT AI • Azure AI SearchAutomotive & Industrial

Industrial Plant Root Cause Failure Analysis (RCFA) GenAI

Reduced downtime in manufacturing plants by using Generative AI to connect historical failure event nodes and telemetry to identify root causes faster.

Key System Architecture

RAG pipeline over plant maintenance logs, equipment telemetry, and RCFA fault tree nodes

Azure AI Search hybrid semantic search indexed with plant equipment taxonomy

Azure Function App backend triggering automated diagnostic summaries for plant technicians

Impact: Accelerated critical plant failure root-cause identification time by 70%, minimizing production line stoppage.

Azure OpenAIAzure AI SearchAzure FunctionsPythonFastAPILangChain

Enterprise Solution

Multi-Modal RAG • AST Code AnalysisLife Sciences & Pharma

Multi-Modal RAG Data Assistant & Code Quality Reviewer

Master's thesis research project combining multi-modal document understanding with automated intelligent code quality verification and security guardrails.

Key System Architecture

Multi-modal document ingestion supporting technical PDFs, tabular scientific data, and codebases

AST-level code quality scanning integrated with LLM verification to detect anti-patterns and vulnerabilities

Context-aware RAG engine delivering source-cited explanations with verifiable evidence

Impact: Academic research validated in production environments; rated with highest academic honors for novel multi-modal evaluation.

PythonLangChainVector EmbeddingsFastAPIPytestDocker

MastersThesisProject/Generative-AI-for-RAG-and-code-reviews

Laboratory Automation • Cloud Data TrackingChemicals & Materials

Enterprise Lab Test Order Management Platform

Bridged the communication gap between research departments and physical testing laboratories, enabling structured test requests, result tracking, and file evaluation.

Key System Architecture

Interactive request portal for material scientists to commission mechanical and thermal tests

Lab technician evaluation console for uploading raw test curves, notes, and approval status

AWS ECS/ECR deployment with S3 secure artifact storage and MongoDB tracking database

Impact: Eliminated email-based test tracking; increased test order turnaround transparency across 500+ monthly orders.

DashFlaskAWS ECSECRS3RDS PostgreSQLMongoDB

Enterprise Solution

Structured LLM • Pydantic Schema PipelineFinTech & Compliance

FinTech Multi-Format Document Information Extractor

Automated extraction of financial statements, transaction metadata, and tax categories from unstructured multilingual PDF documents.

Key System Architecture

Deterministic Pydantic schema enforcement with structured JSON LLM output extraction

Multilingual PDF parsing handling complex tabular statements, currency conversions, and headers

FastAPI microservice with asynchronous batch document processing and validation pipelines

Impact: Achieved >98% field extraction precision across English and German banking documents.

FastAPIPythonPydantic v2LLM JSON SchemaPDFMinerDocker

Bank_document_category_information_extractor_N26_GenAI_THA

Biomedical NLP • Named Entity LinkingLife Sciences & Pharma

Pharma Biomedical Data Extractor & Entity Pipeline

Extracted clinical symptoms, adverse drug events, and patient-reported outcomes from unstructured medical literature and trial reports.

Key System Architecture

Biomedical Named Entity Recognition (NER) pipeline linked with medical ontologies

Automated extraction of drug-symptom co-occurrence matrices and dosage correlations

Robust error handling and schema validation for ingestion into downstream research graphs

Impact: Accelerated biomedical literature screening by 80% for pharmacological research teams.

PythonNLP / NERPydanticFastAPIPandas

Medical_Data_Extractor_Semalytix_THASub

FAISS Vector Index • Audit RetrievalFinTech & Compliance

AML Regulatory Compliance RAG Knowledge System

Constructed an audit-proof retrieval system for compliance teams to query complex Anti-Money Laundering (AML) directives and regulatory changes.

Key System Architecture

FAISS dense vector index over legal and compliance framework documentation

Exact regulatory reference citation with chunk-level attribution to prevent hallucinated advice

Deterministic fallback for undefined compliance boundary questions

Impact: Zero-latency compliance retrieval ensuring complete audit-trail verification.

PythonFAISSLangChainSQLiteFastAPI

Simple_RAG_System_Hawk

Time-Series ML • Sensor Anomaly DetectionAutomotive & Industrial

Industrial Sensor Predictive Maintenance Pipeline

Predicted equipment degradation and remaining useful life (RUL) from multi-sensor industrial telemetry streams before catastrophic breakdown.

Key System Architecture

Time-series feature engineering (vibration harmonics, temperature spikes, pressure decay)

Random Forest & Ensemble anomaly classification with early failure window warnings

Exportable ML pipelines for edge inference in plant operational environments

Impact: Demonstrated early anomaly detection 48 hours prior to simulated mechanical bearing failure.

PythonScikit-LearnPandasNumPyJupyter

Predictive Maintainence

Enterprise RAG • MS Copilot StudioAutomotive & Industrial

Multi-Modal Enterprise Assistant & Customer Support Bot

Automated high-volume departmental inquiries and customer support responses using enterprise knowledge base integration.

Key System Architecture

Microsoft Copilot Studio integration orchestrated with Azure Function App microservices

Azure Blob Storage & Azure AI Search index for synchronized enterprise documentation

Secure role-scoped retrieval preventing unauthorized internal data exposure

Impact: Handled 10,000+ monthly internal inquiries, slashing first-response turnaround by 85%.

MS Copilot StudioAzure FunctionsAzure AI SearchAzure BlobPython

Enterprise Solution

Ontology Modeling • MarkLogic & AWSChemicals & Materials

R&D Data Registry (RDDR) & ODIS Ontology Search

Enterprise patent and scientific data registry enabling researchers across global business units to search, index, and correlate proprietary patent publications.

Key System Architecture

Ontology-driven document store indexing millions of technical records and patent classifications

ReactJS frontends connected to Node.js / Python middle-tier microservices

GitLab CI pipelines deploying containerized services into AWS cloud infrastructure

Impact: Maintained mission-critical patent search engine supporting global IP strategy and enterprise IP newsletters.

MarkLogicReactJSNodeJSDockerPythonAWSGitLab CI

Enterprise Solution

Relational Modeling • Supabase & FlaskLife Sciences & Pharma

Patient Feedback Healthcare Analytics Platform

Enabled hospitals to collect, analyze, and visualize patient feedback across medical staff, facilities, and stay experiences to drive clinical quality improvements.

Key System Architecture

Full-stack Flask application integrated with Supabase PostgreSQL cloud backend

Role-based dashboards for hospital administration, nursing leads, and clinical heads

Automated sentiment classification and department scoring metrics

Impact: Completed with top academic marks in Advanced Database Systems; provided full CRUD lifecycle and audit history.

FlaskSupabasePostgreSQLPythonHTML5/CSS3

Full_stack_Patient_feedback_system_Using_Flask_Framework

Core Competencies & Architecture Matrix

Technical Architecture & Skills Matrix

Proven mastery across the entire digital lifecycle: from polymer physics and plant telemetry to multi-agent LLM systems and distributed cloud infrastructure.

Enterprise AI & Multi-Agent Systems

Autonomous Agent swarms, RAG architectures, model evaluation & FinOps guardrails

Multi-Agent Orchestration (LangGraph, CrewAI)

Generative AI & LLM APIs (GPT-4o, Claude 3.5, Gemini 2.0)

RAG & Vector Search (MongoDB Vector, FAISS, Qdrant)

Azure AI Search & Foundry, AWS Bedrock

Semantic Caching & FinOps Token Quotas (LiteLLM)

Root Cause Failure Analysis (RCFA) AI Systems

Knowledge Graphs & Ontology Modeling (Neo4j, MarkLogic)

Full-Stack & High-Performance Engineering

Reactive web platforms, sub-millisecond compute engines & microservices

Python (FastAPI, AsyncIO, Pydantic v2)

TypeScript & Next.js 15 (React 19/18)

Rust & WebAssembly (WASM / Axum)

High-Density Data Grids & Excel-Grade Filtering

Tailwind CSS & Modern Accessible UI/UX

Test-Driven Development (Pytest, Vitest, 100% Pass Rate)

Cloud Architecture, DevOps & Infrastructure

Resilient containerized deployments, zero-downtime pipelines & infrastructure as code

AWS (ECS Fargate, ECR, S3, RDS, Lambda, ALB, Route 53)

Microsoft Azure (Container Apps, Azure Functions, Blob)

Docker & Multi-Stage Production Builds

Automated CI/CD (GitHub Actions, GitLab CI)

Monitoring & Observability (OpenTelemetry, Prometheus)

FinOps Cost Optimization & Resource Rightsizing

Data Engineering & Enterprise Databases

Multi-terabyte telemetry, distributed caching, schema design & time-series data

MongoDB Atlas & Complex Aggregation Pipelines

Redis In-Memory Semantic Caching

PostgreSQL & Relational Data Modeling

AWS Glue, Athena & S3 Data Lakes

MarkLogic & Ontology-Driven Search Engines

Time-Series Telemetry & Sensor Ingestion

Industrial Domain Science & Digitalization

Bridging physical science R&D, chemical thermodynamics & automated regulatory compliance

Polymer Physics & Recipe Formulation Lifecycle

Rheology & ISO 527 Tensile Mechanical Modeling

Automated REACH SVHC & SDS Safety Gates

Automotive Plant Root Cause Failure Analysis (RCFA)

Cement & Concrete Compressive Strength Prediction

Cross-Functional IT/Lab Stakeholder Alignment

Interactive System Topologies

Production Cloud & AI Architectures

Real-world system designs powering high-throughput scientific data, autonomous compliance, and LLM governance.

// AWS ECS Fargate & Application Load Balancer Architecture (€1.2M+ Savings)

Ingress & Security Tier

Route 53 DNS → AWS ALB with TLS 1.3 termination → OIDC SSO authentication middleware & WAF IP rate limiting.

Compute & Microservices Tier

FastAPI Async Core on AWS ECS Fargate (autoscale 2-10 tasks) with Redis cluster caching (P99 < 45ms) and Rust/WASM calculation worker.

Storage & Persistence Tier

MongoDB Atlas / DocumentDB for schema-flexible polymer formulations + S3 for raw SDS/TDS binary docs + Automated daily backups.

Verified Professional Qualifications

Academic Foundations, Certifications & Leadership Culture

100% Verified Credentials

Academic Foundations

M.Sc. in Applied Computer Science

Generative AI & Cloud Distributed Systems

Specialization: Multi-Modal LLMs & Code Quality Verification

B.Tech. in Polymer Science & Chemical Tech

Polymer Chemistry, Rheology & Chemical Plants

Core Foundations: Thermodynamics & Physical Science

Cloud & AI Certifications

AWS Certified Solutions Architect / DevOps Specialist

Microsoft Certified: Azure AI Engineer Associate

Generative AI & LLM Systems Specialization

Natural Language Processing Specialization

Engineering Leadership & Culture

Team Upskilling & Engineering Workshops

Mentored lab scientists and junior developers in Test-Driven Development (TDD), Git flow, clean code, and API contracts.

R&D Technical Product Ownership

Bridged complex physical/chemical lab requirements with Agile sprint planning, technical roadmaps, and stakeholder alignment.

Enterprise Architecture & FinOps

Designed multi-AZ cloud deployments (AWS ECS/ALB, Azure Container Apps) with semantic caching to slash AI operational costs.