Naseeb Grewal, M.Sc.
I architect enterprise AI systems, high-throughput microservices, and specialized R&D platforms across Specialty Chemicals, Tier-1 Automotive, E-Commerce, Enterprise IT, and Life Sciences. Over 7+ years delivering software platforms for global organizations including Continental, IFF, Wongdoody (An Infosys Company), Heidelberg Materials, SAP, and Meesho, I specialize in eliminating legacy operational friction and engineering high-ROI systems.
Engineering in-house R&D platforms (€1.2M+ vendor licensing eliminated), deterministic multi-agent compliance pipelines (LangGraph / REACH SDS validation), and client-side Rust/WASM numerical simulation engines deployed on AWS ECS and Azure.
Engineering Leadership & Industry Track Record
Seven Production-Grade Systems, Live & Interactive
From polymer formulation and chemical-safety compliance to in-browser lab mathematics and AI cost governance. Each system ships with a working demo.
Containerized FastAPI microservices with in-browser fallback engines: every demo runs instantly, no credentials required.
Enterprise Materials Intelligence Platform
In-House R&D Platform: Formulation Lifecycle, High-Density Grids & ESH Gates
ChemAgent-Gov: Multi-Agent REACH Auditor
Automated Multi-Agent SDS Parsing, ECHA SVHC Cross-Referencing & Regulatory Verification
Ultra-Fast Lab Rheology & Mechanics Engine
Millisecond-Scale Tensile Curve-Fitting & Mechanical Invariant Calculation
Enterprise AI Gateway & FinOps Controller
Prompt Caching, Departmental Token Quotas & Multi-Cloud Fallback
Multimodal Document Intelligence & Semantic Mesh
High-Throughput PDF Merging, Token-Aware Semantic Chunking & PII Redaction
Clinical NLP Patient Sentiment & Autonomous Triage
HIPAA Safe Harbor PHI Redaction, Clinical Distress Radar & Emergency Triage Dispatch
Autonomous AST Code Review & RAG Agent
Tree-Sitter / AST Static Analysis, CWE-89/95 Security Auditing & 1-Click Git Diff Patching
Solution Blueprints for Real Industrial Bottlenecks
Four production bottlenecks, the systems that solved them, and the savings delivered. Select one to inspect the architecture, then Get in Touch.
In-House Materials Intelligence Platform (FastAPI + Next.js 15 + MongoDB on AWS ECS)
AWS ECS Fargate autoscaling behind an Application Load Balancer, with OIDC authentication and optimistic recipe versioning.
Strategic Architecture & Value Delivery
Bridging physical science and industrial R&D with modern distributed systems, agentic automation, and cloud cost governance.
Agentic AI & Deterministic Governance
LangGraph multi-agent pipelines for SDS parsing, ECHA compliance, and RAG over multi-terabyte industrial data lakes.
Full-Stack & Millisecond-Scale Compute
Engineered responsive Next.js 15 web applications and client-side Rust/WASM microservices for real-time physics curve regression.
Enterprise FinOps & Cloud Architecture
Architected AWS ECS Fargate and Azure cloud platforms with Redis prompt caching, departmental quotas, and automated CI/CD.
Engineering Leadership & Enablement
Combines M.Sc. in Computer Science with B.Tech in Chemical Engineering to bridge physical science with agile engineering culture.
| Engineering Dimension | Integrated AI Systems Architecture |
|---|---|
| Domain-Aware Telemetry & Physics | Native physical modeling (B.Tech Polymer Eng + M.Sc. CS) for high-throughput laboratory pipelines |
| Deterministic Regulatory Verification | Deterministic LangGraph multi-agent pipelines ensuring strict rule-based compliance against REACH SVHC thresholds |
| Production Latency & Microservice SLA | FastAPI + client-side Rust/WASM (1.8 ms ISO 527 solver) with 99.95% AWS ECS SLA |
| FinOps & Total Cost of Ownership (TCO) | Saved €1.2M+ by architecting custom in-house R&D platforms, plus Redis prompt caching for AI workloads |
| Engineering Enablement & Mentorship | Hands-on workshops in clean code, TDD, and Git workflows accelerating team velocity |
Live Demos: Seven Production Systems
Mix a recipe, audit a safety document, fit a lab curve, cache an AI answer, merge PDFs, triage feedback, or review code.
Materials Intelligence & Polymer Formulation Engine
⚡ High-Speed In-Memory ModelHalpin-Tsai / Rule-of-Mixtures SimulationDesign custom composite recipes with real-time property forecasting, twin-screw compounding thermal profiles, and digital batch ticket generation.
Additional Production Systems & Research
Production systems, research, and independent builds delivered across Chemicals, Automotive, Cement, and Life Sciences. The seven flagship systems are featured above.
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.
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.
Pharma Biomedical Data Extractor & Entity Pipeline
Extracted clinical symptoms, adverse drug events, and patient-reported outcomes from unstructured medical literature and trial reports.
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.
Industrial Sensor Predictive Maintenance Pipeline
Predicted equipment degradation and remaining useful life (RUL) from multi-sensor industrial telemetry streams before catastrophic breakdown.
Multi-Modal Enterprise Assistant & Customer Support Bot
Automated high-volume departmental inquiries and customer support responses using enterprise knowledge base integration.
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.
Technical Skills & Architecture Matrix
Proven mastery across the full digital lifecycle, from polymer physics and plant telemetry to multi-agent LLM systems and distributed cloud infrastructure. Every chip maps to a shipped system; acronyms are expanded at first use: LangGraph (multi-agent graphs), FAISS (vector search), RAG (retrieval-augmented generation).