Production LLM Systems • Multi-Agent Orchestration • Public-Sector AI

Agentic AI Architect building scalable, auditable AI systems.

20+ years of software engineering, 5+ years in AI/ML, and 3+ years delivering production LLM & agentic AI applications—focused on secure RAG, multi-agent workflows, and enterprise deployment.

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Mohammad Nasim
Agentic AI RAG Enterprise Architecture

About

Distinguished AI architect and research leader with deep experience in cloud-native AI, vector databases, and enterprise-scale deployment.

I design and implement agentic AI architectures—multi-agent systems, autonomous workflows, and production RAG—aligned with governance, safety, privacy, and auditability requirements across transportation and automotive-adjacent environments.

20+ yrs
Software Engineering
5+ yrs
AI/ML Systems
3+ yrs
Prod LLM/Agentic AI
Ph.D.
Computer Science Eng.

Core Skills

Agentic AI + LLM tooling, orchestration, MLOps, and full-stack delivery.

Agentic AI & LLM Systems

LangChain (LCEL) LangGraph LangServe LangSmith RAG Systems Multi-Agent AutoGen CrewAI Prompt Engineering Self-hosted LLMs

Cloud, Data, MLOps

GCP Vertex AI GKE / Cloud Run BigQuery Dataflow Azure ML Databricks Docker CI/CD MLflow

Vector + Graph + Dev

FAISS Pinecone Weaviate ChromaDB Neo4j Python FastAPI React Node.js SQL Server

Experience

Selected roles and impact (condensed for a one-pager).

Senior AI Solution Architect

May 2024 – Present • State of Rhode Island DOT
  • Architected secure RAG knowledge assistant using Vertex AI + embeddings + FAISS; deployed with LangServe on Cloud Run.
  • Developed agentic systems for analytics and computer vision pipelines in constrained environments.
  • Aligned delivery with AI governance: privacy, safety, auditability, and controlled data movement.

AI Systems Architect

Jun 2023 – Apr 2024 • State of Michigan DOT
  • Built knowledge graphs for bridge condition monitoring and agent-enabled analytics workflows.
  • Delivered NLP classifier for public feedback using private deployments and vector search in local containers.
  • Prototyped multi-agent task delegation to improve planning and workflow efficiency.

Lead AI Developer

Apr 2021 – Aug 2022 • Atkins UK / SNC-Lavalin
  • Built predictive maintenance on vehicle telemetry; implemented ETL/ELT and ML lifecycle tracking.
  • Deployed AI assistants for workforce planning and internal analytics reporting.
Show earlier leadership roles
  • Senior Manager / ICT Expert — led 22-person team; delivered AI use-cases with TensorFlow/YOLO.
  • Senior Manager – Projects — led delivery teams; deployed analytics solutions and cloud services.
  • Project Manager / App Dev — led enterprise delivery across multiple countries and domains.

Featured Projects

Representative projects aligned with agentic AI + production delivery.

Secure RAG Knowledge Assistant

RAG • Vertex AI

Enterprise document Q&A + summarization with embeddings + FAISS retrieval and controlled deployment.

Gemini/Vertex AI FAISS BigQuery

Real-Time Incident Detection

Streaming • CV

Video/sensor ingestion with streaming analytics; computer vision + alert generation in secure environments.

Kafka Spark OpenCV

Multi-Agent Planning Prototype

Agents • HITL

Multi-agent collaboration (planner/dispatcher/human) to improve task distribution and planning quality.

AutoGen CrewAI HITL

Research & Recognition

Selected publications, awards, and memberships.

Recent Publications

  • Adaptive Neural Audio Mixing with Human-in-the-Loop Feedback — AES Intl. Conf.
  • AI-Powered Digital Human Clones — IBAC.
  • Empirical Analysis of Functionalities and Confidence Scoring in Leading LLMs — IBAC.
  • Fusion of Aerial Thermal Imaging with Deep Learning — IJITEE (SCOPUS).

Awards & Memberships

  • Harvard D3 Generative AI Earth Hackathon — Top 15% Finalist
  • Innovation Excellence Award — Advanced Automation
  • Technical Leadership Award — Enterprise Mobile GIS
  • IEEE Member • LangChain Community • Google Cloud Community

Education & Certifications

Education

  • Ph.D., Computer Science Engineering
  • M.S., Business Analytics — Northwood University
  • M.Sc., GIS & Remote Sensing
  • M.Tech, Computer Science & Engineering

Certifications

  • Agentic AI Fundamentals — Harvard D3 Institute
  • Certified AI Agent Developer — Vanderbilt University
  • Microsoft Azure AI Fundamentals (AI-900)
  • Google Cloud Professional ML Engineer — In Progress

Contact

Let’s talk about building production-grade agentic AI systems.

Reach me

GitHub: GitHub/portfolio links. Working on it....

Quick message

Welcome to the world of AI.