Mohammad Zaid

Mohammad Zaid

GenAI Engineer & Architect
India
English, Arabic, Hindi, Urdu
Full-time Hybrid

About Me

GenAI Architect & AI Engineer with 5.8+ years at Tata Consultancy Services (TCS), specializing in production-grade LLM systems, agentic pipelines, and RAG architectures for enterprise clients across Healthcare and BFSI. …

Experience

System Engineer (GenAI Architect & Team Lead)

Tata Consultancy Services · New Delhi
Apr 2021 - Present · 5 years 6 months

<p>◆ Healthcare - GenAI Architect & Team Lead (Python · RAG · LangGraph · Claude AI · Agentic AI) </p><p>• Architected an AI application that auto-generates business logic from code flow diagrams using LangChain, LLMs, and Python, cutting manual analysis time by ~50% across engineering teams. </p><p>• Designed production RAG pipelines with vector stores (FAISS) and LLMs for context-aware document retrieval, improving knowledge extraction accuracy over large enterprise codebases. </p><p>• Built a legacy Java code reverse-engineering solution using Claude AI + LangChain + RAG + a custom AST-based parser to autogenerate structured technical documentation, reducing documentation overhead by ~60% and accelerating modernization. </p><p>• Developed an end-to-end Figma-to-React pipeline Claude AI for semantic design interpretation, Playwright for DOM traversal and visual validation, and an internal MUI component library achieving 80%+ design-system compliance and eliminating design-to engineering handoff cycles. </p><p>• Designed and built a multi-agent PR review system on LangGraph that automatically analyses pull requests on GitHub, parses diffs, identifies logic errors, flags security anti-patterns, and posts structured inline review comments via the GitHub API. </p><p></p><p>◆ BFSI - Capital Markets Trade Surveillance (KDB+/q · SDL · SDP) </p><p>• Optimised a real-time trade surveillance system monitoring FICC trade for misconduct detection under FCA and MAR regulatory frameworks, improving alert precision across multi-asset classes. </p><p>• Extended trade surveillance monitoring and controls to additionally address DFSA and CBUAE regulatory requirements alongside FCA and MAR, supporting cross-jurisdiction compliance coverage. </p><p>• Maintained SDL/SDP pipelines in KDB+/q for high-throughput, low-latency tick data ingestion; authored high-performance timeseries queries and led root-cause analysis for production data integrity issues. </p><p></p><p>◆ Aviation - Database Management & Optimisation (SQL · Linux) </p><p>• Managed and optimised relational databases for aviation operations; built SQL-based ETL pipelines with indexing and partitioning strategies powering analytics-ready dashboards.</p>

Intern, Systems & Data (Kernel)

Dweepi Infotech · New Delhi, India
Jul 2019 - Dec 2019 · 5 months

<p>Worked on Linux kernel internals including device driver development, interrupt handling, and memory management.</p><p> Assisted in code review and testing of kernel patches, collaborating with senior engineers on system-level debugging and documentation.</p>

Skills

LLM Orchestration Prompt Engineering RAG Agentic AI LangChain LangGraph LangSmith LLM Fine-tuning QLoRA LoRA Claude AI Azure OpenAI AWS Bedrock CrewAI AutoGen FastAPI MLOps LLMOps Kubernetes Terraform Argo CD FAISS Chroma Pinecone Figma-to-React Automation AST-based Code Analysis KDB+/q Team Leadership Python LlamaIndex OpenAI API Anthropic Claude API Hugging Face Transformers GANs Computer Vision Reinforcement Learning Spark Dask OpenAI Embeddings Playwright Docker Docker Compose CI/CD Git Kafka Redis Streams Azure AI Services AWS Sagemaker Google Cloud AI Vercel
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