Jamal Mohamed Shakeel S

About Jamal Mohamed Shakeel S

I live at the intersection of two worlds that don\'t usually share the same person.On one side, I\'m an AI Engineer at TCS building production-grade systems from scratch that real teams rely on every day. A RAG-powered knowledge agent that cut information retrieval time by 70%. A Document Intelligence pipeline that eliminated manual data entry entirely for an enterprise client. An Agentic AI Workflow System using MCP that connects AI models to Splunk, ServiceNow, and Confluence for autonomous, cross-platform task execution.On the other side, I\'ve spent time deep in the product trenches authoring 12+ PRDs, shipping 10+ features end-to-end at an AI AdTech startup, running product demos for enterprise clients, and translating messy customer feedback into engineering specs that teams could actually build from. I\'ve sat in those rooms where a whiteboard fills up with workflows, edge cases, and constraints and walked out with a blueprint.What connects both sides is a simple belief: the best AI products are built by people who understand both the technology and the human problem it\'s solving. I don\'t just want to deploy models I want to own the product decisions that determine whether those models actually matter.One thing that sets me apart: I can go from idea to working prototype in hours. Using tools like Cursor AI, AWS Kiro, Google Antigravity, Lovable, and Replit, I compress what normally takes weeks into a single focused session which means stakeholders see something real before most teams have finished their first planning meeting. That rapid prototyping muscle has helped me ship AI tools up to 60% faster than traditional development cycles.My toolkit spans Python, LangChain, RAG systems, prompt engineering, AWS, GCP, Azure, TensorFlow, PyTorch, GitHub Copilot and equally, PRD writing, roadmap planning, stakeholder management, and go-to-market thinking.I\'m actively exploring Product Manager roles in AI-first companies where technical depth is a feature, not a footnote.If you\'re building something at that intersection or know someone who is I\'d love to connect.

Experience

1. Ai Engineer Cbg Ai

   Tata Consultancy Services

   Jul 2025 — Present · Chennai, IN

   Architected and deployed a production-grade RAG knowledge retrieval agent on AWS (Bedrock, Lambda, Lex, API Gateway), enabling semantic search across hundreds of technical documents and cutting information retrieval time by 70% for engineering and support teams- Engineered an end-to-end Document Intelligence pipeline using Google Vertex AI and Python, automating structured data extraction from enterprise invoices and reducing processing errors to near zero across hundreds of documents monthly- Designed and built an Agentic AI Workflow System using Model Context Protocol (MCP), integrating AI models with Splunk, ServiceNow, and Confluence to enable autonomous, cross-platform task execution and eliminate repetitive engineering overhead- Developed an NLP-driven user story generation module using Chain-of-Thought and few-shot prompting techniques, converting raw requirement documents into structured, traceable user stories and accelerating sprint planning cycles by 40%- Delivered production-ready AI tools up to 60% faster than traditional development cycles by leveraging Cursor AI, AWS Kiro, GitHub Copilot, Google Antigravity, and Lovable across the full build lifecycle- Designed and consumed RESTful APIs to integrate AI capabilities with SAP ERP, enabling seamless, reliable data flow across enterprise platforms with zero manual intervention.

Education

• Presidency School

  10th Grade, High School/Secondary Diplomas and Certificates

• Vellore Institute of Technology

  Bachelor of Technology - BTech, Artificial Intelligence and Machine Learning

  2020 — 2024

• Deeksha Centre For Learning, Main Campus Bangalore

  12th Grade, High School/Secondary Diplomas and Certificates