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shabeeth2/README.md

Mohamed Shabeeth N: cyber profile with ASCII name, language stack, Talk2Data, SpecExec, Duet, yargs and txtai cards

Talk2Data · SpecExec · Duet
yargs #2609 - merged · txtai #1337 - merged

LinkedIn

About, project details, skills and qualifications

Mohamed Shabeeth N

AI Engineer at Tata Consultancy Services, Chennai, India.

About me

I build AI application components for production enterprise RAG and backend integrations. My RAG work covers retrieval, prompts, grounding checks, guardrails and evaluation using LangChain, Gemini and Vertex AI Vector Search. My contribution is the AI application layer, not cloud infrastructure or operations ownership.

I also build Java and Spring Boot modules with Kafka for production data migration and synchronization, and work on regression validation for migration releases. My ticket-assistance work is a prototype, with classification, similar-case retrieval and human review.

Employment: Tata Consultancy Services, Sep 2024 - Present.

Highlights

  • Winner, AI Fridays Innovator Award, TCS (2025).
  • On the Spot (Team) Award, TCS, 3 Mar 2026, for a rapid prototype built and presented as a team.
  • tcsAI Idea Igniter, TCS, 4 Nov 2025: hackathon idea selected among top entries.
  • Delivered GenAI and AI engineering sessions for TCS associates.

Selected projects

Talk2Data

A local data investigation workbench with tool-calling agents, schema inspection, validated read-only SQL, evidence-backed charts and dashboards. Built with Python, FastAPI, Next.js and MCP. Uses step and tool-call limits and explicit approval before MCP calls. The current README records 30 Python tests. Test counts do not establish SQL accuracy, agent task success or adoption.

https://github.com/shabeeth2/talk2data-agents

SpecExec

A Python runtime that executes eligible read-only tool calls while generation streams, then replays the final script from a fresh namespace and reuses exact cache hits. A local simulated benchmark on independent calls measured 764 ms to 368 ms median latency, a 51.8% reduction. This is not a production performance claim.

https://github.com/shabeeth2/specexec

Skills

Python, Java, SQL, LangChain, LangGraph, Gemini on Vertex AI, OpenAI API and embeddings, Vertex AI Vector Search, ChromaDB, hybrid retrieval, reranking, RAGAS, FastAPI, Spring Boot, Kafka, Docker, Jenkins, GitHub Actions, Redis, Grafana, Linux and Git.

Education

B.Tech, Artificial Intelligence and Data Science, SNS College of Engineering, Coimbatore. Graduated May 2024. CGPA: 8.56/10.

Certifications

  • Claude Certified Architect - Professional, Anthropic. Issued Aug 2026; valid through Aug 2027.
  • Google Cloud Generative AI Leader. Issued Feb 2026.
  • Microsoft Certified: Azure AI Fundamentals (AI-900). Issued May 2024.

Connect

https://linkedin.com/in/shabeeth

Duet

A local-first editor for human-AI collaboration on HTML artifacts. Review sessions track annotations, revisions, feedback, agent messages and approval.

https://github.com/shabeeth2/duet

Open-source contributions

  • yargs/yargs #2609, merged 4 Oct 2026: shell-completion installation example corrected to append instead of overwriting shell configuration.
  • neuml/txtai #1337, merged 5 Oct 2026: workflow input example corrected to match the existing code sample.

Language Stack methodology

Snapshot: 5 Oct 2026. GitHub language-byte shares are normalized inside each public, non-fork repository with detected code, then averaged with equal repository weight (23 repos). Repositories without detected code are excluded. This chart describes code composition, not skill or proficiency. Other includes HTML, JavaScript and Shell. Bars are static until regenerated.

Pinned Loading

  1. duet duet Public

    Python

  2. talk2data talk2data Public

    Forked from ravivarmanb/talk2data

    You can talk to a SQL database containing a Insurance company's data like Customer, Policy, Quote, Sales, Commissions, Claims, Address, Agent

    Python

  3. specexec specexec Public

    Python runtime for speculative read-only tool execution during streamed generation, with exact-cache reuse and final-script replay.

    Python

  4. MMCI MMCI Public

    Python

  5. resume-maxxing resume-maxxing Public

    Python

  6. Membrane Membrane Public

    TypeScript