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N-V-Sumanth-Reddy/README.md

Hi there 👋

I am Sumanth Reddy

M.S. Data Science — Texas A&M University
I build agentic/multi-agent systems, NLP, and RAG/MCP-style pipelines with a strong focus on quick shipping: fast iteration, clean abstractions, and reproducible workflows.
Currently on a grind for hackathons + research papers—turning ideas into demos and papers that hold up.

What I do best

  • Agentic systems: planning, tool-use, orchestration, evaluation
  • LLM/NLP apps: RAG, retrieval, reranking, prompt/tool design, LLM evals
  • ML engineering: training + deployment pipelines, experiments, metrics, MLOps basics
  • Research → product: prototype fast, then harden into maintainable systems

Experience

  • Digital Twin Lab — Knowledge Graphs & Agentic Simulations
  • nKBank (London) — RAG & Deep Learning
  • Sedemac — Computer Vision & Automation
  • Timken — Computer Vision & Machine Learning

Links

LinkedIn Medium Email

Tech stack (frequent)

Python PyTorch scikit-learn FastAPI Streamlit SQL Neo4j MongoDB Docker GitHub Actions AWS Azure Google Cloud C C++

(I use what ships—tools change, fundamentals don’t.)

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  3. Datathon-MCP-challenge Datathon-MCP-challenge Public

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  4. Developer-Vs-Tester---Agentic-AI Developer-Vs-Tester---Agentic-AI Public

    Jupyter Notebook

  5. RAG_Bench_marking_Implementation_of_LLM-s RAG_Bench_marking_Implementation_of_LLM-s Public

    Jupyter Notebook