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VigneshKumar-29/README.md
Vignesh Kumar S banner Rotating role titles
Open to opportunities Focus: Generative AI Specialization: LLM and RAG Profile view counter

About Me

Machine Learning & Generative AI enthusiast, currently studying Computer Science β€” I like turning models and prompts into things that actually work.

Most of what I build lives in the Gen AI / ML space: RAG pipelines, document Q&A chatbots, and retrieval systems using Python, FAISS, Qdrant, and Ollama. I also spend time on the fundamentals β€” regression models, evaluation metrics β€” because that's what makes the "AI" part actually reliable.

  • πŸš€ Worked in a startup environment and contributed to developing a web application within a short timeframe
  • 🀝 Use GitHub Copilot and Claude regularly to code faster, debug smarter, and ship sooner
  • 🐍 Comfortable with Python end-to-end β€” APIs, testing, and real application code, not just notebooks

Beyond that, I keep my SQL sharp solving problems on HackerRank, and I build data analytics dashboards in Power BI and Excel when a project calls for it β€” sales analysis, workforce data, that kind of thing.


⚑ Tech Stack

Generative AI LLMs RAG Vector Databases Embeddings Ollama Qdrant FAISS n8n
Machine Learning Python Pandas NumPy scikit-learn
Data & BI SQL Power BI Excel
Tools Git GitHub VS Code GitHub Copilot Claude ChatGPT

πŸ“Š GitHub Activity

Vignesh's GitHub stats Vignesh's most used languages
Vignesh's GitHub streak



Contribution snake animation

🌱 Currently Learning & Next Up

  • Going deeper into Generative AI β€” agentic workflows and RAG architecture
  • Sharpening SQL through daily HackerRank practice
  • Building more real-world data analytics projects in Power BI
  • Strengthening React for full-stack work
  • Looking for chances to contribute to open source

πŸ“« Connect With Me

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  1. Employee-salary-analytics Employee-salary-analytics Public

    Power BI star-schema data model analyzing employee salaries across departments, designations, and time β€” includes data quality audit and clean-up recommendations.

    1

  2. local-rag-pdf-chatbot local-rag-pdf-chatbot Public

    Local RAG PDF chatbot using n8n, Ollama, Qdrant, and Llama 3.1 for private document-based question answering.

    HTML 6 2

  3. RAG-Project RAG-Project Public

    A beginner-friendly RAG project that uses document chunking, embeddings, FAISS vector search, and Ollama to answer questions from custom documents.

    Python 1

  4. Retail-Store-Sales-Analystics Retail-Store-Sales-Analystics Public

    Power BI project analyzing multi-year retail sales β€” star-schema data model (Fact Sales + Product/Store/Customer/Calendar dimensions) with recommended DAX measures for revenue, profit margin, disco…

    1

  5. simple-rag-document-qa simple-rag-document-qa Public

    Simple RAG Document QA is a lightweight Retrieval-Augmented Generation (RAG) project that answers user questions using information retrieved from a local document. The project demonstrates the comp…

    Python 2

  6. GEN-AI-LEARNING GEN-AI-LEARNING Public

    Hands-on learning journey through the Gen-AI / RAG pipeline: text normalization, chunking, embeddings, LLMs, and RAG architecture.

    Jupyter Notebook