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eryadavmukesh/README.md

Mukesh Yadav

About Me

I am a Data Scientist specializing in Computer Vision, Generative AI, and machine learning solutions for industries like tobacco, oil & gas, healthcare and banking. I leverage tools like InspectAI for automated inspection and frameworks like PyTorch and TensorFlow to build innovative applications. Currently, I focus on Generative AI, developing large language model (LLM)-based systems with guardrails and context-aware protocols. Passionate about transforming data into impactful solutions, I excel at creating proofs-of-concept and production-ready AI systems.

Skills

  • Languages: Python, Java
  • Machine Learning: Regression, Decision Trees, SVM, Probabilistic Models (Naive Bayes, Bayesian Networks)
  • Frameworks & Libraries: TensorFlow, PyTorch, Scikit-learn, OpenCV, InspectAI, LangChain, LangGraph
  • Generative AI: GANs, Diffusion Models, RAG, Transformers, LLM Guardrails
  • Tools & Platforms: Azure, AWS, Docker, Git, Jenkins, Postman, MongoDB, MySQL
  • Other: Linux

Projects

Key projects showcasing my expertise in computer vision, Generative AI, and LLMs:

  • Thought of the Day Generator
    PoC for generating daily inspirational quotes using a fine-tuned LLM.
    Technologies: Python, LangChain, Transformers

  • Contract Analysis System
    PoC for automated contract analysis, extracting key clauses with NLP and LLMs.
    Technologies: Python, LangGraph, RAG

  • LLM Guardrails
    PoC for enforcing safety and compliance in LLM outputs for secure AI interactions.
    Technologies: Python, LangChain, LLM Guardrails

  • Service Catalog Interaction
    PoC for an LLM-based interactive service catalog with natural language queries.
    Technologies: Python, LangGraph, Transformers

  • Model Context Protocol
    PoC for a context-aware protocol to improve LLM coherence in multi-turn conversations.
    Technologies: Python, LangChain, RAG

  • Tobacco Leaf Quality Inspection
    Automated tobacco leaf inspection system using InspectAI and computer vision.
    Technologies: Python, InspectAI, OpenCV, TensorFlow

  • Oil & Gas Pipeline Anomaly Detection
    Real-time computer vision system for detecting pipeline anomalies.
    Technologies: Python, PyTorch, OpenCV, AWS

  • Healthcare Voice Q&A System
    Voice-based Q&A for healthcare using speech-to-text and RAG.
    Technologies: Python, PyTorch, RAG, Sarvam-M

Explore all my projects here.

Contact

Open to collaborations and discussions on AI and data science. Reach out via:

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