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.
- 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
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.
Open to collaborations and discussions on AI and data science. Reach out via:
- LinkedIn: Mukesh Yadav
- YouTube: MukeshTecHub
- Portfolio: View my projects