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  • FEDEX
  • IIT MADRAS

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singhsnazal/README.md

👩‍💻 About Me

🎓 Master of Computer Applications (MCA) graduate from Central University of Karnataka 💼 AI Engineer (Former) at IIT Madras – FedEx Smart Center, where I built production-grade RAG systems, LLM evaluation pipelines, and agentic AI workflows 🏏 Project Associate – Sports Science & Analytics (Former) at IIT Madras (CESSA), developing computer vision solutions for cricket and tennis performance analytics 🤖 Passionate about Generative AI, LLMOps, Agentic Systems, and Real-Time AI Platforms 🌱 Currently deepening expertise in LLM evaluation, observability, and AI system reliability 🤝 Open to collaborating on AI products, GenAI platforms, and sports technology innovations 📫 Email: [email protected]

😄 Pronouns: She/Her ⚡ Fun Fact: I build AI systems that bridge sports performance intelligence and enterprise AI solutions

🧠 Technical Expertise 🔹 GenAI / LLMOps

  Retrieval-Augmented Generation (Pinecone, ChromaDB)
  
  LLM Fine-Tuning (LoRA / QLoRA)
  
  LangChain, LangGraph, LangSmith
  
  AI Agents & Workflow Automation (n8n, tool-using agents, MCP architecture)
  
  LLM Evaluation (RAGAS, hallucination detection, grounding & relevance checks)

🔹 AI / ML / Computer Vision

PyTorch, TensorFlow, Scikit-learn

OpenCV, YOLO, MediaPipe, Pose Estimation

Kinematic tracking and sports performance analytics

🔹 Engineering & Deployment

FastAPI, Docker, Linux

Model deployment, monitoring, and logging

Observability frameworks for LLM systems

🚀 Highlight Work 📦 Enterprise GenAI Systems — FedEx Smart Center, IIT Madras

Built a production-grade RAG chatbot with retrieval evaluation, tracing, and observability

Fine-tuned LLaMA-70B on domain data using QLoRA

Developed AI agents for forecasting and operational intelligence

Designed tool-using agent workflows with auditability and controlled execution

🏏 Sports AI & Computer Vision — IIT Madras (CESSA)

Developed ball tracking and kinematic analysis pipelines for cricket and tennis

Delivered performance analytics solutions for professional teams and sports startups

Built pose estimation and motion analysis systems for athlete performance insights

Created automated evaluation pipelines for computer vision model validation

🌐 Let’s Connect

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