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sandeeppanem/README.md

Hi, I'm Sandeep Panem 👋

I'm a Senior Staff / Lead Data Scientist with 13+ years of experience building production-grade ML & GenAI systems — from classical predictive models to modern LLM-powered agents deployed at scale.

I focus on designing reliable, explainable, and cost-efficient AI systems that support real-world business workflows, especially in Sales and Customer engagement domains.


🔧 What I Work On

  • 🤖 GenAI Agents & AI Copilots

    • Sales copilots, lead intelligence assistants, and conversational analytics
    • Natural language interfaces over structured and unstructured data
  • 🧠 LLMs & Fine-tuning

    • LoRA / PEFT on small and mid-sized language models
    • Prompt engineering, RAG, and hybrid ML + LLM architectures
  • Inference & AI Systems

    • CPU/GPU inference optimization
    • GGUF / llama.cpp vs Transformers benchmarking
    • Latency–cost trade-offs for production deployments
  • 📊 Explainable & Predictive ML

    • Interpretable models for conversion likelihood, churn risk, and deal quality
    • SHAP-driven explanations embedded into user-facing systems
  • 🚀 MLOps & Productionization

    • CI/CD pipelines for ML & GenAI
    • Model monitoring, retraining, and scalable deployments
    • SageMaker, Hugging Face, enterprise ML stacks

🚀 Featured Projects

  • 🔹 LLM-powered Resume Parser
    LoRA-finetuned small language model with optimized CPU inference and Gradio UI.

  • 🔹 Sales Copilot (GenAI Agent)
    Conversational AI assistant that combines predictive ML, real-time analytics, and retrieval-augmented generation to support sales and customer workflows.

  • 🔹 AI Lead Intelligence System
    Hybrid ML + LLM system for ranking and explaining lead quality with interactive dashboards and real-time insights.

  • 🔹 LLM Inference Benchmarks
    Practical benchmarks comparing GGUF, llama.cpp, and Transformers across CPU and GPU setups.


📚 Research & Background

  • MS by Research from IIIT Hyderabad
  • Published at WWW, ECIR, CIKM workshops
  • Strong foundation in NLP, Information Extraction, Entity Linking, and Text Mining

🧠 Writing & Sharing


Pinned Loading

  1. qwen3-resume-extraction qwen3-resume-extraction Public

    Fine-tune Qwen3-0.6B for resume parsing using LoRA

    Python