Machine Learning Engineer · building explainable, production-grade ML systems
🚀 About Me I'm an ML Engineer focused on taking models from notebook to deployed, explainable, full-stack products. I care about model interpretability (SHAP), clean APIs (FastAPI), and shipping things people can actually click on.🔭 Currently building end-to-end ML platforms modeling, explainability, API, and UI 🧠 Interests: risk modeling, deep learning, RAG / LLM applications, explainable AI 🌐 Portfolio: shubhammaheshwari.vercel.app 📫 Reach me: shubhammaheshwari0210@gmail.com 🛠️ Tech Stack Show Image Show Image Show Image Show Image Show Image Show Image Show Image Show Image Show Image Show Image Show Image
📌 Featured Projects Project Description Stack Credit Risk Engine Full-stack ML credit-risk platform with model explainability and a React dashboard LightGBM · SHAP · FastAPI · React HAR Deep Learning Multi-modal Human Activity Recognition across 7 architectures, with explainability & robustness analysis PyTorch · SHAP Insurance Risk Advisor AI-powered insurance risk assessment with LLM-generated guidance XGBoost · SHAP · Llama 3.3-70B · Groq RAG Chatbot Retrieval-augmented chatbot over custom documents LangChain · ChromaDB · Groq · Streamlit 📊 GitHub Stats
Open to ML Engineer roles let's build something.