Machine Learning Engineer · Python / XGBoost / GenAI / Docker / AWS
I build end-to-end ML and GenAI pipelines — from raw data to deployed models.
B.Tech in Information Technology from College of Technology, Pantnagar. Hands-on experience building ML and GenAI pipelines — from data ingestion and feature engineering to model deployment. Skilled in Python, XGBoost/scikit-learn, LLM application development (LangChain, Groq API), and cloud pipelines on AWS, with working knowledge of Docker and MCP servers. GATE CSE & GATE DA qualified.
Right now
Currently
Snapshot
Where to look next
Experience
Product analytics & ML features at Interviewkit.ai and business strategy at CrackNonTech.
Projects
Flight price prediction (XGBoost), LinkedIn post generator (GenAI), and YouTube data pipeline (AWS).
Education
B.Tech IT from College of Technology, Pantnagar (CGPA 7.56).
Achievements
GATE CSE & DA, Pantnagar Pathshala, and leadership record.