4th year B.E. (Information Technology) @ UIET PU · AI/ML & Data Engineering Enthusiast
I specialize in building end-to-end ML and Data Systems — from data engineering pipelines to model training and LLM-powered applications. My focus areas include:
- Reproducible ML Pipelines (ETL → Training → Deployment)
- Cloud MLOps (Azure Databricks, GCP Vertex AI)
- Large Language Models (RAG, LangChain, LangGraph)
- Big Data Processing (Spark, Delta Lake, Hive)
| Machine Learning & Deep Learning | Data Engineering & Big Data | Cloud & MLOps |
|---|---|---|
 scikit-learn |
 Databricks  Hadoop |
| LLMs & Retrieval | Full-stack & Tools | Data Analysis & Viz |
|---|---|---|
 LangChain  RAG  LangGraph |
 Pandas  NumPy  Matplotlib Power BI |
- Machine-learning — Heart Disease Prediction, Loan Prediction, Big Mart Sales, Breast Cancer Prediction.
- Image-Segmentation — Semantic & instance segmentation in PyTorch.
- Stock_Prediction_ML_Dashboard — ML models with live market data.
- Big_Data_ETL_Pipeline — Azure Databricks, Delta Lake, Spark Structured Streaming.
- Hive_Spark_Data_Pipeline — Data pipelines with Hive & Spark.
- GenerativeAI — RAG, LangChain, LangGraph implementations.
- coffee_shop_customer_chatbot — LLM chatbot with RAG and multi-turn flows.
AI Intern — Grazitti Interactive (Jun 2025 – Jul 2025)
- Built Streamlit AI interview platform with speech I/O, GPT scoring, and multi-round flows.
- Integrated Gmail API for automated hiring communications.
Full Stack Intern — Tata Motors (Jun 2024 – Jul 2024)
- Developed a task management system for 200+ users with real-time chat and role-based access.
B.E., Information Technology — UIET PU (2022–2026)
- 🥉 Bronze Medal — Men’s Doubles, 37th Chandigarh State Table Tennis Championships (2024)
- 🎓 Shraman Foundation Scholar — Top 24 students (2023–2025)
- McKinsey Forward Program — Leadership & problem solving.
- AWS Solutions Architecture Job Simulation — Hands-on AWS cloud architecture tasks.
- Google Cloud — Build AI Apps with Gemini & Imagen (Vertex AI, RAG, Generative AI).
