π Final Year CSE Undergraduate | Class of 2026
π Passionate about Data Engineering, AI/ML, and Cloud Technologies
π‘ Exploring the intersection of Big Data, Real-time Analytics, and Intelligent Systems
- Rag Self-Healing Pipeline With Hallucination Detection β The system intercepts every user query, validates retrieval quality from vector databases, and performs multi-layer response validation before serving answers to users.**
- Sentiment Analysis Pipeline β Real-time text analytics with Airflow, NLP, PostgreSQL
- DSA + SQL Mastery β Strengthening fundamentals through consistent practice
- Cloud + Big Data Tools β Hands-on with Kafka, AWS, GCP for scalable systems
- β Big Data Computing (NPTEL)
- β Introduction to Networking (CCNA)
- β Oracle certified AI Foundations Associate (Oracle)
- Languages: Python, Java, SQL
- Data & ML: PySpark, Pandas, NumPy, Scikit-learn, TensorFlow, NLP
- Data Engineering Tools: Apache Kafka, Apache Airflow, Snowflake
- Databases: PostgreSQL, MySQL, MongoDB
- Tools: Git, Docker, VS Code, Linux
β "Data is not just processed, itβs engineered for impact."