Backend & AI Systems Engineer (CGPA 8.5) bridging scalable cloud-native architecture with intelligent automation. Specializing in Python, RAG & Text-to-SQL pipelines, Full-Stack Development, and DevOps automation.
200+DSA Problems
350+Active Users
8.5CGPA
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Healthcare Analytics Pipeline
Production-style cloud-native healthcare data platform built as an internship team project. Combines Apache Airflow orchestration on AWS EC2, Glue ETL, S3 storage, Streamlit dashboards, and an AI-powered natural language query assistant using a hybrid RAG + Text-to-SQL architecture.
AI-powered query engine that converts natural language into SQL executed over AWS S3 datasets via DuckDB. Overcomes traditional RAG limitations for aggregations and numerical queries. Hybrid architecture: FAISS vector search + Groq-powered SQL generation + live Flask API.
Attendance tracking, CGPA calculator, and timetable utilities for SR University students. Engineered for lightweight performance, offline-friendly behavior, and clean UX. Currently serving 350+ active users tracked via Google Analytics.
Full-stack certificate verification system. Accepts uploaded PDFs, extracts text and QR data via OCR, detects the issuing platform, and deploys Selenium workers to validate against official sources. Supports Coursera, Udemy, Infosys Springboard, and more.