• 🎓 Education: B.Tech in Computer Science & Engineering (Batch of 2026) from Rungta College of Engineering & Technology (CGPA: 8.09/10)
• 🏆 Achievement: 2nd Place at Hack for Impact 2024 (50+ competing teams), recognized by BoAt CEO Aman Gupta
• ⚙️ Core Focus: Engineering high-performance Python backends (FastAPI, Pydantic), microservices, and agentic workflows
• 🤖 Generative AI & LLMs: Architecting Retrieval-Augmented Generation (RAG) systems, vector indexing, and LangChain agents
• ☁️ DevOps & Cloud: CI/CD automation via GitHub Actions, containerized deployments on Render, Railway, Supabase, and AWS

Category	Technologies & Tools
Languages & Frameworks
Generative AI & LLMs
Databases & Caching
Data & Analytics
Testing & DevOps
Cloud & Security

Retrieval-Augmented Generation (RAG) agent resolving domain-specific customer support queries with zero hallucination.

• RAG & LangChain Pipeline: Built with FastAPI, ChromaDB, and Groq's Llama 3.3 to fetch and deliver context-bounded responses.
• Scraping & Indexing: Created an ETL pipeline using Playwright for web scraping and LangChain for text chunking, semantically indexing 300+ vector records into ChromaDB.

Tag-based weakness-scoring recommendation engine ingesting 3,000+ problems to target user skill gaps.

• GraphQL & Caching: Real-time profile ingest via LeetCode GraphQL API, backed by a two-tier caching layer.
• Testing & Auth: Secured via Pydantic validation & Supabase Auth; automated CI/CD pipeline enforcing code quality via pytest and GitHub Actions.

Transforms long-form articles into platform-ready outputs for Twitter, LinkedIn, Instagram, Newsletter & Medium in seconds.

• Groq LLaMA 3.3 70B: Zero-shot learning system for multi-channel copy generation.
• Security & Data: Full-stack FastAPI backend with JWT Auth (bcrypt hashing, 24h expiration) and PostgreSQL on Supabase.

AST parsing and graph-based dependency mapping engine automating legacy code documentation and anti-pattern detection.

• Dependency Graphing: Mapped 10,000+ relationships across 7+ codebases using NetworkX & Graphviz, reducing developer onboarding time by 40%.
• Anti-Pattern Engine: Detects 6+ code smells (dead code, circular dependencies, magic numbers) rendered on an interactive Streamlit dashboard with Plotly heatmaps.

ML-driven entity extraction & similarity scoring platform connecting startups with relevant investors and incubators.

• National Recognition: Won 2nd Place out of 50+ competing teams, awarded by BoAt CEO Aman Gupta.

Data Analytics Intern — _VOIS for Tech Program (Sept 2025 – Oct 2025)

• Engineered data cleaning and preprocessing pipelines (ETL) using Python & Pandas to handle missing values, duplicates, and anomalies across multi-domain datasets.
• Executed exploratory data analysis (EDA) and generated 10+ data visualizations using Matplotlib, Seaborn, and Plotly.
• Applied correlation and regression models to deliver actionable strategic recommendations for business positioning.

• 🏆 Hack for Impact 2024 — 2nd Place (National Level, 50+ teams) — Recognized by Aman Gupta (CEO, BoAt)
• ☁️ Oracle Cloud Infrastructure 2025 AI Foundations Associate (1Z0-1122-25)
• ☁️ AWS Cloud Essentials
• 🐙 GitHub Foundations
• 📬 Postman API Fundamentals
• 🤖 Generative AI Basics

✨ "Building intelligent, practical systems at the intersection of AI, backends, and data." ✨