A Recent graduate CSE student · AI & ML · Data Analysis · Hackathon Winner 🏆
- A Recent graduate B.Tech CSE student from Rungta College of Engineering & Technology, Chhattisgarh (CGPA: 8.0+)
- Hackathon Winner — 2nd Place at Hack for Impact 2024, recognized by BoAt CEO Aman Gupta
- Love building robust Python backends + clean, minimal frontends
- Passionate about Generative AI, making complex AI accessible and practical
- Always learning something new in the AI/ML space
- Experienced with cloud deployment on Render, Railway, and Supabase
NLP & Machine Learning
Languages & Frameworks
Data Engineering & ML Tools
Databases & Cloud
Dev Tools
Transforms long-form articles into platform-ready content for Twitter, LinkedIn, Instagram, Newsletter & Medium — in seconds.
- Leverages Groq's LLaMA 3.3 70B with zero-shot learning to generate 5 platform-optimized outputs
- Full-stack FastAPI backend with JWT authentication (bcrypt hashing, 24h token expiry, 5-check password validation)
- PostgreSQL on Supabase for user management & history tracking; deployed on Render
Smart problem recommender that analyzes your submission history and targets your weak spots.
- Identifies weak topics using failure-rate analytics and dynamically recommends unsolved problems with difficulty fallback logic
- GraphQL integration with LeetCode API for real-time profile analysis across 3000+ problems
- Data pipeline (Fetch → Process → Analyze) with <1 second analysis time
- Personalized rankings using custom weakness-score algorithm
Tech: Python • GraphQL • Data Engineering • APIs
AI-powered legacy code analysis tool that automates documentation, detects code smells, and maps dependencies.
- Novel algorithm combining AST analysis + graph-based dependency mapping — automates 90% of legacy documentation, reducing developer onboarding time by 40%
- Mapped 10,000+ inter-module relationships across 7+ codebases using NetworkX & Graphviz
- Detects 6+ code smell types (dead code, duplicates, magic numbers, circular deps) with complexity heatmaps
- Multi-format output pipeline (HTML, Markdown, JSON) + interactive Streamlit dashboard
AI-powered web app that analyzes patient medical reports using multiple virtual medical specialists.
- Transforms complex medical reports into clear, structured summaries using Generative AI
- Multi-specialist virtual consultation engine — makes medical report interpretation accessible to all
Intelligent matchmaking platform connecting startups with investors — built at a national hackathon.
- ML-driven entity extraction & similarity scoring to match startups with relevant investors and incubators
- 2nd Place at national hackathon, awarded by BoAt CEO Aman Gupta
** Data Analytics Research Intern** — VOIS for Tech Program
- Automated data transformation pipelines for multi-domain datasets with preprocessing, validation & statistical analysis
- Research-grade data quality analysis across 5+ structured datasets — custom algorithms for anomaly detection, missing data imputation & feature engineering
- Built and optimized 3+ end-to-end ETL pipelines focused on scalability and production reproducibility
- Collaborated via Git/GitHub, documented technical methodologies and experimental workflows
| Degree | Institution | Score | Year |
|---|---|---|---|
| B.Tech — Computer Science & Engineering | Rungta College of Engineering & Technology, Chhattisgarh | CGPA: 8.0+ | 2022 – 2026 |
| Class 12th | Sree Narayana Guru Vidya Bhavan, Bhilai | 78.8% | 2020 – 2022 |
| Class 10th | Sree Narayana Guru Vidya Bhavan, Bhilai | 89% | 2020 |
** Hack for Impact Hackathon 2024 — 2nd Place** (National Level)
Recognized by BoAt CEO Aman Gupta for building an ML-powered startup-investor matchmaking platform
** Certifications**
Open to collaborations on AI tools, NLP research, backend systems, and anything that pushes the boundaries of what LLMs can do!
✨ "Build things that matter." ✨


