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CS undergraduate at IIIT Naya Raipur building production-grade AI/ML systems — from raw data pipelines and feature engineering all the way to deployed APIs and dashboards. I specialize in turning messy real-world data into clean, explainable, and deployable AI products. Every project ships with evaluated models, FastAPI services, Streamlit dashboards, Docker configs, and documentation. What I bring:
→ Feature-engineered, reproducible ML pipelines
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Scikit-learn · LightGBM · XGBoost · Pandas · NumPy · Streamlit · Plotly · Hibernate ORM · Spring Security · JWT · Docker Compose · Render
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Self-Supervised PPG Intelligence Platform Converts raw wearable PPG signals into a complete AI workflow — signal cleaning, spectrogram generation, self-supervised pre-training, uncertainty quantification, and interactive product demo. |
Air Pollution Forecasting & Risk Analytics Large-scale pollutant forecasting with 202 engineered time-series features, region-wise AQI risk interpretation, anomaly alerts, and interactive dashboards.
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AI-Powered ATS & Candidate Matching System Full-stack ATS automating resume parsing, semantic JD matching, candidate ranking, shortlist prediction, skill-gap analysis, interview kit generation, and HR assistant. |
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Hospital Management System Role-based hospital platform for Admin, Doctor, Receptionist & Pharmacist with billing, pharmacy, appointment scheduling, patient records, and BCrypt-secured authentication.
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Civic Issue Resolution Platform Location-based complaint tracking with AI-assisted categorization, duplicate detection, severity handling, and geospatial task assignment across citizen, official, and worker roles.
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Agricultural Marketplace Platform Digital farm-to-buyer marketplace with smart crop matching, location proximity scoring, bidding workflows, advisory notifications, and JWT-secured role-based access.
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| Platform | Standing | Core Topics |
|---|---|---|
| 🟡 LeetCode | 150+ Problems Solved | Arrays · DP · Trees · Graphs · Sliding Window |
| 🔵 Codeforces | Max Rating: 1118 | Greedy · BFS / DFS · Binary Search · Backtracking |
| 🏅 Achievement | Detail |
|---|---|
| 🎯 JEE Main 2024 | 98.25 percentile nationwide |
| 🏆 Hackathon | Led team @ Hackathon-Xcelerate, IIIT Naya Raipur |
| 📊 Model Quality | AirSense PM2.5 R² = 0.978 on 586,000+ records |
| 🤖 AI/ML Delivery | 3 end-to-end systems: Signal AI, Forecasting, NLP/ATS |
| 🐳 Deployment Stack | FastAPI · Streamlit · Docker · Render · GitHub Actions |
| 📐 DSA Consistency | 150+ problems across LeetCode & Codeforces |
🧠 Advanced Deep Learning · Transformer Architectures · Attention Mechanisms
⚗️ MLOps · Experiment Tracking · Model Registry · CI/CD Pipelines
📡 System Design · Distributed Systems · Scalable Backend Engineering
🌐 LLM Fine-tuning · Prompt Engineering · RAG Systems
🎯 Open-Source AI / ML Contributions
Seeking internship opportunities in AI/ML, Python development, and software engineering.
I bring full-stack ownership — from data pipelines to deployed, documented products.