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CS undergraduate at IIIT Naya Raipur with hands-on experience designing scalable backend systems, distributed software architectures, and production-grade AI applications. Open-source contributor to PyTorch and vLLM / LLM Compressor, with a maintainer-merged PR and a maintainer-approved PR in core ML infrastructure. Selected for Amazon ML Summer School 2026. What I bring:
→ Scalable, distributed data & ML pipelines (Databricks, PySpark, Delta Lake)
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Scikit-learn · MLflow · NLP · RAG · Time-Series Analysis · Databricks · PySpark · Delta Lake · Docker Compose · JWT / RBAC · FAISS · Distributed Systems · System Design
| Project | Contribution | Status |
|---|---|---|
| PyTorch (102k★, ~21M PyPI dl/wk) | Fixed return typing of torch.fx.graph.CodeGen.process_inputs using TypeVarTuple/Unpack to preserve variadic argument types (zero runtime change) — approved by maintainer @Skylion007 |
🟡 Open (PR #188287) |
| vLLM — LLM Compressor (3.5k★) | Modernized legacy Optional[Dict[...]] typing to native dict[...] | None syntax in the sparsification utility and removed unused imports |
✅ Merged (PR #2870) |
| vLLM — LLM Compressor (3.5k★) | Built a post-calibration guard raising ValueError on missing/non-finite/non-positive KV-cache scales; refactored into a reusable validate_module_calibration pattern per maintainer @kylesayrs — iterated across 9 review commits |
🟡 Open (PR #2887) |
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Healthcare ML Pipeline — Databricks Lakehouse End-to-end cardiovascular risk prediction from PPG signals using Databricks Lakehouse (Bronze–Silver–Gold Delta Lake), PySpark, and MLflow, with reliability-adjusted late-fusion across PPG, vitals, OCR reports, and symptom history. 79.49% accuracy / 0.796 F1 on subject-wise GroupKFold (15 subjects, 6,856 windows) |
Multi-Agent AI Research Platform Production-oriented platform orchestrating 8 specialized agents (RAG, Math, Code, Citation, GitHub, Podcast) across 36 Flask routes with async job queues, bounded backpressure, and progress-polling endpoints.
Runs without external API keys — lexical + optional FAISS/sentence-transformer semantic search. |
AI-Powered Applicant Tracking System Production-ready ATS with JWT authentication, role-based access control (ADMIN / RECRUITER / CANDIDATE), 37 REST API routes, and React dashboards with request-traced audit logging and TTL caching. 86% accuracy / 84% F1 across a 41-check live smoke suite |
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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 |
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| 🟡 LeetCode / Codeforces (combined) | 400+ Problems Solved | Arrays · DP · Trees · Graphs · Sliding Window |
| 🔵 Codeforces | Pupil · Max Rating: 1263 | Greedy · BFS / DFS · Binary Search · Backtracking |
| 🏅 Achievement | Detail |
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| 🎓 Amazon ML Summer School | Selected for 2026 — competitive program for top undergraduates across India |
| 🔗 Open-Source | Merged PR in vLLM / LLM Compressor; approved PR in PyTorch (102k★) |
| 🏁 Codeforces Round 1104 (Div. 1+2) | Ranked 2,458 / 24,325 |
| 🏁 Codeforces Round 1054 (Div. 3) | Ranked 7,457 / 63,421 |
| ⚡ Codeforces | Pupil, Max Rating 1263; 400+ DS&A problems solved |
| 🎯 JEE Main 2024 | 98.25 percentile — Top 1.75% of 1.2M candidates nationwide |
| 📊 Model Quality | CardioTwin AI — 79.49% accuracy / 0.796 F1 on subject-wise GroupKFold |
- Databricks Accredited Generative AI Fundamentals — Jun 2026
- Data Science & Analytics — HP LIFE / HP Foundation — Jun 2026
🧠 Distributed Systems · System Design · Scalable Backend Engineering
⚗️ MLOps · Databricks · PySpark · Delta Lake · Experiment Tracking
🌐 RAG Systems · LLM Fine-tuning · Prompt Engineering
🔗 Deepening contributions to PyTorch & vLLM / LLM Compressor
🎯 Open-Source AI / ML Infrastructure Contributions
Seeking internship opportunities in AI/ML, backend/distributed systems, and software engineering.
Open-source contributor to PyTorch and vLLM — I bring production-grade ownership from data pipelines to deployed, documented systems.