I'm a Computer Science undergraduate at NSUT, Delhi (Class of 2028), heading into my third year with a strong focus on full-stack engineering, systems thinking, and applied machine learning. I like owning products end-to-end — from designing APIs and data models to shipping production-grade, scalable interfaces.
- Comfortable across the stack: React / TypeScript on the frontend, FastAPI / Go / Node.js on the backend, and PostgreSQL / MySQL / MongoDB for data
- Strong interest in applied ML — gradient-boosted ensembles, model interpretability (SHAP), and production ML pipelines
- Product-engineering mindset — took a platform from staging to production solo, with security, SEO, CI/CD, and monitoring (99%+ uptime)
- Currently sharpening system design fundamentals and cloud basics ahead of internship season
Languages
Frontend
Backend & Databases
Cloud, DevOps & Tooling
| Domain | Proficiency | Details |
|---|---|---|
| Supervised Learning | High | Gradient-boosted ensembles (XGBoost, LightGBM) for multi-class classification on large-scale tabular data (2.8M+ network flow records) |
| Model Explainability | High | SHAP-based feature attribution integrated into live inference pipelines for per-prediction interpretability |
| Data Engineering | Intermediate | Flow-feature extraction pipelines (Scapy), preprocessing, and class-imbalance handling with imbalanced-learn |
| ML Systems / Serving | Intermediate | Real-time model serving via FastAPI + WebSockets, containerized with Docker Compose |
| Deep Learning Fundamentals | Foundational | PyTorch / TensorFlow basics — actively deepening as part of placement prep |
current_focus:
learning:
- System Design (HLD/LLD fundamentals)
- Advanced SQL & Database Internals
- Cloud Fundamentals (AWS / GCP basics)
- Redis & Caching Strategiesbuilding:
- The Sentinel — ML-based NIDS with real-time explainability
- Personal portfolio & dev-tooling side projectsexploring:
- LLM-powered developer tools & agentic workflows
- Distributed systems & scalable backend architectureopen_to:
- SDE Internships — Backend / Full-Stack / ML (Summer 2026)
- Remote / Delhi NCR / Hybrid roles
- Open-source collaboration on dev tools & ML systems
"Code is the closest thing we have to magic — write it deliberately."