MyExpertise
The languages, frameworks, and tools I work with, and how I use them.
Programming Languages
The languages I work in most: TypeScript for production apps, Python for research, and C++ for contests.
JavaScript / TypeScript
4 YearsProduction Full-Stack Development
Python
2 YearsML Research, Data Pipelines, Scripting
C++
4 YearsCompetitive Programming, DSA, Firmware
Java
2 YearsOOP, Design Patterns, Desktop Apps
Related Projects
Three live apps: a Next.js 15 portal, an Express + TS API, and a React admin dashboard.
The reproducible ML experiment grid behind my paper, now under peer review.
AI & Machine Learning
Controlled experiments and reproducible pipelines, with metrics chosen to hold up under review.
Neural network training for my thesis: ANN architecture search over ODE systems.
Classical ML baselines, class-imbalance strategies (SMOTE, weighting), model comparison.
Data pipelines, feature engineering, and numerical methods (RK4, ODE solvers).
Seeded, leakage-proof, config-driven experiment grids with automated result visualization.
schoolCurrently Learning
Web & Mobile
Frontend
- React 19 / Next.js 15
- Tailwind CSS / Radix UI
- Zustand / TanStack Query
Backend
- Node.js / Express / NestJS
- MongoDB / PostgreSQL / Supabase
- REST / OpenAPI / Zod / JWT
Mobile & Real-Time
DevOps & Tools
Deployment & Cloud
Development Environment
Certifications
View Credentials100% Merit Scholarship
United International University • 6 Terms (Top 3%)
Research Paper Under Review
Class-Imbalanced Intrusion Detection • 2026
500+ Problems Solved
Codeforces, LeetCode, HackerRank • Ongoing
Soft Skills
"The best way to learn is to teach." TA work and peer mentoring have made me better at both.