• Backend-focused full stack engineer who recently wrapped up an internship at Labmentix, where I worked as a Backend-Focused Full Stack & Lead Frontend Developer
• Led frontend architecture and contributed to backend security on PhishGuard, an AI-powered phishing detection platform — found and patched a role-check vulnerability and a password-hash exposure bug, and resolved an authentication race condition
• Shipped and maintained AETHER-1, a CubeSat digital twin with edge AI anomaly detection, which won 1st place at a Major Project Exhibition and was selected for the 49th KSCST Student Projects Programme
• Co-author of a published paper on federated learning for CubeSat/LEO satellite systems, presented at ICKECS 2026
• Comfortable across the stack but happiest in the backend — Python, FastAPI, SQL, REST API design, and system security
• Actively building an open-source contribution portfolio — working real GitHub issues end-to-end (forking, branching, PRs, review cycles)
• Interested in system design, databases, ML-driven applications, and satellite/embedded systems

Backend: FastAPI • Uvicorn • SQLAlchemy • JWT Auth • RBAC • Passlib • scikit-learn

Frontend: Next.js • React • TypeScript • Tailwind CSS • Framer Motion

Infra & Tools: PostgreSQL • Neon • Vercel • Render • Docker • Git/GitHub • Postman

Labmentix — Backend-Focused Full Stack & Lead Frontend Developer Intern (Remote) · Jan 2026 – Jul 2026

• Led frontend development and contributed to backend architecture on PhishGuard, an AI-powered phishing detection platform
• Built scalable REST APIs and optimized backend workflows using FastAPI
• Implemented JWT authentication and RBAC authorization systems; identified and fixed a security vulnerability involving missing role checks and exposed password hashes
• Resolved an authentication race condition and ensured seamless integration between frontend and backend systems

Zephyr Technologies — Data Science Intern (Bengaluru, India) · May 2025 – Jun 2025

• Built a predictive model for heart disease detection using EDA and preprocessing
• Derived actionable insights from healthcare datasets using Pandas and Matplotlib

A Systematic Review of Federated Learning Algorithms for CubeSat and LEO Satellite Systems

Presented at ICKECS 2026 (April 25, 2026) — a systematic review of federated learning algorithms evaluating synchronization, communication efficiency, and security in LEO environments, with a decision matrix mapping algorithmic trade-offs to mission-critical satellite deployments.

• AWS Academy Graduate – AWS Academy Cloud Foundations (Jan 2025)
• Google Cloud Community – Certification of Participation (Sep 2024)
• Data Science Internship – Certificate of Completion, Zephyr Technologies (Jun 2025)
• 30 Days of Angular – Build 30 Projects with Angular, Udemy (Jul 2025)
• Introduction to Programming Using Python – Etnotech Solutions (Jul 2023)

_{Click to view my portfolio or download my full resume}

Systems over shortcuts. Architecture over noise.

I build backend systems with a focus on scalability, reliability, and real-world constraints — not just functionality.

• ⚙️ Design systems that handle load, failure, and growth
• 🔐 Prioritize security, validation, and data integrity
• ⚡ Optimize for performance and efficient resource usage
• 🧩 Write clean, modular, maintainable code

I treat software as infrastructure — built to last, scale, and evolve.