Undergraduate in Mathematics & Computing at IIT Goa
focused on building robust backend systems and applied machine learning models with strong emphasis on correctness, trade-offs, and mathematical understanding.

I care about:

• clean system abstractions
• correctness under concurrency
• performance vs simplicity trade-offs
• understanding ML models beyond black-box usage

This is My Tech stack:

• C++ backend services with clear separation of concerns
• Concurrency control (mutexes, invariants, race-condition prevention)
• API design, routing, persistence layers
• Writing code that is interview-defendable, not framework-dependent

• Data analysis and ML pipelines in Python
• Model training and evaluation using PyTorch
• Focus on loss behavior, optimization dynamics, and failure modes
• Preference for models I can reason about mathematically

• Languages: C++, Python, JavaScript
• Systems: STL, threading, mutexes, file I/O
• ML: PyTorch, NumPy, Jupyter
• Data: SQL (MySQL, SQL Server)
• Web: HTML, CSS, Tailwind