Building systems that scale, secure, and solve real problems.
I'm a software engineer passionate about backend architecture, AI/ML pipelines, and building products that matter. Currently exploring distributed systems, cryptography, and data-driven decision-making.
I'm a final-year Computer Science student who believes engineering isn't just about writing code—it's about solving problems that matter. My focus is on backend systems, cryptography, and machine learning pipelines.
From building secure cloud migration frameworks with Bloom filters to architecting time-series forecasting systems for EV infrastructure, I approach every project with a research-first mindset and an obsession for scalability.
I leverage AI tools like Claude, Cursor, and OpenAI to accelerate prototyping and ship faster—but I never compromise on understanding the fundamentals. Whether it's optimizing algorithmic complexity or designing RESTful APIs, I focus on building systems that are both elegant and production-ready.
Built a research-led framework using probabilistic data structures to enable confidential data transfer between cloud providers. Implemented cryptographic hashing and AES encryption to ensure data integrity and permanent source deletion. The system achieves O(1) lookup complexity and scales linearly with dataset size—solving a trust problem that typically requires centralized verification.
Impact: Demonstrates understanding of distributed systems, cryptography, and algorithmic optimization. This project separates academic knowledge from engineering execution.
Architected end-to-end data pipelines for time-series forecasting across multiple districts. Chose Random Forest for interpretability and ARIMA for temporal patterns. Built an interactive dashboard that lets users compare 4 counties simultaneously—turning raw predictions into actionable infrastructure planning insights.
Impact: Shows ML model selection reasoning, data pipeline design, and the ability to ship user-facing products. Completed as part of AICTE Top 40 national ranking.
Series of progressively complex web applications culminating in a fully interactive shopping experience. Focused on component reusability, semantic HTML, and mobile-first design. Optimized rendering paths to achieve sub-2s load times across all modules.
Impact: Proves frontend fundamentals and attention to performance—skills that transfer to any modern framework.
Software Engineering Intern
AI/ML Intern
Modern engineering leverages AI for prototyping, code review, and rapid iteration.
Get a detailed overview of my experience, skills, and achievements in PDF format.
Open for internships and full-time opportunities starting 2026.