Building real-world healthcare tools that turn complex patient data into clear, actionable insights for clinicians and patients alike

Owning features end-to-end, from idea and experimentation to production, across web, backend, and ML systems

Designing intelligent systems that learn over time, adapt to users, and reduce manual effort in high-stakes clinical workflows

Collaborating closely with researchers, clinicians, and engineers to translate messy real problems into usable technology

Shipping fast, iterating often, and improving systems based on real feedback, not just metrics

Supporting digital learning initiatives at NYU, I work on AI-driven education tools to enhance student learning and faculty efficiency. I developed an automated OMR grading system that significantly reduced manual workload, along with an OCR-based solution for streamlined evaluation. Additionally, I built a RAG-powered query resolution system, improving response efficiency and reducing grading disputes. My work integrates student feedback loops and ML-driven optimization strategies, shaping the future of AI in education.

As a Backend Developer at Gametion, I worked on scaling the infrastructure behind Ludo King, one of the world's most popular mobile games. I optimized databases and backend APIs to ensure smooth gameplay, developed a tournament engine that supported large-scale player engagement, and implemented scalable cloud solutions to handle rapid user growth. This experience strengthened my expertise in distributed systems, cloud computing, and backend optimizations for high-traffic applications.