Designed and evaluated systems-focused academic projects centered on distributed stream processing, large-scale recommendation pipelines, and constraint-based algorithmic problem solving. Implemented a work-stealing scheduler for distributed stream workloads to mitigate data skew and improve resource utilization, developed and benchmarked recommendation models across tens of millions of records using collaborative filtering and deep learning architectures, and built a constraint-based puzzle solver with rule-driven inference and performance evaluation across multiple board configurations.

Built and maintained services for a digital healthcare platform supporting insured users and enterprise clients. Developed systems for order management, fulfillment coordination, and product discovery to ensure reliable service across medicines, lab tests, and consultations. Collaborated with cross-functional teams to improve operational stability, streamline workflows, and maintain consistent platform performance during high-demand periods.

Contributed to backend and data engineering initiatives as a software engineering intern on a large-scale consumer platform. Supported inventory and pricing workflows by developing data refresh pipelines, validating service integrations, and improving observability. Collaborated with senior engineers to enhance system reliability, monitor production services, and assist during high-traffic periods to maintain stable platform operations.