Experience

Challenge Technolabs

• Diagnosed and resolved a critical performance bottleneck on a client-facing page by implementing server-side pagination, MongoDB compound indexing, and Redis caching, reducing load times from 7-9s to under 600ms.
• Identified and resolved a cache invalidation race condition by migrating to a write-through caching strategy, eliminating stale data reads.
• Contributed to a restaurant waste analysis dashboard by building a Random Forest regression model in Python (scikit-learn) served via a Flask microservice.

Challenge Technolabs

• Developed a dynamic menu display system for a restaurant client using React and a Node.js/Express REST API.
• Built Python automation scripts for daily database backups and server log processing, reducing manual operational overhead.
• Refactored monolithic functions across the codebase into single-responsibility modules, improving maintainability.

Computer Systems Lab • University of Louisville

• Engineered fio benchmarking experiments across multi-generational storage devices, cutting data collection runtime by 81%.
• Analyzed I/O traces of storage system access patterns from ML training workloads targeting caching optimization in large-scale distributed storage systems.
• Conducted structured literature reviews of published systems research and developed data visualization to communicate benchmark results.

Bioinformatics Research • OCTC

• Designed and executed biological experiments on Drosophila as a model organism for Polycystic Kidney Disease (PKD) research.
• Managed and maintained structured research data across multi-semester experiments, ensuring reproducibility and data integrity.