• Engineered high-performance data structures using C++ and Linux for low latency OLAP workloads, resulting in a 30%increase in throughput, leveraging Be-trees and vector quotient filters• Engineered a workload-adaptive index for databases serving billions of users, yielding a notable 30% increase inthroughput, a corresponding 30% reduction in latency, and a 35% decrease in disk I/Os, leveraging C++, Be-trees, andSplinterDB• Contributed to a collaborative paper on full-feature filter data structures by conducting key experiments that addedvalue and informed future project decisions

• Led development of highly available and scalable microservices and REST APIs for IoT product, boosting team productivityby 20%• Designed and implemented API Gateway enhancements, resulting in a 600% decrease in response time using Java,Spring Boot, Redis, and PostgreSQL technologies for optimization• Managed the lifecycle of central Redis utility for distributed task processing, resulting in a textbf150% enhancement of APIresponse• Led cross-functional design discussions to ensure seamless alignment among teams, enhanced team collaboration, andstreamlined project execution timelines resulting in increased productivity• Improved code quality by 80% by conducting static code analysis on 11 microservices• Revitalized the automation testing framework and seamlessly linked it with the CI/CD pipeline to achieve a 40% reductionin testing time

• Established an educational startup dedicated to simplifying intricate concepts and addressing challenges in computerscience and software engineering, delivering high-quality solutions focused on software development problem• Illustrated the overall design and vision of the product through a prototype built in Notion, enhancing stakeholderunderstanding leveraging design expertise• Recognized market niche constraints and pivoted away from the concept after initial exploration, leveraging insights frommarket research tools and product development proficiency

Founder of a startup currently in the ideation phase.

I write articles on ML and teach concepts from a beginner's perspective.

• Designed a scalable database schema for a mobile app to accommodate 30,000 daily users, leveraging Python, PostgreSQL,Redis, and Celery for optimal performance• Enhanced data acquisition systems by implementing web scraping, Python, and PostgreSQL, resulting in a 50% reductionin latency• Leveraged NLP to automate content curation, resulting in a 30% increase in user engagement, with a focus on keywordextraction for enhanced performance

Currently researching the application of computer vision in IoT systems, with the incorporation of CPS