Mountain View, California, United States
As a graduate student pursuing a Master's in Computer Science at the University of Massachusetts, Amherst, I am deeply passionate about learning emerging technologies, solving complex problems with innovative and efficient solutions, and delivering top-notch software products that meet the expectations of both clients and users. With a background as a Full Stack Developer at Phenom, I've honed my skills in creating impactful features, user experiences, and ensuring product stability. My interests span across General Software Development, Infrastructure, Backend Technologies, Machine Learning and Information Retrieval. Whether working independently or collaboratively, I thrive on the challenges of building reliable, scalable, and performant enterprise applications, consistently striving for excellence in everything I do. I am enthusiastic about applying my skills to a full-time/internship opportunity that resonates with my interests. Let's connect and together, we can make a meaningful impact on technology.
▪︎ Developing an intelligent and scalable LLM router that dynamically selects the most cost-effective model per query, guided by cross-attention predictors and adaptive, reward-based decision functions. ▪︎ Building a lightweight routing strategy using phi-3.5-mini-instruct as an SLM-based router with robust few-shot prompting, effectively leveraging its in-context learning to enable smarter, cost-aware model selection.
▪︎ Boosted site performance through AWS CDN caching implementation, resulting in a 30% reduction in page load times and significantly enhancing overall site responsiveness, while reducing company costs by 15%. ▪︎ Implemented interactive Vue.js Web UI components, resulting in a 30% increase in lead volume, while ensuring accessibility compliance across all widgets based on Web Accessibility Standards (WAS). ▪︎ Efficiently incorporated our applications with Google ReCaptcha to safeguard career sites from automated users while seamlessly supporting multiple versions including reCAPTCHA v2 Invisible, v3 and Enterprise. ▪︎ Deployed Signoz for microservices monitoring, ensuring comprehensive analysis of system reliability and performance. ▪︎ Developed a widget(Find-your-fit) for a career site to draw insights of the Applicant based on the Resume or questions flow and recommended jobs accordingly. Helped in boosting Apply clicks by 40%. ▪︎ Designed (Custom Job Pages) feature to facilitate users to build custom pages for different jobs based on the filter provided. Worked in the end to end development of the feature. ▪︎ Successfully migrated six major widgets from Aurelia framework to Vue.js framework, leveraging Vue.js' virtual DOM feature for enhanced performance and scalability ▪︎ Authored API test scripts, streamlining regression testing processes and achieving a remarkable 70% reduction in testing time, thereby significantly enhancing build quality.
▪︎ Built and integrated front-end components using React, ensuring seamless interaction with backend APIs for responsive user interfaces. ▪︎ Created RESTful web services using Spring Boot, ensuring efficient and scalable communication between client and server applications.