- Performed an in-depth analysis of the legacy data pipeline codebase, utilized across multiple teams, written in Java and Spark. Meticulously documented its intricacies, providing an invaluable resource for the team to streamline future development and troubleshooting endeavors.- Created an internal failure reporting tool that notably accelerated the identification and resolution of data pipeline issues, thereby improving operational efficiency across the board.- Contributed in the… Show more - Performed an in-depth analysis of the legacy data pipeline codebase, utilized across multiple teams, written in Java and Spark. Meticulously documented its intricacies, providing an invaluable resource for the team to streamline future development and troubleshooting endeavors.- Created an internal failure reporting tool that notably accelerated the identification and resolution of data pipeline issues, thereby improving operational efficiency across the board.- Contributed in the improvement of a custom project enabling LTV (Lifetime Value) calculation for Firefox extensions by leveraging historical data from Chrome extensions. The generated LTV insights are instrumental for business teams to conduct cohort analysis, tracking user performance over time since installation. Show less

- Implemented and deployed a fixed-variance variant of the Thompson Sampling algorithm to maximize advertisement revenue for Media.net’s job finding site targeting the U.S. blue-collar job market. This data-science technique enabled the team to programmatically display more popular jobs to users, thereby maximizing earnings measured by the Revenue per Impression (RPI) metric.- Contributed to developing a Job-Search Engine service, leveraging Elasticsearch for filtering jobs based on… Show more - Implemented and deployed a fixed-variance variant of the Thompson Sampling algorithm to maximize advertisement revenue for Media.net’s job finding site targeting the U.S. blue-collar job market. This data-science technique enabled the team to programmatically display more popular jobs to users, thereby maximizing earnings measured by the Revenue per Impression (RPI) metric.- Contributed to developing a Job-Search Engine service, leveraging Elasticsearch for filtering jobs based on user-specified criteria like search-keywords, geo-location, and pay range. Implemented diverse strategies and a robust fallback mechanism for accurate and reliable results. Show less

- Enhanced accuracy and efficiency of the team’s marquee product: job-search site for the US-blue collar job-market. - Improved job-search engine by devising an algorithm to extract user search term intent into multiple fields like company- name, job-title, job-type etc., and achieving 97% accuracy, while also reducing request processing time by 5x using Redis caching. - Leveraged sophisticated techniques including Bk-tree data structure and Dynamic-programming heuristic to handle… Show more - Enhanced accuracy and efficiency of the team’s marquee product: job-search site for the US-blue collar job-market. - Improved job-search engine by devising an algorithm to extract user search term intent into multiple fields like company- name, job-title, job-type etc., and achieving 97% accuracy, while also reducing request processing time by 5x using Redis caching. - Leveraged sophisticated techniques including Bk-tree data structure and Dynamic-programming heuristic to handle spelling and spacing mistakes in user search terms. Show less

Created and deployed an internal failure reporting tool to validate the company database. Automated alerts on a dedicated Slack channel upon detection of issues, leading to faster error identification and reducing developer testing time during database logic changes or code interactions.

Responsible for conducting coding lab sessions for 15+ students and fostering their algorithmic problem solving skills.