Mar 2022 – Aug 2024 · 2 yrs 5 mos · Seattle, Washington, United States · On-site

Jun 2020 – Mar 2022 · 1 yr 9 mos · Seattle, Washington, United States · On-site

Jan 2020 – Jun 2020 · 5 mos · Cincinnati, Ohio, United States

• Worked on the following projects
• ● PubMed Anesthesiology Abstracts Classification: I developed a text classification model that categorizes anesthesiology abstracts on PubMed, organizing incoming medical literature for easier access by healthcare professionals.
• ● Face Detection in the International Dunhuang Project: In a task for the International Dunhuang Project, I developed a face detection model capable of identifying multiple faces within a single image.
• ● Predictive Model for Neonatal Care: I designed a predictive model to forecast the success rates of infants being weaned from ventilation systems. This tool aids medical staff by providing data-driven insights, ultimately improving care for vulnerable newborns.

Sep 2016 – Jul 2019 · 2 yrs 10 mos · Bangalore · On-site

• I developed and deployed deep learning & ML models aimed at enhancing media content accessibility and user engagement, while mentoring junior engineers, guiding them through the complexities of machine learning projects.
• My projects included:
• ● Sports Video Classification: Leveraged deep learning models to accurately classify sports videos, enabling more effective content organization and retrieval.
• ● Content Safety: Developed models to filter Not Safe For Work (NSFW) thumbnails, ensuring a safe viewing environment
• ● Thumbnail Quality Assessment: Designed and deployed algorithms for predicting thumbnail quality, significantly improving the visual appeal and effectiveness of video previews.
• ● Resolution Enhancement: Created models to improve lower-quality thumbnails, to enhance visual clarity without compromising on load times.
• ● Optical Character Recognition (OCR): Created an OCR pipeline specifically for books in various Indian vernacular languages, significantly improving text recognition accuracy and facilitating the digitalization of valuable literary content.
• ● PDF to EPUB Conversion: Developed a robust pipeline to convert PDF documents into the EPUB format, streamlining content accessibility across different digital platforms.
• ● Video Recommendation System: Implemented a recommendation engine using frequent pattern mining, information retrieval algorithms, and clustering of thumbnail and text embeddings, delivering personalized content recommendations to enhance user engagement.
• ● Scalability: Successfully scaled the recommender systems to accommodate over 1 million users, optimizing performance and ensuring a seamless user experience across the board.
• These initiatives not only highlighted my technical expertise in developing and deploying AI and machine learning solutions but also underscored my leadership in mentoring emerging talent.

Oct 2015 – Sep 2016 · 11 mos · Bengaluru, Karnataka, India · On-site

• Joining YourDOST as one of the first three engineers during its seed funding stage, I
• significantly contributed to the platform's development, focusing on enhancing the digital
• experience for users seeking online psychological counseling. My contributions were critical in
• establishing and refining the core functionalities of the platform:
• ● Authentication and Security: Developed a robust authentication module, ensuring user
• data privacy and platform security.
• ● Payment Processing: Integrated a seamless payment system, enabling smooth and
• secure transactions for users.
• ● Data Analytics: Implemented an analytics framework to capture and analyze user
• behavior, providing insights for continuous improvement.
• ● Engagement Tools: Created interactive psychological self-tests and games, adding value
• for users while enhancing engagement.
• ● Communication Enhancements: Innovated the messaging system to support drafts and
• offline messaging, ensuring uninterrupted user communication.
• ● User and Counselor Growth: Designed effective landing pages that significantly
• increased the platform’s user and counselor engagement.
• ● Admin Dashboard: Developed an admin dashboard with key features like counselor
• onboarding flow, user management, and chat monitoring, streamlining platform
• administration and enhancing user safety.
• My role at YourDOST not only demanded technical proficiency but also a deep understanding of
• user needs, contributing to the platform's growth and the enrichment of its service offerings

Sep 2014 – May 2015 · 8 mos · Bengaluru, Karnataka, India · On-site

• Migrated critical banking services for Halifax Bank of Scotland (HBOS), including reports, data extracts, and XML statements, from Oracle FLEXCUBE version 10.3 to 11.3. This comprehensive project involved meticulous testing of individual components, followed by thorough integration testing to ensure cohesive system functionality post-migration. My role required close collaboration with cross-functional teams to address and resolve any issues, ensuring a smooth transition with minimal downtime.

Jan 2014 – Jun 2014 · 5 mos · Noida

• Worked on Data Management Platform for a proprietary product wherein I worked on getting the Indian legal and more such open public data sets.
• Worked on a generic web- data-mining tool for the Data Management platform and as a standalone tool to be used in other departments at Innovaccer too.
• I have initiated work on a Cloud R interface which is an implementation of R programming console on the cloud using Google Compute Engine architecture. I have worked on this end to end both frontend and the backend, the feature is under beta version and is adapted in the proprietary product. I have also auto scaled the application.
• Apart from this, I have helped in various crawling and UI assignments from time to time.

May 2013 – Jun 2013 · 1 mo · Pune · On-site

• Utilized the Twitter API to systematically extract tweets focused on Tata Motors' products, conducting an in-depth sentiment analysis by employing a Naive Bayes classifier. The project provided critical insights into public perception, guiding strategic decisions by highlighting areas for product and service enhancements