Aug 2024 – Present · 1 yr 7 mos

• Leading Microsoft Ad Exchange/Impbus - Microsoft Monetize.

Feb 2024 – Jul 2024 · 5 mos

• Leading Edge shopping coupons team.
• Managed and coached a team of 5 developers and 4 vendors, enhancing their technical skills and leadership abilities. Identified appropriate skills and assigned relevant projects, contributing to both team success and individual growth. Received top-tier manager feedback signals for FY24.
• Collaborated with global teams to resolve performance bottlenecks, define a technology road map yielding \$6B in annual savings and \$4M in monthly revenue, and standardize engineering processes, enhancing system performance saving resources of Azure by 25\%..
• Delivered key projects like copy/apply revenue model for coupons which enhanced revenue by 200\%, reclaiming lost shopping users, coupons corpus increase by 20\%, secured and trustworthy pipelines with reduction in incidents by 50\%.
• Enhanced project management by implementing effective task tracking methods like ADO, scrum managers, improving project organization and delivery.

Mar 2023 – Jan 2024 · 10 mos

• Spearheaded the coupons quality project and led a team, architecting and implementing techniques that increased coupon success rates from 17\% to 47\%, reducing user dissatisfaction by 15\%.
• Led the coupons savings team, identified corpus gaps, and designed and implemented a corpus increase plan, resulting in a 10\% increase in overall savings and a 20\% reduction in not-found instances.
• Led comprehensive design, technical direction, and execution of enhancements across coupon systems, including optimizations in pipeline efficiency, strategic collaboration with cross-functional teams, and system-level architecture improvements for scalability and robustness, REDIS cache from 500M to 100k is an example.
• Contributed to architecture changes in filtering, ranking, serving and logging services for coupons, supported by robust ML model integration and telemetry analysis which enhanced the user experience quality of coupons.
• Successfully implemented various enhancements across BING shopping features and infrastructure, including significant revenue growth through price comparison tools, revamped price comparison data with improved user experience.
• Optimized load times and reduced abandonment rates on product details page, and introduced new capabilities like product page as an API for multiple surfaces, resulting in increased annual revenue by \$1.6M and improved user engagement metrics site-wide by 10\%

Sep 2022 – Feb 2023 · 5 mos

• Collaborated closely with the ads team and partners to execute revenue-enhancing experiments, introducing various user experience layouts and implementing extensive instrumentation and logging changes.
• Delivered impactful user experience features, such as displaying ads in the Pole position grid layout on shopping pages (annual revenue estimate: $1.6M), Pole carousel layout animation on vertical (annual revenue estimate: $1.2M), and
• Related product ads in a grid layout on vertical (annual revenue estimate: $0.12M)..
• Designed, launched, and implemented text ads on vertical (annual revenue estimate: $0.6M).
• Enhanced user experience for ads in vertical with multiple images and hover capabilities.
• Engineered frameworks, including a grid interspersing framework enabling flexible card replacements and carousels supporting horizontal and grid layouts with configurable settings, optimizing screen space utilization.

Jun 2019 – Aug 2022 · 3 yrs 2 mos

• Developed key revenue features like direct ad clicks, enabling high relevant ads, improved text ads components, ad UI responsive changes for BING shopping. Revenue impact is ~20-25% bump.
• Architected and built responsive product details page for BING shopping. Built an infra for promotion of these pages from multiple surfaces and tracking, instrumenting metrics from this external traffic. Shipped these experiences across 9 markets increasing the DAU by 30% and revenue by 24%.
• Implemented responsive shopping experiences on MSN shopping vertical, built RESTFUL microservices to serve experiences on MSN to handle a peak traffic at scale of 15K QPS. Microservices are used for the BE and web components, react are used for FE development. This allowed to get net new additional DAU to shopping team.
• Built a visual feed experience which enriches the users and inspires them to buy a complete look. Handled data ingestion, mining, formatting, object store ingestion, microservices and API and UX using web components.
• Built a Content Management System tool which is used to handle very high scale data. This tool is used daily to power up 5M impressions and continuously optimized to enable any content in real time.
• Drove multiple shopping experiments on Search results page with multiple iterations and to ship features which had an increase of around 70K DAU.
• Enabled multiple infra and positional components in BING Search results page which optimizes page layout and can be used to enable any feature component easily.
• Developed the FE infra for enabling non charged ads on shopping pages which was a key relevance change. Built an end-to-end automated instrumentation infra and reporting system.
• Enabled personalized modules on shopping pages and user even tracking system from FE which will be sent as feedback to improve the personalization results.

Jan 2018 – May 2019 · 1 yr 4 mos

• Primarily responsible and key developer for building responsive and highly scalable shopping pages, experiences, and modules on BING from scratch which have a very high QPS and are the P0 components. Built various experiences like shopping hub pages, gifting experiences, store front pages, SERP components, ratings, price drop alerts, special offers, deals, image rich filters, highly engageable filters, full bleed images, major shop experiences like MSN integration with BING, integrating and powering different pages by query understanding and serving the context-based pages to the users behind a single end point (/shop) working with multiple partner teams.
• Migrated the entire Auto suggest component on shopping to tie based API. The architecture was built and scaled in such a way that all other partner teams in Microsoft migrated on the same architecture.
• Gained expertise and handled all the GDPR regulations, cookies and notifications, accessibility for shop pages.
• Worked on reverting ad blocker components – worked with multiple partner teams to enable common scripts on BING.com pages which would at run time decide whether an essential component is getting blocked and reverted them through DOM copy reverse mechanism.
• Launched shopping experiences in 12 non-US markets, handled localization with data etc.
• Built end to end revenue feedback logging mechanism which is the crucial component metric for tracking the revenue. Set up an automated pipeline which would work for all the large QPS ads on all shopping experiences.
• Became a champ in driving instrumentation, data analysis and experimentation. Defined many instrumentation components and metrics which are still used in deciding the success of shop experiences.
• Became a scorecard reviewer expert for BING experiences across all segments. Reviewed and ship approved multiple experiences across BING.
• Mentorship, UI design and architecture documentation are other expertise areas.

Jun 2017 – Dec 2017 · 6 mos

• Worked on BING SERP Health experiences:
• Built experiences which consolidates and shows data for all the health-related queries on BING.COM. This information includes diseases (shows causes, symptoms, treatments), drugs (dosages, purpose) etc. anything related to health segment.
• This included building various rich user interface components like accordions, tabs, exploratory links, headers, footers, legal information, doctor prescriptions. Experimented and shipped multiple components which are supposed to scale and handle 13K QPS and handle all the edge cases.
• Shipped multiple User experiences – which improved engagement by 16% overall for Health segment experiences and increased the Daily active users by 2 times.

Jun 2016 – May 2017 · 11 mos

• Worked on Cortana experiences:
• Built end to end personalized delightful UI experiences for users in CORTANA Windows which were very crucial for personalization goals of Cortana.
• Users were able to create and set reminders for their upcoming flights, trips, their favorite team matches, view trailer videos of favorite movies and songs, and get personalized quotes/deals cards for special days like Father’s Day, Mother’s Day etc.
• These experiences are built to scale up to 2K QPS and set up end to end automated visual parity and integrated tests.
• These experiences are shipped and deployed to production which improved users’ engagement by 27% overall and increased the Daily active users (DAU) by 1.5 times.