Apr 2021 – Dec 2024 · 3 yrs 8 mos

• Advertisement Technology
• 1. Led a team of 4 in launching a new ad-serving framework aligned with Amazon’s location-based delivery context, prioritizing offers with faster delivery. This initiative is projected to generate over $80MM in annual global revenue.
• 2. Spearheaded the development of an ElasticSearch-based ad sourcing engine, capable of handling 90K transactions per second (TPS) with p99 latency under 20ms.
• 3. Designed and implemented an innovative ad-blending solution, integrating sponsored ads with organic slots, resulting in a quarterly revenue increase of +$70MM.
• 4. Collaborated with ML engineers to build a real-time platform for training machine learning models used to detect profane content, saving Amazon $16MM annually in legal and operational costs.
• 5. Developed a self-service platform that drastically reduced the integration time of ML models into ad ingestion workflows, shrinking the onboarding process from 5 weeks to 1 week, ensuring compliance with marketplace policies.
• 6. Launched new ad features for browseNode-level filters, such as "ALL Discount" and "Discount %", contributing an estimated $50MM/year in revenue.
• Consumer Payments
• 1. Led a team of 6 in developing a post-settlement debt tracking platform for the EU region, enabling the recovery of over $365MM annually for Amazon.
• 2. Launched Business Fraud Score (BFS) 2.0, a fraud prevention model targeting gaps between customer registration and their first purchase, preventing a $2.9MM loss in the US and $3.3MM in the EU.

Apr 2019 – Mar 2021 · 1 yr 11 mos

• TRMS - Transaction Risk Management Systems
• Transaction Risk Management Systems (TRMS) is vital to protecting Amazon customer trust.Our mission is to make Amazon the safest and most trusted place on Earth by protecting the innocent and preventing the malicious. We enable customers (including buyers and developers)to use Amazon’s services with confidence by ensuring every transaction is trusted and safe from fraud, abuse, and other scams.
• 1. Launched multiple campaigns for fraud and abuse detections.
• 2. Build scalable robust systems which evaluates thousands of transactions per second.
• 3. Build tools which helped team to simplify onboarding of clients on TRMS platforms.
• Worked on
• Backend : Java, Python
• Frontend: React, Redux, JSP, HTML
• Scriptting: Bash Script
• Others: AWS, Git

Mar 2021 – Feb 2022 · 11 mos

• Mentoring college students/professionals to excel in coding interviews. Helping students with DS/Algo and full stack development

Aug 2017 – Mar 2019 · 1 yr 7 mos · Bengaluru Area, India

• Worked as a full-stack developer. During this duration, I’ve worked on MEAN stack, JAVA, AWS, Heroku technologies.
• 1. Integrated platforms like OrderHive and LeadSquared onto a new platform for making order placements easier.
• 2. Created a new portal to keep track of the activities of a salesperson like revenue, attendance,order tracking, employee history tracking, incentive calculation etc.
• 3. Created a new process for one of the major payment modes that decreased the product delivery time to the customer.
• 4. Created various standalone microservices like notification hub which is used to send more than thousand of email per day.
• 5. Created a dashboard for efficient lead management.
• 6. Integration of Paytm and PayU payment gateways for automatic successful payment approvals.

Jan 2017 – Jul 2017 · 6 mos · Bengaluru Area, India

• Worked on Notification Platform and targeted customers to send them notifications on email, push and SMS.
• 1. Launched a worldwide program which sends notifications about items present in cart engaging customers through Email and Push Notifications.
• 2. Added a filter in platform that programs to target customers on channels like WeChat, SMS, mobile (push notification).
• 3. Added a new support to collect data of different programs in a common location which can be used later for launching more programs.
• Worked on EMR, SWF, Handlebars during these projects.