Mar 2025 – Nov 2025 · 8 mos · Bengaluru, Karnataka, India · Hybrid

• Built a pricing orchestration system connecting 1k+ merchants and suppliers, enabling them to negotiate better, create submissions, and run pricing scenarios with guided retail cost, tariffs, and landed costs, along with APIs, schedulers, and merchant-facing micro frontends.Estimated to process 3M+ submissions annually, saving 10k+ negotiation hours and driving $15M estimated yearly savings.
• Tech Stack: Java, Spring MVC, Typescript, Azure SQL, React.js, Open telemtry, Kubernetes, Prometheus, Kibana, Loki, Kafka, Flink, Jaegar, Elastic Search

Mar 2021 – Mar 2025 · 4 yrs · Bengaluru, Karnataka, India · Hybrid

• Working in Consumer Payments .
• Enabling customer to use the "best" financing option. This reduces a lot of redundant selection process and ensures fast and highly satisfied customer experience. Working with different teams to add more financial powers to our feature and provide a plethora of options to customers and raise internal ops.
• Launched desktop platform version of our detail page feature which already has 2 billion fingerprints.
• Re-formatted existing mobile version of feature across amazon detail page to be in sync with desktop.
• Launched comparison portal to enable customers choose the suited instalment with 80% increase in operational sales.
• Drove successful instalment experience across different modules of detail page.
• Onboarding different global clients, across vastly different financial products, on our product.
• Working in both back-end and front-end systems to provide customers diverse instalment options across entire amazon flow chain like Search, Detail across nations.
• Architected eligibility, checkout library adapters and ranking engines to remove multiple bottlenecks and latency hops, improve SLA and establish four 9s availability. Added recommendation capabilities using a GenAI-powered service using AWS Bedrock (LLMs + vector embeddings) to sanitize and rank financial offers.
• Full stack experience with working on distributed systems with enormous scale and high availability
• Tech Stack: Java, Spring MVC, Typescript, Dynamodb, AWS tools: SQS, Kinesis streams, Kinesis stream & analystics, x-ray, cloudwatch, cognito , ECS, EC2, Fargate, Frontend internal frameworks

Jul 2020 – Mar 2021 · 8 mos · Bengaluru, Karnataka, India

• > Worked in a team of 6 to build the Hotels & Stocks module . Website loading time efficiency increased by 10%.
• >Worked in a team of 4 to build the Real Estate module from scratch. Involved in almost 60% functional requirements development . Further reduced loading time by 20% .
• Tech Stack: MySql, MongoDB, GitLab, React.js, Next.js, Node.js .

Sep 2019 – Jun 2020 · 9 mos

• > Part of Analytics Web Application Team for a major platform global MNC client . Involved in three modules across APAC and EPAM regions.
• > Part of core member teams of 2 Internal Infosys Projects. Work on different modules included
• authentication ,product customization and ordering .
• Tech Stack: Firebase, MongoDB, Git, React.js, redux, advanced template engines.
• Team received special appreciation from SPM.

Jul 2017 – Sep 2019 · 2 yrs 2 mos

• >Based on bank model and comprised of several modules ranging from rating the
• customer critical level to generating final reports regarding the customer including his
• loans, mortages etc.
• >Received appreciation mail from the client for timely delivery of the module and lowest bug discovery.
• Tech Stack: Java, Oracle SQL, Git, Maven, Spring, Struts

Feb 2017 – May 2017 · 3 mos · India

• Training completed with hands on experience in Angular.js , MongoDB, Java with final evaluation rating of A [A+ to D range]