Integrated large language models (LLMs) and retrieval-augmented generation (RAG) pipelines to create an intelligent, conversational chatbot, enhancing user engagement with real-time NLP and personalized response generation.

Architected and developed a scalable Learning Management System (LMS), leveraging event-driven design patterns and RESTful APIs to deliver enhanced learning experiences across various user groups.

Designed and implemented a catalog service for efficient storage and retrieval of training metadata, leveraging NoSQL databases and optimized indexing strategies to improve data accessibility and operational efficiency.

Demonstrated expertise in designing, deploying, and optimizing high-throughput, distributed systems in dynamic, fast-paced environments, with a focus on scalability, security, and cost-efficiency.

Designed and implemented advertisement supply integration across various platforms, ensuring the availability of products based on customer location and optimizing user experience in high-frequency purchase categories.

Spearheaded regionalization initiatives for advertisement services, building geo-distributed systems to support marketplace-specific targeting and applying load balancing and sharding techniques to scale to billions of requests per day.

Contributed to a significant portion of advertisement revenue, generating substantial annual income through innovative advertising strategies and enhancements in cart-building functionalities for grocery services.

During my time at Amazon, I have leveraged a variety of AWS tools and technologies, including SQS, SNS, AWS Lambda, API Gateway, DynamoDB, Redshift, AWS Step Functions, and AWS Fargate. This experience has allowed me to sharpen and apply my knowledge across multiple projects. Additionally, I have worked with programming languages such as Java, Ruby, Python, and TypeScript, utilizing my expertise to create and maintain distributed jobs for long-running background processes.

Collaborated with cross-functional product and engineering teams to design and implement the Hindi language interface on the Amazon India retail website, optimizing localization and internationalization efforts to enhance user engagement.

Enhanced the Amazon India Shopping App by leveraging user experience (UX) best practices and A/B testing methodologies to improve customer shopping journeys and increase conversion rates.

Designed and developed a multilingual comparison tool, utilizing advanced algorithms and data structures to facilitate seamless product comparisons across diverse languages and regions.

Created a canary service for image comparison, implementing a phased deployment strategy to ensure reliability and performance of image assets while minimizing risk and enhancing visual consistency across platforms.

Ola Mobile Web: Designed and developed back-end services for the mobile website and Ola lite app.

Ola Developer Platform: We built more than 10 micro-services from the scratch which consists of Developer API, Web-Auth-Service (SSO), map-service, Ola Point, Conversational-Booking service, Developer-Webhooks, Developer Self-serve, Partner service etc.

Worked with PPM team. Boomerang’s PPM solution brings data from disparate sources together, identifies opportunities and problems, and recommends pricing strategies that help merchandisers increase revenue without eroding margin.

Utilized expertise in data crawling and scraping to gather and analyze large datasets, leveraging ETL (Extract, Transform, Load) processes to ensure data integrity and facilitate actionable insights for improved decision-making.