May 2023 – Present · 3 yrs 1 mo · Raleigh-Durham-Chapel Hill Area

• Architected and led development of a modular, event-driven B2B SaaS platform using Java, Spring Boot, Kafka, and RabbitMQ.
• Designed and implemented secure, scalable integrations with external systems including NetSuite, QuickBooks, Stripe, and Shopify using REST APIs and webhooks.
• Owned platform scalability, reliability, security, observability, and CI/CD across production environments on AWS and GCP.
• Designed and deployed AI-driven automation systems leveraging LLMs, RAG pipelines, and rule-based reasoning.
• Led architectural decision-making, mentored engineers, and established long-term technical direction for the platform.
• Founding team member; company is bootstrapped and operating steadily.

Dec 2020 – Apr 2023 · 2 yrs 4 mos · San Francisco Bay Area · Remote

• Large-Scale Data & Platform Engineering
• Designed and implemented components of a large-scale data platform supporting high-volume processing and platform safety initiatives.
• Built scalable backend services in Java, applying parallel processing techniques to significantly reduce ETL execution times.
• Microservices & Real-Time Streaming
• Developed Spring Boot microservices and APIs encapsulating platform safety functionality.
• Implemented Kafka-based real-time data streaming, ensuring reliable and fault-tolerant communication between distributed services.
• Cloud-Native Systems on GCP
• Designed schemas and indexing strategies for Cloud Spanner, improving query performance for large datasets.
• Deployed microservices using Google Cloud Run, implemented caching with Redis, and integrated MongoDB Atlas.
• Built CI/CD pipelines using Tekton and Cloud Build and implemented observability using Stackdriver / GCP Operations.

Feb 2019 – Jun 2020 · 1 yr 4 mos · Singapore

• Led architecture and development of a large-scale e-commerce logistics automation platform, integrating data from hundreds of external systems.
• Built Java-based backend services and Spring Boot microservices focusing on scalability and maintainability.
• Managed containerized workloads using Amazon ECS and EKS, implemented AWS RDS, S3, Lambda, and ElastiCache.
• Established CI/CD pipelines with Jenkins, enabling faster and more reliable deployments.
• Implemented centralized monitoring and logging using the ELK Stack.

Mar 2010 – Jan 2019 · 8 yrs 10 mos · Greater Bengaluru Area

• Designed and built a large-scale video streaming platform using Java and Spring, optimized for low latency and high concurrency.
• Implemented AES encryption, DRM, and Spring Security for secure content delivery and access control.
• Integrated and optimized video compression algorithms (H.264, H.265) to reduce bandwidth consumption.
• Built microservices supporting automation and computer-vision-based processing pipelines.

Sep 2008 – Mar 2010 · 1 yr 6 mos · San Francisco Bay Area

• Researched the market and competition to develop a business plan for a lecture capture system at Stanford University.
• Interviewed users and customers to generate user stories, product designs, and specifications and led a team of developers to launch the MVP.
• Designed the world's first SaaS-based solution for viewing ultra-high-resolution videos with interactive features like pan/tilt/zoom (similar to Google Maps) on low-bandwidth networks.
• Bootstrapped the ClassX project which became a key part of Stanford University's lecture capture solution.
• Published several technical papers and reports jointly with other team members.

May 2007 – Jul 2007 · 2 mos · Bengaluru, Karnataka, India

• Led the product design and implementation of a US patent winning enterprise intelligence system at Microsoft.
• This system combined mobility information obtained from RFID-based sensing with information from enterprise systems such as calendar and presence to automatically draw inferences about the association and interaction amongst people, objects, and workspaces. For instance, SixthSense was able to automatically distinguish between people and objects, learn the identities of people, and infer the ownership of objects by people.

Jan 2007 – Jan 2008 · 1 yr · Greater Lucknow Area

• Led a project on Design and Implementation of a Peer-to-peer File Distribution System that reduced the traffic load on internet links by 65%.
• Designed and implemented a real-time multicast-based system (inspired by the BitTorrent protocol) which reduced the download time of internet files by 44% and reduced the traffic load on internet links by 65%.
• Led a team of two undergraduate students who worked with me in the implementation phase of the system for about a year.
• Won the Cadence Gold Medal award from IIT Kanpur based on the impact of this project.

May 2006 – Jul 2006 · 2 mos

• Developed a machine learning based technique for optimized simultaneous usage of multiple access networks (wired, cellular and Wi-Fi) for transmission of multimedia streams
• Built a system to show significant performance improvement over traditional approaches
• Used technologies including C++, Perl, Python, TCL, Network Simulator (NS-2)

Jan 2006 – Jan 2008 · 2 yrs

• I led the design and implementation of a Video-streaming Protocol for Heterogeneous Networks that reduced packet loss by 45% and won the ACM Multimedia award in Germany.
• Designed and implemented a video streaming protocol for wireless networks which reduced packet loss by 45% and improved received video quality by 2-10 decibels in PSNR.
• Presented this work at the ACM Multimedia conference in Germany and won the Best Student Paper Award.

May 2005 – Jul 2005 · 2 mos · Bengaluru, Karnataka, India

• Proposed and implemented a new unsupervised learning algorithm (based on clustering) to automatically extract structured information (like prices, reviews, specifications etc.) from unstructured HTML data (from shopping/e-commerce websites)
• Improved operational efficiency by 98% over the traditional approaches
• Used various technologies including C++, PHP, Perl, Machine Learning & Data Mining techniques