Jan 2023 – Jul 2025 · 2 yrs 6 mos · Bengaluru, Karnataka, India · On-site

• Fulfillment Lifecycle Management System (Founding Member):
• ❖ Led a $14B Fulfillment Lifecycle Management System (FMS) using Event Store DB to orchestrate order fulfillment for
• over 1 million orders annually.
• ❖ Implemented recipe-based rule engines with domain-driven design (DDD) principles to automate complex fulfillment
• workflows and reduce delays by 30%.
• ❖ Built a scalable platform with stateful event tracking, managing real-time exceptions and coordinating across 50+
• supply chain nodes.
• ❖ Utilized Kafka, asynchronous processes, and microservices architecture to decouple systems, enabling 10x faster
• feature rollouts.
• ❖ Integrated industry-standard protocols (ASN, WSO) to enhance cross-domain interactions, improving operational efficiency
• and cutting delivery errors by 15%.
• ● Greenfield Supply chain (Founding Member):
• ❖ Established a robust supply chain system, serving as the single source of truth for all operations within Wayfair.
• ❖ Engineered a 5-layer architecture optimizing data flow, reducing costs over a scale of 1 billion messages/day.
• ➢ Router Layer: Streamlined message routing for Wayfair's global teams.
• ➢ Normalization Layer: Implemented data normalization, enriching messages for improved insights.
• ➢ Transformation Layer: Facilitated seamless message conversion between different specifications.
• ➢ Facade Layer (Elasticsearch-powered): Enabled domain-specific queries, optimizing data retrieval.
• ➢ HATEOAS API and Specification Design: Customizable queries empowering diverse domains.
• ❖ Worked with Google cloud, Elasticsearch and MongoDb team did intensive performance testing to finalize the best
• suitable database based on the queries like long range based queries, 70:30 read and write, etc.
• ● Technologies: Java, Spring, Kafka, GCP, Pub Sub, GCS, Elasticsearch, Kubernetes, datadog, EventStore DB, Python, Golang.

Jul 2021 – Jan 2023 · 1 yr 6 mos · Bangalore Urban, Karnataka, India

• Item Instock/Out Of Stock:
• In Swiggy there are 36 million items available and to mark it Instock and Out Of Stock(IOOS) we use holiday slots which are 395 million and time slots around 16 million.
• Currently at peak hours the latency is around 10-20 minutes to mark item IOOS due to hop b/w updates at catalog DB and availability persistent layer.
• Migrated in three phases with the help of a back bridge to support current reads and writes. Made availability service as a source of truth for all IOOS and availability related processes. The latency drops down to 14 seconds at peak hours.
• GST compliance for SWIGGY:
• After January 2022 govt has imposed regulations to collect GST for all vendors from SWIGGY. Initially Swiggy doesn’t have any service to handle taxation.
• It was a fast paced project divided in three phases to define the GST liability on swiggy and vendor and onboard all the partners which is around 3.5 million to the new taxation service.
• Created a new Taxation service and populated 36 million GST liabilities and the taxes imposed as the contract using parallel processing scripts and made the whole flow backward compatible as well.
• Variant V1/V2:
• In each item there can be multiple variants and n^n combinations leads to 20-30 MB of payload and to an outage and hampers user experience with a bulky menu and also initially one menu push tooks around 2-5 minutes.
• This is a self initiative to remove this combination and create a variant V2 with no such restrictions and helps us to get a lighter menu of around 300 KB and latency of 10-20 ms. Got an MVP award for the same.
• Miscellaneous:
• Migrated menu push queue from kafka to AWS SQS and S3 which leads to cost saving from 2 Million/month to 350k/month.
• Implemented bifurcation of egg and non-veg for cloud menu pushes that helps in better user experience.
• Technologies: Java, Spring, Reactjs, GO, DynamoDB, MYSQL, Elasticsearch, Kafka, Junit, Mockito, SQS, S3, Kibana, Grafana, Prometheus, Jenkins, docker, redis, AWS.

Aug 2020 – Jan 2022 · 1 yr 5 mos · Hyderabad, Telangana, India

• > LocalBuzz
• > Techstack -> React.js, Node.js, Postgresql, Heroku.

Aug 2020 – Jul 2021 · 11 mos · Bangalore Urban, Karnataka, India

• > XRaySetu
• > XraySetu allows doctors in rural areas to plan early intervention for their patients by simply taking a picture of their Xray and sending it over via Whatsapp.
• > Tech Stack: AWS, Flask, Kalerya, Redis, CRM (OSTicket), PostgreSQL.
• > Eye Streaming for Asha Robot
• > All the feeds from Asha Robot to a VR headset using RTMP server and Unity.
• > Tech Stack: Unity, Python C#, StreamVR, HTC Vive, Asha Robot, RTMP server.
• > Datasetu Video Server
• > Worked on RTMP protocol and HLS based real-time video server.
• > Tech Stack: Flask, Nginx, Bash, HTML.
• > Features: Recording, Live streaming with low latency, Able to stream over any dashboard.
• > Use case: stream video and audio from robots like Asha Robot, Remote cars like Transvahan, etc.
• > Vermillion
• > Worked on Vermillion, a resource server with a customized authorization that can store, publish, and download any file format and time-series data.
• > Tech Stack: Vertx, Java, Python, Docker, RabbitMQ, Ansible, and Bash.
• > Video Server
• > Worked on RTSP protocol-based real-time video streaming server.
• > Tech Stack: Node.js

Aug 2020 – Oct 2020 · 2 mos · Bangalore Urban, Karnataka, India

• > Worked on Indeed Feedback Management System.
• > Tech Stack: Android, Django, Vagrant.

Aug 2020 – Oct 2020 · 2 mos · Bangalore Urban, Karnataka, India

• >Worked on developing a platform for BBMP (the municipal corporation of Bangalore) to curate a list of high-risk suspects of COVID-19 for targeted testing.
• >The platform ingested data from various sources such as Aarogya Setu, Karnataka Private Medical Establishments and Quarantine data from the Govt. of Karnataka.
• >This platform analysed suspects from these sources and assigned a priority indicating the importance with which the specific case needed to be handled.
• > Tech Stack: Android, Django, Postgresql, RabbitMq, Docker.
• https://github.com/datasetu/api.covid.datasetu.org
• (If you get a 404, then this repo has not been made public yet)

Feb 2020 – Oct 2020 · 8 mos · Bangalore Urban, Karnataka, India

• > Formulated designing and developing Software for PII and audit protection for AWS Redshift (named RedMask) which is able to mask data both statically and dynamically.
• > Tech Stack: React.js, AWS RedShift, AWS S3, AWS API-Gateway, AWS Lambda, Flask.

Jun 2019 – Jul 2019 · 1 mo · Noida, Uttar Pradesh, India

• Developed an e-commerce website with an auto-recommendation system.
• Tools and Technology: Node.js, MongoDB, Angular, Postman API.

Jun 2018 – Jul 2018 · 1 mo · Noida, Uttar Pradesh, India

• Design and Develop a Fashion Blog that has all the details of the latest trends and the best price and place to buy them.
• Tools and Technology: MongoDB, Angular,Node.js, Express.js.