Jun 2024 – Present · 2 yrs

• Leading an exceptionally talented engineering team to elevate customer shopping experience and bring the magic of quick commerce to India!

Oct 2021 – Jun 2024 · 2 yrs 8 mos

• Solving search, discovery, and recommendation problems for the Blinkit platform in the following areas - architecture, infra reliability, and business.
• Responsibilities and Achievements:
• Lead the performance tuning & load testing of AWS Opensearch cluster to reduce operational costs.
• Achieved better cluster configuration as per business requirements.
• Reduced search latency by 50% for reading product catalog from Elasticsearch.
• Technical interviewer for the consumer engineering team to interview candidates for backend profiles.
• Vernacular support in search for local regional language from different parts of India.
• Achieved +15% ATC conversion at search keyword level with vernacular support.
• Dec 2021: The Blinkit was acquired by Zomato. However, I'm still working in the Blinkit.
• Apart from working on product, my interests are also focused towards reliability, saving costs by improving performance of search and discovery systems, and maintaining service reliability over 99.99%.
• Harvest and apply best practices of open source across the entire stack of Blinkit Search.
• Ensuring our systems are always up and running, not lose any orders via search.
• Providing guidance, planning, and hands-on support to my team in designing systems.
• Developed a new service in Go responsible for automated intelligent product tagging for driving search.
• Developed a data streaming pattern-based service in Go to consume Kafka events.
• Showcasing Blinkit tech in internal tech sessions.

Feb 2021 – Sep 2021 · 7 mos

• I was internally moved back to the core team of Blinkit which was renamed to "Search". The focus of the search team was to improve search and discovery on the Blinkit app by implementing data-driven solutions. I worked as a Backend Engineer in the following domains - search infrastructure, architecture, and improving business driven by search.
• Responsibilities and Achievements:
• Involved in multiple experiments & POCs like hyperlocal grocery experience, in-app donation, etc.
• Implemented new search & discovery service from a 6 years old monolith legacy service.
• Developed data driven search suggestions purely on product sales, conversion & other metrics.
• Involved in multiple platform POCs for making search infrastructure fast, optimized & better.
• Built a near real-time indexing pipeline for new product launches across PAN India.
• Achieved better management & visibility in launching new products for flash sales, hourly sales, etc.
• Tech: Python, FastAPI, Go, Kibana, AWS Elasticsearch, AWS SQS, Grafana Loki.

Sep 2020 – Jan 2021 · 4 mos

• I was internally moved to the Ads & Monetization team which was a new team at that time to help them build their tech platform. We focused on maintaining and improving the in-house bidding and ads systems to drive sponsored assets on the Blinkit app like sponsored brands, ad banners, etc, and our success metric was to bring revenue to the company.
• Responsibilities and Achievements:
• Setting up new services and collaborating with stakeholders to plan and target deliverables.
• Worked on bifurcating workflows in the Ads system responsible for running the in-house bidding platform.
• Worked on integrating sponsored products and ad banners on the search to show Ads to users.
• Improved the Return on Ad Spends (ROAS) metric with product and data analysts.
• Achieved $20 M/month monthly revenue which bolstered the EBIDTA of the company.
• Achieved 1% of company revenue whilst delivering industry-standard ROAS for partner brands.
• Mentored two junior programmers and worked as the scrum master to drive bi-weekly sprint planning.
• Built reports feature to provide performance reports of each campaign cycle to partner brands.
• Involved in POC of automating manual tasks for auction cycle using the Drupal framework.
• Built a dashboard as an automation solution for the content team to manage auctions & campaigns.
• Tech: Python3, Flask, AWS-S3, AWS Elasticache, Kubernetes, Postgres, React, Javascript.

Jan 2020 – Aug 2020 · 7 mos

• Worked as Backend Engineer in the Merchandising Team which focused on improving the consumer experience, product discovery, and recommendations. This was one of the core teams of Blinkit.
• Responsibilities and Achievements:
• Lead the project of Elasticsearch (ES) migration from version 2.4 to 7.5.
• Designed and carefully planned the roadmap of ES migration with refactoring efforts.
• Setup of infrastructure for migration across consumer microservices to avoid downtime in production.
• Migrated the search infrastructure from Ansible to Kubernetes.
• Worked on the major refactoring activity across core consumer services dependent on ES.
• Worked on refactoring query clauses & inline scripts to address breaking changes.
• Successfully migrated from self-managed ES to AWS-managed ES solution.
• Tech: Elasticsearch, Go, Python, Flask, Jenkins, Kubernetes, Docker, AWS EC2.