Engineering calm in the chaos.
I’m Nirav. I design distributed systems and data pipelines that make complex flows feel effortless — from monolith modernizations to AI-driven ops automation.
What I Do
Systems
Modernized legacy systems into event-driven microservices for higher reliability and 10× traffic handling.
Data & Pipelines
Built robust ETL pipelines processing over 100M+ transactions daily with fault tolerance and monitoring.
Dev Productivity
Created AI-powered Slack/Jira automation to streamline developer workflows and reduce support tickets.
Mentoring
Led and mentored teams, fostering a culture of ownership, clean code, and observable systems.
Career Timeline
Wayfair
Modernized a legacy monolith into scalable, event-driven microservices, enhancing performance and reliability. Resolved critical bugs, achieving a 50% reduction in order holds and 100% elimination of allocation failures. Optimized database schemas to handle 10x traffic and developed an AI-driven Slack & JIRA automation to reduce support resolution time.
Swiggy
Designed and developed core post-order services for Instamart, Genie, and Stores, ensuring scalability and low latency. Owned a key serviceability microservice, leading migrations and integrating data science models. Implemented distributed tracing using AWS OpenTelemetry for improved debugging and observability.
EPAM Systems
Migrated a desktop application for tax, accounting, and statutory reporting to a microservices-based web app using Spring Boot and Postgres. Optimized a template comparison API, resulting in up to 70% less response time. Developed a custom reusable API using the Factory design pattern, achieving an 88.5% reduction in resolution time for critical data issues.
Tata Consultancy Services
Developed a CRM application for a Fortune 50 company using Spring Boot and Postgres. Implemented an audit logs solution to track historical changes to entities and partially migrated a legacy web app from IBM AS400 i-series to Java Struts.
Projects Gallery
My Watchlist
Angular + Spring Boot app for tracking movies and shows.
#Frontend #BackendPlant Recognition
A TensorFlow model to identify plant species from images.
#MLLibrary Management
A classic Java-based system for managing library records.
#BackendDeep Dive: Monolith to Microservices
At Wayfair, I played a key role in modernizing a critical legacy monolith into a scalable, event-driven microservices architecture. This initiative enhanced performance and reliability, resolving critical bugs to achieve a 50% reduction in order holds and completely eliminating allocation failures. I also optimized the high-level design and database schemas, removing bottlenecks to handle 10x traffic, ensuring the system could scale with growing demand.
