Headline

Senior Software Engineer | AI Agents & Distributed Systems | Building Large-Scale Notification Platform @ Intuit | MSRIT CSE Gold Medalist

About

I build the backend systems that keep enterprise-scale platforms running reliably for millions of users, every day, without anyone noticing. Right now that's Intuit, where I'm a Senior Software Engineer on the One Intuit Notification Platform (OINP) — the system behind 3B+ notifications sent annually across 200+ Intuit teams. A few things I'm proudest of: - Architected core services for the OINP Authoring Revamp, decoupling a legacy monolith with a shared database into independent microservices with CDC-based sync and multi-region high availability. - Contributed to a backend architecture revamp that modernized a legacy monolith into a domain-driven microservices platform, cutting end-to-end processing time by 81% and scaling the platform to 20,000 TPS. - Redesigned our production-promotion process into a one-click promote-and-rollback flow, cutting promotion time by 95% and reclaiming 20+ hours a week for the team. - Built a self-updating knowledge graph of 100+ microservices, kept accurate by an autonomous agent that updates it on every code merge — replacing tribal knowledge with instant, code-grounded blast-radius analysis for engineers and AI agents alike. Before Intuit, I was a Performance and Scale Engineering Intern at Red Hat, building chaos-engineering and cluster-health tools for Kubernetes/OpenShift. I graduated as Gold Medalist in Computer Science and Engineering from Ramaiah Institute of Technology, and published research at IEEE Bombay Section on ML for epileptic seizure prediction. Always happy to talk distributed systems, notification infrastructure, and platform architecture at scale.

Location

Bengaluru

AI stack

claude code

claude

cursor

mcp

n8n

openai

Work experience

Senior Software Engineer at Intuit, Aug 2024 - Present · 2 yrs 1 mo, - Architected core services for the OINP Authoring Revamp, decoupling a legacy monolith with a shared database into independent microservices with CDC-based sync and multi-region high availability, for a platform delivering 3B+ notifications annually across 200+ Intuit teams. - Contributed to the OINP backend architecture revamp, modernizing a legacy monolith into a domain-driven microservices platform, achieving an 81% reduction in end-to-end notification processing time, 3x increase in max TPS (20,000 TPS), 2x release velocity, and 41% fewer production incidents. - Architected a self-updating knowledge graph mapping 100+ interdependent microservices across Intuit's notification platform — every service's dependencies, datastores, failure modes, and runbooks, grounded in code, not stale wikis. Built an autonomous agent pipeline that updates the graph on every code merge, turning architecture docs into a byproduct of engineering work and giving engineers and AI agents instant blast-radius analysis instead of cross-repo archaeology. - Redesigned the OINP production-promotion process into a one-click promote-and-rollback experience, cutting promotion time by 95%, eliminating manual errors, and reclaiming 20+ hours of effort per week for the team.

Software Engineer 2 at Intuit, Feb 2022 - Jul 2024 · 2 yrs 6 mos, - Owned end-to-end design and delivery of Intuit's STRA risk-assessment integration, partnering directly with the Trust & Safety team on solutioning, UX, and production rollout to replace opt-in screening with mandatory, zero-consent risk screening on a versioned, fully-relational question catalog. - Developed a vendor-extensible silent push notification system surfacing unread Tray notification counts to TTM users, delivering 10.4M silent pushes to 5.5M customers during the Super Bowl with seamless third-party vendor integration. - Conducted extensive load and FMEA testing to ensure seasonal readiness of OINP services ahead of tax season, safeguarding a platform responsible for delivering 3B+ notifications annually. - Built a distributed scheduler library for Intuit, abstracting trigger creation, initiation, and data dispatch, and integrating multiple dispatch solutions for seamless use in event-driven architecture. (DocumentDB, OMS, EventBus)

Software Engineer 1 at Intuit, Sep 2020 - Jan 2022 · 1 yr 5 mos, - Built and owned the Social Proof Service end to end, integrating with vendors like BazaarVoice to serve reviews, ratings, and social proof content across TTCom products. Designed the PostgreSQL schema and indexing strategy for fast data retrieval, built a dynamic query builder on PostgreSQL JPA to support on-the-fly queries, and exposed GraphQL endpoints enabling client teams to onboard and consume the data. - Improved TurboTax's search-engine ranking by adding structured data to AMP and non-AMP articles and relevant HTML tags, making pages more discoverable and indexable by search bots. - Built a generic Dynamic Sitemap Renderer that programmatically generates HTML/XML sitemaps and pushes them to AWS S3, enabling scalable sitemap generation across sites. - Drove initiatives in the Social Proof and Personalized Marketing space to accelerate first-time product adoption among new customers.

Performance and Scale Engineering Intern at Red Hat, Mar 2020 - Aug 2020 · 6 mos, - Built Cerberus, a Kubernetes/OpenShift cluster health monitoring tool with REST APIs and dashboards for real-time visibility, improving performance by 60% through reduced API calls, multiprocessing, and targeted code refactoring. - Built Kraken, a chaos engineering tool that deliberately injects failures into Kubernetes/OpenShift clusters to validate their reliability and resilience. - Developed reusable Python packages and integrated Slack alerting via the slackclient API, giving the team real-time visibility into cluster health. - Enforced CI/CD across the tool suite using Ansible, Jenkins, and Travis CI, and wrote functional tests in Shell script to safeguard releases.

AI Intern at Competences Factory, Jun 2019 - Oct 2019 · 5 mos, - Designed and created Natural Language Processing course content, adopted by the organization for its NLP certification program. - Built a Fake News Classifier using data scraped via Beautiful Soup and the Pushshift API, achieving 89% classification accuracy. - Built an automatic text generator using bidirectional LSTM models to generate Shakespearean sonnets, applying deep learning to creative text generation.

Education

Bachelor of Engineering, Computer Science, Ramaiah Institute Of Technology

Pre university, Vidya Mandir Pre-University College