Full-stack software engineer at BrowserStack. I work across the stack — from React product surfaces to Kafka + Redis pipelines that detect bursts in real time and keep P95 latency under a second.
I'm a full-stack engineer who's happiest where product meets infrastructure. At BrowserStack I ship customer-facing flows and the analytical backends behind them — an inline editing flow that cut friction on bulk operations, and a reports module whose multi-join queries hold P95 under a second.
Outside work I build distributed systems for the fun of it — most recently AetherInsight, a Kafka pipeline that spots error bursts with an atomic Redis sliding window and asks an LLM for a root cause. Competitive programming keeps the fundamentals sharp: Codeforces Specialist, 4★ on CodeChef, 500+ on LeetCode.
Languages and systems I reach for, grouped by where they live in the stack.
Two roles, one throughline: measurable impact on things people use every day.
Designed a one-click inline editing experience that lets users edit records right where they sit — turning multi-step bulk edits into a single action and taking the friction out of large operations.
Shipped an admin storage-management surface that gives teams a clear view to reclaim space and purge stale data, feeding straight into storage savings and recovered revenue.
Drove the service-wide Ruby 2.7 → 3.1 upgrade, modernizing core gems and closing off a meaningful slice of the security surface along the way.
Built the read-heavy Reports module from the query layer up — hand-tuning multi-join analytics so results land in under a second, with 5,400+ clicks in the first week alone.
Centralized global state with Redux-Saga, pulling scattered async logic into one predictable flow and stripping out a quarter of the redundant code.
Stood up the AWS backbone — Lambda, CodePipeline, IAM and API Gateway — and streamlined the deploy path, bringing production costs down by a quarter.
A distributed log analyzer, two commerce builds, and a few systems written to learn something new.
A real-time distributed log analyzer. A 3-service Kafka backend ingests error logs and detects bursts (50 events / 10s) with an atomic Redis sliding-window counter, then produces LLM root-cause diagnoses in PostgreSQL within 4–8s. A 3-link idempotency chain plus adapter-level retry-with-backoff cut redundant LLM calls by up to 98% under storms.
A scalable commerce backend in Java Spring Boot. Spring Security + JWT auth cut unauthorized access attempts by 95%; carefully authored JPA relationships and tuned PostgreSQL queries delivered 40% faster execution.
A modern storefront built with Next.js + TypeScript. Browsable catalog of branded apparel with product detail pages, a shopping cart, sign-in, star ratings and out-of-stock states — served fast through Next.js image optimization and responsive loading.
A high-efficiency text editor that compresses files on save using Huffman encoding + bit-packing. Achieves a 50% compression rate on average, up to 80% in the best case.
An interactive movie discovery site built in React on top of The Movie DB API. Lazy loading lifted load speeds by 35%; deployed on Netlify for seamless access.
Where the algorithms practice shows up on the scoreboard.
Open to full-stack and distributed-systems roles, and always happy to talk shop about Kafka, Redis, or a well-tuned query plan.