Headline

SDE @ BlinqIO | CSE’24 IIT Bhubaneswar | Scaling distributed agentic systems | TypeScript, Kubernetes, AWS

About

Graduated from IIT Bhubaneswar with a B.Tech in Computer Science Engineering, equipped with a strong foundation in distributed systems, artificial intelligence, and Node.js. Currently a Software Engineer at BlinqIO's R&D team, contributing to the development of an AI-powered test automation platform. Work includes designing scalable architectures and delivering solutions across the full stack, such as the core AI engine for automated browser testing. Motivated by creating innovative technologies that enhance developer workflows and platform stability.

Location

Bengaluru

AI stack

codex

opencode

claudecode

Work experience

Software Engineer, R&D Team at BlinqIO, Oct 2024 - Present · 1 yr 11 mos, Bengaluru, Karnataka, India, As a core engineer at BlinqIO, I help build an AI-powered platform that generates and maintains end-to-end tests with minimal human effort. I work across the full stack — designing scalable, resilient architectures and shipping features end to end (UI, backend, and deployment) while driving performance, stability, and developer experience. Over my time here I've grown from building our Electron-based test platform to architecting the core AI engine behind its next generation • 𝐀𝐈 𝐓𝐞𝐬𝐭-𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐄𝐧𝐠𝐢𝐧𝐞: Architected the core LLM engine — a closed-loop agent (planner → executor) that turns plain-English intent into reliable browser tests, with observation-grounded verification that derives assertions from real page state to eliminate hallucinated, flaky checks. • 𝐒𝐞𝐜𝐮𝐫𝐞 𝐄𝐱𝐞𝐜𝐮𝐭𝐢𝐨𝐧: Designed sandboxed execution of untrusted user test code using OS-level process isolation (V8 isolates, Electron utilityProcess) and capability-scoped Playwright/PostgreSQL bridges — letting users run custom scripts safely without compromising the host. • 𝐀𝐈 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 & 𝐄𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧: Built the platform's evaluation-driven development suites — multimodal vision-language model judges for visual regressions plus property-based testing — to gate model and prompt changes in CI. • 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 & 𝐃𝐞𝐯𝐄𝐱: Founded the 20+ package monorepo (Turborepo + pnpm) from scratch and a local Kubernetes dev stack (k3d + Tilt), and operate the platform on AWS EKS (Helm, ArgoCD, GitOps). • 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞: Cut application launch time by 90% (1.5 min → 10s) by optimizing dependency setup, strategically allocating thread pools, and implementing lazy loading. • 𝐅𝐞𝐚𝐭𝐮𝐫𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Built an event-based, interactive test runner — letting users run, pause, and resume tests from the UI — cutting test-writing time by 50%.

Software Engineer Intern at Publicis Sapient, May 2023 - Jun 2023 · 2 mos, Bengaluru, Karnataka, India, Project contributed to building a Customer Data Platform purely on the cloud. Worked on data cleaning and transformation, ETL pipeline development, Business Intelligence etc on AWS and Microsoft Azure. Worked extensively with Python and SQL on Apache Spark Clusters to analyze the Customer Data and prepare insightful dashboards. Received a Pre-Placement Offer due to successful completion of the project.

Education

Bachelor of Technology - BTech, Computer Science Engineering, Indian Institute of Technology, Bhubaneswar