Headline

Senior Frontend Engineer | Building AI-powered SaaS for millions of users | React · TypeScript · LLM integrations | Open SDE-II roles

About

I build AI-powered web applications that put LLMs to work inside real products — not demos. At UKG, I engineered an AI voice-to-action system that uses LLM-based intent parsing and NLP validation to convert speech into structured in-app commands for clinical teams. The result: 80% reduction in manual data entry, hands-free scheduling workflows across Fortune-500 hospital systems. That's what frontend architecture looks like when you own the full loop — from React component to LLM pipeline to production rollout. My stack: React, TypeScript, Angular, Redux/Redux Toolkit, Next.js, Node.js, REST APIs, MongoDB. On the AI side: LLM integration, agentic workflows, prompt engineering, speech-to-action pipelines. I've authored E2E test frameworks from scratch (Selenium + TypeScript), led an Angular → React migration that cut feature dev time by 25%, and rebuilt a high-traffic shipment module that serves 10,000+ enterprise clients including Amazon and Flipkart. I don't just implement features — I've set component architecture standards adopted team-wide, driven zero-downtime deployments, and built systems that scale across hospital staff management workflows. Outside work, I ship: Job Radar is a live AI job digest platform (React 18 + Node.js + Claude API) I built from scratch. I've also built automated LLM debugging and test-generation pipelines that cut debug time by 50%+. IEEE-published researcher. B.Tech in AI/ML, Galgotias University. 300+ DSA problems solved. Currently exploring Senior SDE / SDE-II roles at product companies building AI-native platforms. Open to Delhi NCR, Bangalore, Hyderabad, Pune, or Remote. 📩 devsc1304@gmail.com

Location

Delhi

AI stack

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Work experience

Software Development Engineer II at UKG, Apr 2025 - Present · 1 yr 5 mos, Noida, Uttar Pradesh, India, - Engineered end-to-end features for EZCall, a healthcare workforce SaaS (React + Ruby on Rails + Redux), owning on-call scheduling, clinical rotation management, and integrations with Kronos, Vocera, and SPOK for Fortune-500 hospital systems. - Architected an AI-powered voice-to-action system using LLM intent parsing + NLP validation, converting speech into structured in-app commands — reducing manual data entry effort by 80% and enabling hands-free clinical workflow automation. - Built a bulk scheduling engine, time-tracking system, and request-priority workflow from scratch; leveraged LaunchDarkly for progressive rollouts, driving 40% improvement in operational efficiency across hospital staff management. - Optimized Ruby on Rails API performance via eager loading, N+1 query elimination, and index tuning — cutting production incidents by 25% with zero-downtime deployments. - Authored a Selenium + TypeScript E2E automation framework from scratch, boosting regression coverage by 40% and improving overall platform stability and UX quality by 30%.

Software Developer Engineer 1 at Ecom Express Limited, Jul 2022 - Apr 2025 · 2 yrs 10 mos, Gurugram, Haryana, India, - Developed and maintained a customer-facing logistics portal serving 10,000+ enterprise clients (Amazon, Flipkart) using React, Angular, and TypeScript — delivering performant, scalable frontend solutions for high-volume shipment workflows. - Spearheaded the full Angular→React migration: established component-based architecture standards adopted team-wide, reducing feature development effort by 25% and eliminating legacy framework debt. - Rebuilt the Track Shipment module with real-time status updates and a unified consolidated view, cutting navigation steps by 60% — the highest-traffic feature on the platform. - Launched customer and employee onboarding platforms (Angular 14 + TypeScript + Angular Material) enabling 400+ daily self-serve users, improving onboarding efficiency by 40% and reducing onboarding time by 30%. - Maintained high code quality via Jest unit testing, thorough code reviews, and CI/CD pipeline discipline — reducing bug escape rate by 25% across sprints.

Business Analyst Intern at The Sparks Foundation, Jul 2021 - Aug 2021 · 2 mos

Data analyst intern at The Data Monk, Jun 2021 - Jul 2021 · 2 mos, India, - Authored 15+ technical articles on ML algorithms (regression, classification, clustering) covering core concepts and real-world applications, consumed by aspiring data analysts preparing for interviews. - Contributed tutorial content on Python, SQL, and interview preparation topics.

Education

Bachelor of Technology - BTech, Artificial Intelligence, Galgotias university