Summary
Driving web performance, design systems, and AI-driven frontend innovation.
I build scalable frontend systems with extensive experience in Next.js, React, and Web Performance Optimization (Core Web Vitals). Currently exploring the intersection of Full Stack Engineering and Generative AI to enhance developer productivity and user experiences.
Location: Delhi, India
Experience
Tech Lead
Leading the frontend team for Recruiter and Jobseeker products. Architected a centralized Design System using Storybook and Lerna. Improved Core Web Vitals to 'Good' range, optimizing LCP and CLS. Driving AI initiatives for developer productivity (30% efficiency boost) and building Agentic AI POCs.
Lead Engineer
Focused on web performance monitoring and optimization. Implemented event batching with IndexedDB reducing network calls by 40%.
Senior Software Engineer
Led frontend development for public insurance website (health, travel, motor). Delivered scalable policy purchase flows and optimized large-scale traffic handling.
Software Engineer
Developed ad-tech and educational web applications focusing on performance and UX.
Software Engineer
Developed enterprise applications and integrated frontend modules with backend APIs.
Featured Projects
Centralized Design System
A scalable design system with CSS tokens, Tailwind integration, and component library architecture.
Architected and scaled a centralized design system to standardize UI components across multiple products. Implemented a token-based theming system using CSS variables mapped to Tailwind utilities, created a comprehensive typography scale, and built reusable component packages. The system uses Storybook for documentation and Lerna for monorepo management, accelerating product development cycles and ensuring UI consistency.
Web Vitals Monitoring Dashboard
Comprehensive Web Vitals tracking system with attribution data, backend logging, and analytics dashboards.
Built a production-ready Web Vitals monitoring system using the web-vitals library with attribution support. Implemented tracking for all Core Web Vitals (LCP, CLS, INP, FCP, TTFB) with detailed attribution data, intelligent SPA navigation handling, and backend logging. Collaborated with the data analysis team to create visualizations and alerting systems that enabled data-driven performance optimizations.
LLM Chatbot with Multi-Agent System
Multi-agent chatbot system enabling recruiters to query accounts and job postings through intelligent routing and specialized agent collaboration for accurate, context-aware responses.
Built a production-ready LLM chatbot using Mastra Framework and AI SDK for recruiters to query about their accounts and job postings. Implemented a sophisticated multi-agent system where the root agent intelligently routes queries: handling simple conversations directly, while delegating complex account and job-related queries to a specialized sub-agent. The sub-agent collaborates with real-time data sources to fetch information about job postings, account verification status, and user profiles, then formats comprehensive responses. This architecture ensures accurate, context-aware responses while maintaining seamless conversation continuity across agents through shared memory storage, streaming responses for real-time feedback, and human-in-the-loop interactions for enhanced user experience.
Agentic AI Telephony Solution
Production telephony solution using Deepgram, ElevenLabs, OpenAI GPT Realtime, and Plivo with intelligent interruption detection.
Built a production-ready telephony solution integrating Deepgram for real-time speech-to-text, ElevenLabs for natural text-to-speech, OpenAI GPT Realtime API for conversational AI, and Plivo for telephony infrastructure. Implemented intelligent interruption detection that filters acknowledgment words and uses intent severity levels to enable natural conversation flow with minimal latency.
AI-Driven Developer Efficiency
Leveraged Cursor Rules and MCP integrations with Jira and Figma to automate design-to-code workflows, task management, and PRD gap analysis.
Developed an AI-driven workflow system using Cursor Rules and MCP (Model Context Protocol) integrations to significantly improve developer efficiency. Collaborated with designers to establish design token guidelines in Figma, which were then codified into Cursor Rules for automated Figma-to-code conversion achieving 80% design match accuracy. Integrated Jira MCP for automated task and subtask creation, and Figma MCP for design component generation. Created comprehensive tech documentation for features to enable LLM understanding of business use cases, and implemented PRD parsing via code to identify gaps proactively before development begins.
Talent Acquisition Platform (Blue Collar)
Full-stack recruitment platform featuring job posting management, candidate pipeline management, and streamlined hiring workflows.
Built a comprehensive talent acquisition platform serving recruiters and job seekers. The platform enables hiring managers to post jobs, manage candidate pipelines, verify documents, handle responses through an intelligent response manager, and track recruitment analytics. For job seekers, the platform provides job search capabilities with contextual filters, profile building tools, application tracking, and multi-language support. Built with scalable architecture handling high traffic volumes, reusable component library for design consistency, and optimized performance. The platform supports end-to-end recruitment workflows from job posting to candidate onboarding.
Agentic Copilot
Intelligent copilot assistant using Mastra Framework and AI SDK to guide users through complex workflows like job posting, profile completion, and content enhancement.
Built an agentic copilot system using Mastra Framework and AI SDK that transforms a chatbot into a powerful assistant capable of guiding users through complex workflows. The copilot assists with tasks such as posting jobs, filling profiles, and enhancing job postings by leveraging Mastra's human-in-the-loop tool execution and workflow capabilities. Users interact naturally through conversation, and the copilot breaks down complex processes into manageable steps, requesting input when needed and executing actions through tools. This approach makes sophisticated workflows accessible through simple conversational interactions, significantly improving user experience and task completion rates.
Fancy Dress Costume E-commerce Platform
Full-stack e-commerce platform for fancy dress costumes with product management, shopping cart, order processing, and admin dashboard.
Built a complete e-commerce platform for fancy dress costumes using Next.js and Supabase. The platform features product browsing with search and category filtering, product detail pages with variant selection (size, color), shopping cart functionality, and order submission. Implemented a comprehensive admin dashboard for product management with CRUD operations, category management, image upload to Supabase Storage, product variants with SKU management, and order management with status updates. Built role-based access control for admin features, SEO-friendly pages with sitemap generation, and responsive design for optimal user experience across devices.
Technical Skills
References available upon request.