Staff Frontend Engineer | Frontend Architect | Full-Stack Developer | AI Engineer
React.js · Next.js · JavaScript · TypeScript · Tailwind CSS · Node.js · REST API · Python · FastAPI · GenAI · RAG · LLM
Frontend Architect and Tech Lead with 15+ years building scalable, high-performance web applications across media, banking, ecommerce, and enterprise platforms — now building end-to-end GenAI applications with LLM integration and RAG pipelines.
About
Frontend leadership with product focus
I build frontend systems that balance product speed, engineering quality, search visibility, and long-term maintainability.
Frontend Architect and Tech Lead with 15+ years building scalable, high-performance web applications across media, banking, ecommerce, and enterprise platforms.
Builds end-to-end GenAI applications — LLM integration, RAG pipelines, streaming responses, and local inference with Ollama.
Led large-scale frontend migrations to React.js, Next.js, and TypeScript, improving Core Web Vitals across flagship products.
Designed a centralized configuration management platform deployed across 8 repositories, standardizing implementation patterns for new properties.
Migrated legacy XSLT applications to modern Next.js architecture, improving accessibility, maintainability, and performance.
Mentors engineering teams and integrates AI-assisted tools (Claude, ChatGPT, Cursor, Codex) to accelerate delivery.
AI / GenAI Projects
Self-driven GenAI applications: LLM, RAG, and streaming
Self-initiated projects built outside of professional work to explore end-to-end GenAI application development — LLM integration, RAG pipelines, streaming responses, and local inference with Ollama.
AI Conversational Assistant
- Built an end-to-end AI conversational application using Next.js/React.js and locally hosted Ollama LLMs.
- Developed backend APIs with FastAPI/Node.js for LLM interaction and conversation management.
- Implemented streaming AI responses for a real-time experience, with conversation memory to maintain context across interactions.
- Designed an LLM provider abstraction layer supporting multiple providers, with configurable system-prompt management to control model behavior.
RAG-Based Document Intelligence Application
- Built an end-to-end Retrieval-Augmented Generation (RAG) application for intelligent question answering over PDF documents.
- Implemented PDF extraction, text chunking, embedding generation, and vector storage in ChromaDB with semantic retrieval of the most relevant chunks per query.
- Applied grounded prompting to constrain responses to retrieved context and reduce hallucinations; integrated Ollama for local inference with streaming through FastAPI.
- Added source citations with document name, page number, and relevant content snippets.
- Designed modular backend services separating document processing, embeddings, retrieval, prompt construction, and generation.
AI Personalized News Intelligence Platform
- Built a GenAI platform that aggregates news and delivers personalized, topic-aware feeds using embeddings and semantic vector search.
- Generated concise, LLM-powered summaries of long-form articles for faster reading, with streaming responses served through FastAPI.
- Modeled reader interests from engagement signals to rank and recommend the most relevant stories per user.
- Integrated locally hosted Ollama LLMs for summarization and semantic understanding, keeping inference private and low-cost.
Skills
Frontend, backend, cloud, and AI skills
Frontend
Backend / API
GenAI / AI Engineering
Performance & SEO
Cloud & DevOps
AI-Assisted Development
Projects
Featured product work and migrations
AI Conversational Assistant
End-to-end AI conversational app using Next.js/React.js and locally hosted Ollama LLMs, with streaming responses and conversation memory.
- My role
- Personal / Self-Driven
- Key impact
- Real-time streaming chat with an LLM provider abstraction layer and configurable system prompts.
RAG-Based Document Intelligence
Retrieval-Augmented Generation app for question answering over PDFs, with embeddings, vector search, and grounded, cited answers.
- My role
- Personal / Self-Driven
- Key impact
- Grounded responses with source citations (document, page, snippet) and reduced hallucinations.
AI Personalized News Intelligence Platform
GenAI platform delivering personalized, topic-aware news feeds with embeddings, semantic search, and LLM-powered article summaries.
- My role
- Personal / Self-Driven
- Key impact
- Personalized recommendations and concise summaries with private, local LLM inference.
Centralized Configuration Management Platform
Configuration management platform standardizing implementation patterns across 8 repositories at The Economic Times.
- My role
- Tech Lead
- Key impact
- Cut integration time for new properties and standardized patterns across flagship products.
Internal Admin Panels
Management and subscription admin panels giving business teams self-serve control over configurable content and data.
- My role
- Tech Lead
- Key impact
- Removed engineering dependency for day-to-day content and subscription changes.
XSLT to Next.js Migration
Large-scale migration of legacy XSLT applications to a modern Next.js architecture across flagship Economic Times products.
- My role
- Tech Lead
- Key impact
- Improved accessibility, maintainability, and Core Web Vitals scores.
FedEx Print Online
Enterprise document printing, customization, and order management platform built at Infogain.
- My role
- Sr. Consultant
- Key impact
- Delivered scalable printing and order management capabilities for a global enterprise customer.
Case Studies
Selected project case studies
RAG-Based Document Intelligence Application
Screenshots placeholderProblem
Extracting reliable answers from large PDF documents is slow and error-prone, and general LLMs hallucinate without grounding in the source material.
Solution
Built an end-to-end RAG pipeline — PDF extraction, text chunking, embeddings, and ChromaDB vector storage — with semantic retrieval and grounded prompting, served through FastAPI and Ollama.
Tech Stack
My Role
Personal / Self-Driven
Key Features
- PDF extraction and text chunking
- Embedding generation with ChromaDB vector search
- Grounded prompting to reduce hallucinations
- Source citations with document, page, and snippet
Impact
Accurate, cited answers grounded in document context, with local streaming inference via Ollama and FastAPI.
AI Conversational Assistant
Screenshots placeholderProblem
Building a real-time conversational AI that maintains context across turns without being locked to a single LLM provider.
Solution
Built a streaming chat application on Next.js/React.js with a FastAPI/Node.js backend, conversation memory, and an LLM provider abstraction layer.
Tech Stack
My Role
Personal / Self-Driven
Key Features
- Streaming AI responses
- Conversation memory across interactions
- LLM provider abstraction layer
- Configurable system-prompt management
Impact
A responsive, provider-agnostic conversational experience running on locally hosted Ollama models.
Centralized Configuration Management Platform
Screenshots placeholderProblem
Implementation patterns were inconsistent across properties and slow to extend to new repositories, lacking a single standard.
Solution
Designed and built a centralized configuration management platform (Next.js, React.js, Node.js) deployed across 8 repositories to standardize implementation.
Tech Stack
My Role
Tech Lead
Key Features
- Centralized configuration management
- Cross-repository standardization
- Self-serve business tooling
- Reusable implementation patterns
Impact
Standardized implementation across 8 repositories and cut integration time for new properties.
Legacy XSLT to Next.js Migration
Screenshots placeholderProblem
Flagship pages ran on legacy XSLT, limiting accessibility, maintainability, and further performance improvements.
Solution
Directed a large-scale migration to React.js, Next.js, and TypeScript with a focus on SSR and Core Web Vitals.
Tech Stack
My Role
Tech Lead
Key Features
- SSR-based rendering
- Improved Core Web Vitals
- Modern component architecture
- Accessibility improvements
Impact
Measurable Core Web Vitals gains and a more maintainable codebase across flagship products.
Experience
Career timeline and leadership path
The Economic Times (Times Internet)
Tech Lead – Front End Development
- Directed frontend architecture and led large-scale migration initiatives to React.js, Next.js, and TypeScript, improving Core Web Vitals scores and overall application performance across flagship products.
- Migrated legacy XSLT applications to modern Next.js architecture, improving accessibility, maintainability, and page performance.
- Designed and built a centralized configuration management platform (Next.js, React.js, Node.js) deployed across 8 repositories, standardizing implementation patterns and cutting integration time for new properties.
- Built and shipped multiple internal admin panels (Next.js, React.js) — including management and subscription tools — giving business teams self-serve control over configurable content and data.
- Mentored a team of frontend engineers, leading development for Economic Times Web and Mobile Web platforms and establishing engineering best practices.
- Integrated AI-assisted development tools (Claude, ChatGPT, Cursor, Codex) into team workflows, improving code review turnaround and production velocity.
Infogain India Private Limited
Sr. Consultant
- Developed and enhanced the FedEx Print Online enterprise platform using React.js, JavaScript, CanJS, HTML5, CSS3, AJAX, and JSON, delivering scalable document printing, customization, and order management capabilities.
Capgemini India Private Limited
Consultant
- Built secure, scalable online banking features for the HSBC Banking Platform using JavaScript, Dojo, jQuery, AJAX, HTML5, CSS3, and JSON.
Samsung India Software Centre
Senior Software Engineer
- Developed Smart TV applications using JavaScript, HTML5, and the Samsung SDK.
- Led a multithreading migration initiative across 200+ Smart TV applications.
- Received the Best Mentor Award (2012) for outstanding contribution to team development.
ONS Interactive Solutions Pvt. Ltd
Senior Software Engineer
- Enhanced enterprise e-commerce platforms using PHP, MySQL, JavaScript, jQuery, AJAX, and Magento, delivering new features, bug fixes, and performance improvements.
Chetu (I) Pvt. Ltd
Software Engineer
- Built scalable e-commerce solutions for PC Game Supply using PHP, MySQL, JavaScript, jQuery, and AJAX, including secure payment workflows and digital product delivery.
Resume
ATS-friendly summary for recruiters
Professional Summary
Frontend Architect and Tech Lead with 15+ years of experience building scalable, high-performance web applications for media, banking, ecommerce, and enterprise platforms. Expert in React.js, Next.js, TypeScript, JavaScript, Node.js, frontend architecture, performance optimization, and engineering leadership. Led large-scale frontend modernization initiatives, mentored engineering teams, and delivered business-critical products used by millions of users. Hands-on with GenAI application development, including LLM integration, RAG pipelines, and AI-assisted engineering workflows using Claude, ChatGPT, Cursor, and Codex. Strong focus on Core Web Vitals, SSR, REST API design, and frontend performance optimization.
Highlights
- 15+ years building scalable, high-performance web applications across media, banking, ecommerce, and enterprise platforms.
- Hands-on GenAI application development: LLM integration, RAG pipelines, streaming responses, and local inference with Ollama.
- Proven track record leading large-scale Next.js migrations and mentoring frontend engineering teams.
AI Developer Workflow
Faster delivery with AI-assisted engineering
- Built self-driven GenAI applications: a streaming conversational assistant and a RAG document-intelligence app.
- ChatGPT and Claude for architecture planning, debugging, and technical documentation.
- Cursor and Codex for code generation, refactoring, and faster implementation.
- AI-assisted code review integrated into team workflows, improving turnaround and production velocity.
- Mentors engineers on integrating AI tools responsibly into day-to-day development.
- Actively expanding skills in Python, GenAI tooling, and automation.
Blog
Technical article ideas
Building a RAG Document Intelligence App with ChromaDB and Ollama
PDF extraction, chunking, embeddings, and grounded prompting for accurate, cited answers over your own documents.
Streaming Responses and Conversation Memory in a Next.js AI App
Designing a real-time conversational assistant with an LLM provider abstraction layer and configurable system prompts.
Migrating Legacy XSLT to Next.js at Scale
Lessons from migrating high-traffic pages to Next.js without sacrificing SEO or Core Web Vitals.
Core Web Vitals for High-Traffic Content Sites
Practical techniques for improving LCP, INP, and CLS on content-dense pages.
Using Claude, ChatGPT, Cursor, and Codex in a Production Team
How AI-assisted development tools fit into a disciplined, review-driven engineering workflow.
Contact
Let's build your next frontend product
Immediate Joiner available for Staff Frontend Engineer, Frontend Architect, React/Next.js Developer, Full-Stack Developer, and AI Engineer roles.
- Phone
- +91 9158617600
- +91 9158617600