Frontend Architect and Tech Lead with 15+ years building scalable, high-performance web applications across media, banking, ecommerce, and enterprise platforms.
About Priyabrata
Frontend Architect and AI Engineer specializing in scalable React/Next.js systems and GenAI applications
15+ years building scalable frontend systems 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.
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
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.
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.