Lead Developer | AI-Native Full-Stack Engineer
Github: github.com/subhasishdasfreelance
Mobile: +919330669590
AI-native Lead Developer with 11+ years of full-stack development experience, specializing in Next.js, React, TypeScript, Python, and AI-powered applications. Experienced in taking products from requirements and technical specifications through architecture, AI-assisted implementation, testing, and production deployment. Strong focus on spec-driven development and AI-assisted workflows, using modern coding agents and GenAI tools to rapidly turn product ideas into production-ready software. Proven experience building AI agents, RAG systems, conversational applications, and scalable customer-facing platforms.
Vidyasagar College
Bachelor of Science with Computer Science
Kolkata, India
April 2012 - March 2015
Ramkrishna Mission
Web Development, C, C++, Linux etc
Belurmath, India
April 2011 - March 2012
Lead Developer at Opteamix LLC
○Lead a team of 7 engineers building full-stack and AI-powered enterprise applications, owning technical architecture, implementation, code quality, and production delivery.
○Apply spec-driven development to convert product requirements into structured specifications, implementation plans, and production-ready software.
○Use AI-assisted / vibe-coding workflows with coding agents and GenAI tools to accelerate development, debugging, refactoring, and iteration.
○Make architecture and technology decisions across frontend, backend, APIs, databases, and AI integrations.
○Collaborate with stakeholders and engineering teams to translate product requirements into scalable, maintainable solutions.
○Drive engineering standards through code reviews, reusable patterns, and development best practices.
July 2026 - Present
Tech Lead at SADA / Ubique Systems
○Built and deployed an AI-powered chatbot using Google CX Agent Studio, integrating conversational workflows and customer-support automation.
○Developed and integrated the chatbot frontend into the client’s website, collaborating with the client’s engineering team to optimize performance and user experience.
○Implemented Magento storefront cart operations using customer tokens, enabling users to add and manage cart items directly through conversational interactions.
○Developed customer personalization and cart-manipulation workflows using Google BigQuery to support targeted shopping experiences and behavioral insights.
○Contributed to the complete chatbot integration lifecycle, including frontend implementation, backend connectivity, workflow development, and production deployment.
○Leveraged AI-assisted development practices to accelerate implementation and iteration.
April 2026 - June 2026
Senior Software Engineer at ITC
○Designed and developed AI-driven user interfaces and features using Next.js, React, and Tailwind CSS.
○Adopted Feature-Sliced Design (FSD) architecture to structure and scale frontend applications integrating multiple AI agents.
○Leveraged tools such as Cursor, ChatGPT, and Amazon Q to accelerate development and improve engineering efficiency.
○Led a team of 5 engineers using Agile SCRUM methodologies, setting technical direction, conducting code reviews, and ensuring best practices.
○Owned the full application lifecycle, from system architecture design to production deployment.
○Collaborated closely with product teams and stakeholders through regular team meetings to deliver practical, user-centric AI solutions.
August 2025 - January 2026
Fullstack Web Developer at Dezy.com
○Architected and implemented a RAG-based AI system (DezyGPT) using LangChain and LangGraph, including end-to-end data ingestion, embedding, and retrieval pipelines with vector databases.
○Built and maintained full-stack applications using Next.js, React, TypeScript, Tailwind CSS, and Python-based backend services.
○Developed scalable backend services and APIs using Python and Next.js API routes to support AI workflows and frontend features.
○Implemented CI/CD pipelines to automate build, testing, and deployment processes, improving release reliability and reducing manual overhead.
○Led the revamp of internal dashboards, delivering responsive and accessible UIs.
○Improved application performance and achieved a 30% reduction in operational costs by leveraging SEMrush and Google PageSpeed insights for optimization.
○Integrated third-party APIs and optimized SSR/ISR strategies in Next.js for performance and scalability.
○Managed authentication, databases, and file storage using AWS Amplify.
○Designed and implemented GraphQL APIs and schema layers to efficiently query and manage dentist and clinic data, reducing over-fetching and improving frontend performance.
August 2020 - June 2025
Fullstack Web Developer at Arun Electricals Pvt Ltd
○Developed internal tools and admin panels using HTML, CSS, JavaScript, jQuery, and WordPress.
○Built inventory dashboards backed by MySQL to streamline operations and reduce manual effort.
○Created reusable UI components to ensure consistency across applications.
○Automated workflows and reporting using Excel with VBA scripting.
○Owned end-to-end development with minimal supervision in an Agile SCRUM environment.
July 2015 - July 2020
○Engineered a production-grade customer-facing dental care platform using Next.js, TypeScript, Tailwind CSS, AWS Amplify, PostgreSQL, and Python backend services.
○Developed scalable backend services and APIs using Python and Next.js API routes to power features like appointment booking, treatment discovery, and location-based clinic search.
○Improved Core Web Vitals (LCP, CLS) and reduced page load times by ~35-45% through SSR, code-splitting, and asset optimization, leading to increased organic traffic.
○Implemented CI/CD pipelines to streamline build and deployment workflows, improving release efficiency and reliability.
○Partnered with stakeholders in regular product discussions to translate requirements into wireframes and production-ready UI, leveraging GenAI tools to reduce development turnaround time by ~30%.
○Integrated DatoCMS using its GraphQL API to manage and serve dynamic data for clinics and dentists, enabling flexible content updates and improving data consistency across the platform.
○Developed a scalable frontend for an industrial AI platform enabling real-time root-cause analysis, knowledge mining, and reporting for engineering teams.
○Built using Next.js, TypeScript, Tailwind CSS, and AWS Amplify, with seamless integration to Python-based backend systems.
○Improved performance scores from ~60 to 85+ on Google PageSpeed by optimizing bundle size, lazy loading, and rendering strategies.
○Accelerated product development lifecycle by ~25% by integrating AI-assisted tools such as Cursor and Google Stitch.
○Delivered a high-quality, responsive frontend for a global luxury chauffeur service platform covering airport, corporate, and private travel use cases.
○Improved UI responsiveness and reduced initial load delays by ~30% through optimized asset delivery and efficient component design.
○Ensured consistent cross-device experience, contributing to improved user engagement and lower bounce rates.
○Rapidly shipped features by leveraging AI-assisted design and development workflows, reducing iteration cycles significantly.
○Built the foundational dental care platform that later evolved into Dezy, using Next.js, TypeScript, Tailwind CSS, AWS Amplify, and Python backend services.
○Developed essential user journeys including treatment exploration, appointment booking, and clinic information systems.
○Improved SEO visibility and reduced page load times by ~30% through SSR and structured content optimization.
○Collaborated closely with stakeholders to iterate on product direction and scale the platform into a production-ready solution.
○Developed a web platform for a UAE-based food and dining service, focusing on seamless user experience and service discovery.
○Built using Next.js, TypeScript, Tailwind CSS, AWS Amplify, and Python backend for scalable full-stack architecture.
○Improved frontend performance and reduced interaction latency by ~25–30% through optimized rendering and API handling.
○Integrated APIs and refined user flows, contributing to smoother customer journeys and improved engagement.