I'm a Full Stack Developer(Generalist) with over 8 years of experience building customer-centric and enterprise-level solutions. Alongside a team of IITians, I’ve co-founded and led three firms, gaining deep expertise in designing self-driven entrepreneurial solutions—from architecture design to building robust, scalable, and low-latency software systems. Passionate about AI agents and full-stack development, I'm constantly learning and experimenting to push the boundaries of automation and scalability. I believe SaaS workflows and Saas itself are on the verge of a major transformation, and I'm developing AI-powered solutions to be part of this shift
I work remotely with international companies and have felt the need to establish my own platform tailored for a select group that aligns with my work.
"Check out this demo video showcasing AI Avatara in action! I’m powering these state-of-the-art models locally on my RTX 4090 rig, and I’m excited to share what I’ve been building. Note: If you’re intrested in my work, I offer personalized 1:1 demos—feel free to get in touch!
I'm deeply passionate about AI and dedicated to creating impactful AI-driven solutions. I believe various SaaS workflows can be automated, and SaaS itself is on the verge of a major transformation. To contribute to this shift, I'm building AI-powered solutions that push the boundaries of automation and scalability. In terms of technology, I leverage Next.js for frontend development to ensure a seamless and responsive user interface. Scalability and efficiency are ensured through a backend microservices architecture powered by AWS serverless infrastructure. At the heart of the AI model inference layer, I rely on Hugging Face and LangChain, harnessing open-source models to drive intelligent automation. My current focus is on developing a full-stack agentic wrapper that automates dynamic SaaS workflows
I'm constantly learning and evolving, deeply passionate about building full-stack agentic workflows that automate B2B SaaS processes. Drawing from my experience with my company, I'm strongly committed to creating open-source full-stack wrappers for SaaS automation
Current Tech Stack: Next.js, React.js, AWS CDK, Node.js, GraphQL, LangChain, Hugging Face, Celery, DynamoDB, AWS Serverless
My key contributions include: Dynamic Entity Import and Export Implementation: ePilot utilizes dynamic entities, similar to Shopify, to implement various building blocks such as submissions and journey automations. I implemented import and export features for the platform, enabling seamless handling of dynamic entities, significantly improving flexibility and efficiency. Storybook Testing for UI Components: Recognizing the importance of quality assurance, I implemented Storybook testing for all key UI components used across the platform. Leveraging React, I developed a comprehensive testing framework that ensured consistent functionality and visual integrity throughout the user interface, enabling efficient bug detection and enhanced user experience
Tech Stack: Node.js, AWS Lambda, AWS SAM, Amazon Web Services (AWS), AWS CloudFormation, Back-End Web Development, Amazon DynamoDB, MongoDB, Next.js, React.js, Micro Frontend Architecture
Aithinkers is a startup where we use an industry-leading tech stack to build complex software solutions. I played a key role in the client's projects AEROPARTSNOW and 8vdx, assisting the team in rebuilding sophisticated front-end modules from the ground up. As a full-stack engineer, I produced highly efficient code, handled production deployments, and managed code pipelines. I delivered complex client work under tight timelines, designed and rewrote modules like introducing a new pricing module based on real-time dynamic operational parameters, trained junior developers, troubleshooted production issues, and translated designs into high-quality code.
Project: AeroParts Now is an end-to-end aircraft parts trading e-commerce solution, from automated marketplace listings to global procurement search
Tech Stack: Node.js, Lambda, Elasticsearch, DynamoDB, SendGrid, Amazon SES, AppSync, AWS S3
I recruited, led, and coached a team of IITians through daily technical, business, and financial delivery sessions to fulfill dynamically changing business needs while constructing a smooth, bug-free, customer-centric system. Using the MERN stack, I worked as a major backend developer to build a monolithic software solution and developed the majority of the operational-end Android app for mechanics. I integrated reliable third-party services for push notifications, email services, referral marketing, and promo tracking, and played a key role in designing product architecture, UX, app, API, and project layers.
Project: We built a monolithic Uber clone for vehicle repair and maintenance services with real-time request mapping and tracking
Tech Stack: AWS EC2, MERN Stack, WebSockets, Plivo, OneSignal, Razorpay, AWS S3, React Native, Google Maps APIs
CMAE is a car IoT platform that analyzes user driving behavior, vehicle health, and service history. The IoT device, built on Raspberry Pi using the OBD port, receives data from the car ECU over the CAN-BUS protocol and sends it to the server via MQTT. I recruited and guided two mechatronic engineers in developing IoT devices with necessary sensors and software, wrote a module to receive ECU data and send it to the server, and built backend APIs to detect collisions, monitor driving behavior, perform trip analysis (overspeeding alerts, rash driving), and implement geofencing for theft prevention.
Project: IoT software and hardware solution to detect collisions, monitor driving behavior, analyze trips, and prevent theft
Tech Stack: AWS EC2, Python, Node.js, MQTT, CAN-BUS Modules, Plivo, OneSignal, MongoDB, Razorpay, Google Maps APIs