Sathish Kanna S

Sathish Kanna S is a full stack developer and AI engineer with around 3.5 years of production experience who works with technologies including React, TypeScript, Node.js, Python, and LangGraph. He is currently employed as a Full Stack Web Developer at Trackxi India Pvt Ltd, where he has built a multi-agent AI chatbot and a serverless AI document extraction pipeline. He is available for new opportunities and his website presents his portfolio, including his stack, experience, projects, and certifications.

Sathish Kanna S independently architected and deployed a multi-agent AI chatbot using Python, AWS Lambda, LangGraph, and LLMs at Trackxi India Pvt Ltd. This system reduced internal task lookup time by 40% and streamlined workflows across the product. He also built a serverless AI document extraction pipeline using AWS Lambda and Python that processes hundreds of documents weekly, cutting manual data entry by 30%.

Sathish Kanna S improved the Lighthouse performance score from 35 to 75 through systematic production optimization. The techniques used included dynamic import() code-splitting, chunk preloading, CRACO/Webpack chunking, lazy loading, and .webp asset conversion. He also engineered a reusable component library featuring a virtualized select dropdown handling 40,000+ options and a Dropbox-style file explorer with recursive tree construction.

Sathish Kanna S integrated SkySlope's transaction management API for two-way sync and built a client-facing analytics dashboard with Nivo and D3 for interactive nested visualisations. This replaced hours of manual reporting with real-time self-service data. He also collaborated on API design and PR reviews across the file explorer, component library, and dashboard.

Sathish Kanna S built a Dropbox-style file explorer with recursive tree construction from flat API responses and recursive search across deeply nested file hierarchies. Features include drag-and-drop upload, task reordering with position persistence, inline previews, folder relocation, and SSE-based real-time progress tracking. He also implemented a custom SSO auth code capture flow for child auth windows.

Sathish Kanna S created a reusable component library including a virtualized select dropdown handling 40,000+ options, dynamic React Hook Form forms with conditional rendering, a TinyMCE email editor, and a geospatial search bar with debounced API calls. The library also features an infinite scroll notification feed and timezone-aware date rendering across multiple regions.

Sathish Kanna S works with a technology stack that includes Frontend tools like React.js, Next.js, TypeScript, Redux, TanStack Query, Tailwind CSS, Material UI, and Webpack. Backend technologies include Node.js, Express.js, Python, REST APIs, Socket.io, Server-Sent Events, AWS Lambda, and Mongoose. AI & automation tools include LangGraph, LLMs, and Serverless Prompt Engineering.

Sathish Kanna S utilizes a database and tools stack that includes MongoDB, MongoDB Aggregation, Git, GitHub Actions, Docker, Vercel, Railway, and Cloudinary. He also uses LangGraph and LLMs for AI and automation tasks. The stack supports serverless deployment and prompt engineering workflows.

The official website of Sathish Kanna S is imsathish.dev.

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