About Prathmesh Vhatkar
Full Stack & AI Engineer based in Pune, India, specializing in production AI systems, Next.js web applications, and resilient cloud architectures.
Engineering Background & Philosophy
I am a software engineer passionate about building impactful systems where reliable backend architectures meet polished, responsive user interfaces. I specialize in designing and shipping production-grade applications that integrate modern Large Language Models (LLMs) and generative media pipelines.
Having studied Computer Engineering at COEP Technological University, I combine a rigorous foundation in algorithms and systems design with hands-on expertise across frontend, backend, cloud infrastructure, and AI engineering.
Proven Production Impact
AI SaaS Architecture & Scaling
At Clonio, I served as the sole Full Stack Engineer building and maintaining an AI SaaS serving over 10,000 users and 2,000 paying subscribers. I replaced expensive polling systems with signed Replicate and RunPod webhooks, reducing active CPU consumption by 95%. In addition, I built serverless video generation infrastructure with AWS Lambda, Remotion, S3, and CloudFront that rendered 18,000+ AI videos.
Media Streaming & High-Polish Frontend
At Proof of Skill, I migrated video recording systems from raw S3 uploads to Amazon IVS Web Broadcast SDK with automated retry handling, and delivered high-fidelity swipe recruiter workflows with Next.js 15, React 19, and Framer Motion.
Open Source Contributions
I contributed four merged pull requests to Roo Code (an open-source VS Code AI assistant with 24k+ GitHub stars and 1M+ downloads), fixing layout edge cases, settings dropdown overflows, and ensuring theme-consistent user experiences.
Core Technical Competencies
Frontend Engineering
React 19, Next.js (App Router), TypeScript, JavaScript, TailwindCSS, Motion / Framer Motion, Radix UI.
Backend & Databases
Node.js, Python, Java, PostgreSQL, Redis, Drizzle ORM, Prisma, tRPC, REST APIs.
AI & LLM Integration
LangChain, Vercel AI SDK, OpenAI API, Anthropic Claude API, Gemini API, Model Context Protocol (MCP), pgvector RAG.
Cloud & Infrastructure
AWS (Lambda, S3, CloudFront, IVS), Docker, Vercel, CI/CD pipelines, Git.
Let's Build Together
I am available for freelance full-stack & AI engineering projects, technical advisory, and full-time senior engineering opportunities.