Accessibility app using TensorFlow Lite for real-time object
detection with audio warnings for visually impaired.
• Java • TensorFlow Lite • Computer Vision
Full-Stack Software Engineer • AI/ML Enthusiast • Open Source Contributor with 3+ years at high-growth startups delivering scalable distributed systems and 0-to-1 product launches. Expert in JavaScript/TypeScript, real-time systems, and cloud infrastructure; integrating frontier LLMs into AI-assisted workflows, optimizing developer velocity by 40%.
Languages: JavaScript, TypeScript, Go (Golang), Python, Java, SQL, HTML5, CSS3 • Frontend: React, Next.js, Vue.js, Nuxt.js, Tailwind CSS, Zod, shadcn/ui • Backend: Node.js, Express.js, GraphQL, REST API, WebSocket, Socket.IO • Databases: PostgreSQL, MongoDB, Redis, Firebase, BigQuery • DevOps & Cloud: Docker, AWS (S3, Amplify), CI/CD, Git • AI/ML: LLM Integration (Claude, GPT-4), TensorFlow, NLP, Computer Vision • Tools: Electron, OpenAPI, RBAC, Agile/Scrum
Full-stack engineer delivering scalable platforms across mapping, campaign management, and real-time systems serving 100K+ daily users while contributing to Super AI team's LLM integration efforts.
Promoted to full-time, delivered 4+ production apps across diverse business domains using React, Next.js, and Node.js.
Shipped features and fixed critical bugs across multiple production codebases with agile processes.
Accessibility app using TensorFlow Lite for real-time object
detection with audio warnings for visually impaired.
• Java • TensorFlow Lite • Computer Vision
Published extension porting flash.nvim navigation to VS Code with 1500+ installs (also on Open VSX for VSCodium/Cursor), 5-star rating, intelligent search, multi-cursor. • TypeScript
Collaborative video platform with synchronized playback, chat,
local/cloud media support using WebSocket real-time.
• Next.js • Socket.IO • Firebase
Cross-platform FTP aggregator with search indexing, content discovery for local network sharing. • Next.js • Electron