Bhavish.ai
Autonomous Digital Clone Console
Bhavish.ai
Hey, I'm Bhavish 👋
Full-Stack AI Developer
Welcome to my interactive console! You're chatting directly with my digital clone. Ask me about my architecture choices, check out my work history, or demo my live projects below!
Full-Stack AI Developer
Full-TimeProductHunt #3 Product of the Day- Engineered company VS Code Extension for mobile app testing with custom token storage & auto-refresh mechanisms.
- Built real-time low-latency WebSocket & ADB web UI stream for remote Android & iOS devices with interactive touch gesture relay (BrowserStack competitor).
- Built custom on-device gRPC server & SSE backend pipeline, extracting Android UI tree data to render a custom interactive Mobile UI Inspector for Maestro code generation.
- Integrated Appium Inspector via proxy and added vision AI agents generating Appium test scripts automatically.
- Designed Self-Healing test runner capturing findElements calls and recovering failed locators using DOM similarity search algorithms.
Full-Stack AI Developer
Full-TimeProductHunt #1 Product of the DayFrontend Developer Intern
InternshipResonance - Full-Stack AI Voice Generation SaaS
Multi-tenant AI voice generation platform powered by open-source Chatterbox model on Modal serverless GPUs. Features Paddle billing, S3 audio storage, workspace management, and custom session/OAuth auth.
Autonomous Vision-Agentic UI Test Pipeline
Autonomous vision-agentic testing pipeline combining multimodal LLM perception with visual grounding. Executes multi-step browser actions from natural language intent while live-streaming auto-generated Playwright test scripts.
NativeBridge Remote Device Farm & Mobile Inspector
Real-time remote mobile device farm (BrowserStack competitor). WebSockets + ADB touch gesture relay for manual device control, plus custom on-device gRPC server & SSE pipeline rendering an interactive UI node inspector for Maestro code generation.
Self-Healing Tests
Automated testing proxy capturing Appium findElements calls. Records passing locator snapshots on initial runs and uses DOM tree similarity search algorithms to automatically recover broken locators on test failures.
Frontend & Desktop Engineering
Backend & Streaming Systems
AI Agents & Testing Automation
DevOps, Cloud & Storage
M.Sc. Computer Science
GraduatedAdvanced computer science curriculum focused on distributed systems, algorithm optimization, software engineering patterns, and artificial intelligence.
I'm actively seeking Full-Stack & AI Systems Engineering roles! Whether you want to discuss my vision-agentic testing pipeline, BrowserStack competitor device farm, or full-stack SaaS architectures—let's connect.