Senior AI Full-Stack Engineer with 10+ years of experience delivering enterprise-scale AI solutions in healthcare. Led development of multimodal clinical assistants that cut documentation time by 40% and built HIPAA-compliant cloud-native platforms across Azure, AWS, and GCP supporting thousands of users. Proven track record designing low-latency backend services and RAG pipelines for real-time decision support. Ready to apply deep AI and full-stack expertise to drive innovative, secure products that improve clinical efficiency and patient outcomes.
Remote: Yes
Willing to relocate: Yes
Technologies: JavaScript, TypeScript, Next.js, React, React Native, Tailwind CSS, Shadcn/UI, HTML/CSS, Responsive Design, Performance Optimization, Python, C#, Flask, .NET, FastAPI, Node.js, Express.js, NestJS, REST APIs, WebSockets, Firebase, Supabase, PostgreSQL, MongoDB, Real-time Streaming Services, Material UI, Scalable Backend Architectures, Media Service Integrations, Microservices, Generative AI, NLP, PyTorch, TensorFlow, OpenCV, OpenAI, ChatGPT, LangChain, LangGraph, DALL-E, Stable Diffusion, Databricks, Vector Databases, Model Optimization, Prompt Engineering, AI agents, Real-time Speech-to-Text, Voice Assistants, Whisper, Deepgram, ElevenLabs, Amazon Polly, LiveKit, AWS (Lambda, SageMaker, Bedrock), Azure (OpenAI, ML, Functions, Blob Storage), GCP (Vertex AI, Cloud Run, BigQuery), Vercel, Netlify, Docker, LangSmith, CI/CD, ClickUp, RAG Systems, Notion, Trello, Semantic Search, Jira, Linear, Slack, Teams, Claude, Cursor, GitHub Copilot
Resume/CV: https://drive.google.com/file/d/1gjJdDJf7H4nERi_kK0Ir2riIV3E...
Email: joshua.r2255@gmail.com
Website: https://choastery.online/
Senior AI Full-Stack Engineer with 10+ years of experience delivering enterprise-scale AI solutions in healthcare. Led development of multimodal clinical assistants that cut documentation time by 40% and built HIPAA-compliant cloud-native platforms across Azure, AWS, and GCP supporting thousands of users. Proven track record designing low-latency backend services and RAG pipelines for real-time decision support. Ready to apply deep AI and full-stack expertise to drive innovative, secure products that improve clinical efficiency and patient outcomes.