I’m Priyanshu Sah, an AI Engineer focused on turning AI research and models into products people can actually use.
Currently at Liferythm Healthcare, I work on an AI powered healthcare suite spanning clinical documentation, patient triage, AI receptionists, follow-up automation, React Native applications, FastAPI microservices, and Bluetooth enabled medical device integrations. My work spans the full product lifecycle from data preparation and evaluation to backend development, model integration, deployment, and production AI systems for community healthcare.
My interests include LLM applications, agentic systems, model serving, inference optimization, and building reliable software around AI models. I enjoy building AI systems end-to-end from research and experimentation to production-ready applications used in real-world workflows
- Agentic Systems | LangGraph | RAG | MCP
- Medical LLMs | Transformers | LangChain | Hugging Face
- Fine-Tuning | Evaluation Pipelines | Unsloth
- Multimodal AI + VLMs | Model Serving | Inference Optimization
- React Native | React | FastAPI | Flask
- REST APIs | WebSockets | Node.js
- System Architecture | Nginx | Cloudflare
- Docker | GitHub Actions | AWS | GCP
- CI/CD | Elasticsearch | Production Deployments
- Project Maintainer of TradingViewPlus, contributing features, architectural improvements, and adapter-based support for TradingView-powered platforms used by 300+ traders.
- Contributed 20+ pull requests, resolved 30+ issues, shipped major releases, and continue maintaining the project alongside the community.
- RAG | Agentic Workflows | LangGraph | MCP
- Fine-Tuning | Evaluation Pipelines | Inference Optimization
- Multimodal Systems | VLMs | Domain-Specific LLM Applications
- LangChain | LlamaIndex | Transformers | Hugging Face
| Project | Description | Tech Stack |
|---|---|---|
| 🩺 Healthcare AI Platform (Liferythm) | End-to-end healthcare AI platform integrating React Native, FastAPI microservices, LangGraph workflows, Medical LLMs, and Bluetooth-enabled medical device integrations for community healthcare. | React Native, FastAPI, LangGraph, Medical LLMs |
| 🎮 PokeDreamer | Dreamer-style model-based RL research implementing discrete RSSMs, VAE+GRU world models, and scheduled-sampling ablation studies for latent dynamics learning. | PyTorch, Model-Based RL |
| 📈 TradingViewPlus | Open-source browser extension where I contribute major features, adapter-based support for TradingView-powered platforms, architectural improvements, and ongoing maintenance as a project maintainer. | TypeScript, Browser APIs |
| 🤖 NavDP (Research Sandbox) | Research project extending Navigation Diffusion Policy with custom omni-directional robot support, simulator improvements, and sim-to-real experimentation. | Python, PyTorch, Robotics |
| 🧠 Organizational Chatbot | Enterprise Graph-RAG assistant automating IT and HR workflows through document understanding, tool calling, and secure authentication. | Flask, LangChain, Graph-RAG |
| 🌍 Eco Chain | Full-stack Web3 marketplace for secure, decentralized tracking and trading of tokenized carbon credits | MERN, Solidity, Web3.js |
