
Software Engineer · Full Stack · Flutter · AI Systems
Building production-grade software systems end-to-end, from polished
Flutter frontends to scalable backends and AI-powered pipelines.
10K+ users · 99.8% uptime · 40% latency reduction · 40% crash reduction
- ✍️ I write about engineering & Flutter: Blog
- 🎤 I give talks & workshops: Talks
- 🧩 I contribute to open source: Contributions
- 🚀 I’ve shipped systems used by 10K+ users with 99.8% uptime
My work focuses on shipping real products, not demos:
- AI systems that care about latency, reliability, and inference
- Backend services that scale cleanly
- Mobile apps that feel fast, intentional, and human
I believe great engineering is where architecture, performance, and product sense meet.
- AI Systems: RAG pipelines, LangChain, LLM integration, vector search
- Backend Engineering: FastAPI, Node.js, REST APIs, scalable data models
- Mobile & Frontend: Flutter apps with clean architecture and smooth UX
- Infrastructure: Dockerized deployments, CI/CD, cloud-native systems
- Applied ML: Computer vision, on-device ML, inference optimization
Front-End: Flutter React.js HTML CSS
Back-End: FastAPI Node.js Express.js GraphQL
Database: Firebase MongoDB MySQL PostgreSQL Supabase
DevOps: Docker GitHub Actions Jenkins Ansible Kubernetes
Version Control: Git Gitlab
Cloud: AWS Google Cloud
Languages: Dart Python TypeScript JavaScript Java Bash C++ Rust Go
Other: Swagger Postman Prometheus Jira Slack Trello
ML/AI: OpenCV TensorFlow LLM HuggingFace LangChain
Internet Of Things RaspberryPi Arduino ESP32
- Designing AI-native application architectures
- Improving LLM inference performance & retrieval pipelines
- Building systems that are boring to deploy and exciting to use
- Research on VR Haptics



