Hands-on engineer building production AI systems at scale. Technical contributor with track record of influencing architecture decisions and driving engineering culture across teams.
- Built RobotGPT: Architected and implemented natural language robot programming interface from concept to production
- Scaled Computer Vision Platform: Core contributor to Hikemoji serving 100M+ users, designed key ML infrastructure components
- Industrial AI Systems: Developed self-operating ML pipelines (AutoInspect/AutoSpray) that transformed manufacturing workflows
- Technical Leadership: Influenced platform architecture decisions across multiple teams, mentored 15+ engineers
- Open Source Contributions: Authored nginx-cookbook, active contributor to ML/distributed systems projects
AI/ML Engineering: Production LLMs, Computer Vision, MLOps, Model Deployment
Systems: Distributed Architecture, Kubernetes, AWS, High-Scale Infrastructure
Languages: Python, Rust, TypeScript, Go, SQL
ML Stack: TensorFlow, PyTorch, LangChain, Ray, Docker
- Write code that scales and maintainable systems that last
- Drive technical decisions through prototyping and data
- Mentor through code reviews and architecture discussions
- Influence through technical excellence and clear communication
🌐 dipankar.name | 📧 me@dipankar.name
🐦 @dipankarsarkar | 📚 Publications
Open to technical leadership roles, research collaborations, and advisory positions.