👨💻 AI Software Engineer @ Jaseci Labs
Specializing in: Compiler Engineering · MLOps · AI Model Training · Digital Hardware Integration
- Full-time AI Software Engineer at Jaseci Labs (JacLang & Jaseci core stack contributor)
- 3rd Year Undergraduate in Electronics & Telecommunications, University of Moratuwa
- Enthusiastic about bridging AI, compiler theory, and hardware
- Passionate about open-source and next-generation ML systems
- 🟦 JacLang & Jaseci Stack:
- Designed compiler optimizations, static analysis, and advanced runtime features
- Shipped developer tools and open-source contributions
- 🟧 AI & MLOps:
- Scalable training pipelines (LLMs, Vision-Language models)
- MLOps best practices: CI/CD, data versioning, cloud/edge deployment
- 🟩 Digital System Design:
- RTL (Verilog/VHDL), hardware/software co-design, Xilinx/Intel FPGAs
More Tech & Tools
- Languages: Python, JacLang, C/C++, Rust, Go, Bash
- ML & MLOps: PyTorch, TensorFlow, Hugging Face, TorchDynamo, ONNX, MLflow, DVC
- Compilers: JacLang, Python (TorchDynamo), language integration
- Hardware: Vivado, Vitis, Quartus, ModelSim, MATLAB/Simulink
- DevOps: Docker, Kubernetes, CI/CD, GitHub Actions, Linux
| Project | Description |
|---|---|
| littleX | Social platform prototype on JacLang & Jaseci |
| deep_learning | Experiments with deep learning architectures |
| FPGA-Programming | Digital system & hardware design projects |
| Machine-Learning | Core ML algorithms & applications |
“Bridging intelligence and hardware, one innovation at a time.”