👋 Hi there! I'm a Machine Learning Engineer specializing in Deep Learning optimizations, LLM fine-tuning, and AI-driven hardware solutions.
- MS Electrical Engineering, Information Technology University
- Specialized in Deep Learning and Computer Vision
- Thesis: Overlapped Fingerprints Separation using Domain Adaptation and GANs
At PrimisAI (Sep 2023 - Present), I'm:
- Leading research and development in AI-driven RTL generation with built-in verification
- Implementing full fine-tuning of Large Language Models for specialized Verilog code generation
- Architecting multi-agent systems for automated EDA workflows
- Contributing to core development of RapidGPT, enhancing its capabilities for hardware engineers
Senior Machine Learning Engineer @ PrimisAI (Sep 2023 - Present)
- Pioneered AI-driven RTL generation system with automated verification pipeline
- Developed and implemented novel approaches for LLM fine-tuning specific to hardware description languages
- Led the development of Nexus, a sophisticated multi-agent framework
- Published cutting-edge research:
Machine Learning Engineer @ Rapid Silicon (Mar 2022 - Aug 2023)
- Revolutionized neural network optimization framework for FPGA deployment
- Implemented sharpened cosine similarity, achieving 4.5x weight reduction while maintaining performance
- Developed RapidGPT Visual Studio extension, an AI assistant for hardware engineers
- This work led to seed funding and the creation of PrimisAI
- Deep Learning: Model optimization, Neural architecture design, Domain adaptation
- LLM Engineering: Fine-tuning, Prompt engineering, Multi-agent systems
- AI for Hardware: RTL generation, Verification systems, EDA tool integration
- Frameworks: Advanced PyTorch, TensorFlow (specialized in optimization)
- Development: Production-grade ML systems, Scalable AI solutions
- AI-driven Hardware Design
- LLM Applications in Engineering
- Neural Network Optimization
- Multi-agent Systems Architecture