I build AI and machine learning platforms that ship to production—not notebooks that sit in repos. My specialty is taking complex ML requirements and delivering clean, maintainable systems with PyTorch, TensorFlow, and modern Python architecture.
What you get:
• Custom model development and fine-tuning (LoRA, PEFT)
• GPU-optimized inference pipelines with memory management
• Production deployment with monitoring and logging
• API integration for your existing systems (FastAPI, REST)
• Clean, documented, maintainable code
Recent work includes orchestrating 14+ deep learning models with thread-safe GPU memory management, achieving 99.95% uptime and 28.5dB PSNR quality benchmarks. I focus on systems that scale and perform in real-world conditions.
Tech stack: Python, PyTorch, TensorFlow, Transformers, Celery, Redis, Docker, AWS/RunPod
Let's discuss your AI project requirements.