A curated selection of machine learning engineering projects, deep learning research, automated inference pipelines, and production systems across the ML lifecycle.
ML Systems & MLOps Fine-tuning, evaluation, and optimization of deep learning architectures for speech recognition (ASR) and synthesis (TTS) using PyTorch, Hugging Face, Whisper, and state-of-the-art voice models.
Production-oriented model serving and deployment on Linux systems using vLLM and Ollama. Engineered high-concurrency inference pipelines, WebSocket endpoints, and containerized serving infrastructure.
Side Projects & Software A clean and distraction-free Flutter recreation of the classic arcade game with a modern touch and interactive apples.