Hooman Pegahmehr is an AI/ML Engineer and career mentor with 8+ years building and deploying machine learning systems in production - from data pipelines and model training to MLOps and scalable inference. He helps developers break into and grow in AI/ML: mastering the fundamentals (Python, math for ML, deep learning), building a standout portfolio, and cracking ML interviews at top companies. Through 1:1 mentorship, mock ML interviews, resume and GitHub reviews, and career guidance, Hooman has helped engineers move from software and data roles into ML Engineer, Applied Scientist, and MLOps positions. He breaks down complex topics - transformers, model deployment, and ML system design - into clear, actionable steps. Whether you are starting your AI/ML journey or targeting a senior ML role, Hooman offers hands-on, no-fluff guidance grounded in real production experience.