As an AI/ML Engineer, I specialize in building machine learning systems from first principles, leveraging a granular, "under-the-hood" understanding of model architectures. My core expertise lies in PyTorch and Deep Learning, where I have successfully designed and trained foundational models from scratch. Beyond development, I am deeply committed to AI Safety and Reliability, with proven experience in engineering autonomous agentic workflows protected by robust safety guardrails and evaluation suites. Whether integrating vision and text modalities or fine-tuning LLMs with PEFT/LoRA, my passion is rooted in translating deep theoretical concepts into high-performance, secure, and scalable applications.