Summary
Pawan Patil is a Senior ML Engineer based in California with 9 years of experience building and productionizing machine learning systems, now working at Apple after a multi-year tenure at Synopsys. He specializes in LLM pretraining and fine-tuning, RAG architectures, and IR systems leveraging vector databases and retrievers, with hands-on experience in Hugging Face, PyTorch, LangChain, and Megatron-Deepspeed. Comfortable across the stack, he blends software engineering skills (Python, Java, Scala, Spark, Flask) with deep learning toolkits (TensorFlow, Keras, LoRA/PEFT) to deliver scalable code-generation and search-driven applications. A Master’s graduate from ASU, he pairs academic foundations in algorithms and design patterns with practical experience in model optimization (DPO, NEFTune) and cloud integrations like Azure OpenAI. Notably, his background spans both research-style model fine-tuning and production IR pipelines, making him effective at turning cutting-edge LLM capabilities into deployable developer tools.
9 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Sri Jayachamarajendra College Of Engineering
Master’s Degree Computer Science, Master’s Degree Computer Science at Arizona State University
Hindi, Kannada, English