About Me
As a seasoned MLOps Engineer and Machine Learning Consultant, I specialize in optimizing and deploying cutting edge models, focusing on Natural Language Processing NLP and Large Language Models LLMs. My work spans the full lifecycle of machine learning projects, from data preprocessing and model training to deployment and monitoring.
I have a strong track record in migrating code to Databricks and setting up robust MLOps pipelines that ensure smooth integration and scalability. With proficiency in tools like Python, PySpark, R, and Azure Boards and Repos, I bring both technical depth and practical experience to each project.
Some of my recent work includes exploring Retrieval Augmented Generation RAG for improved information retrieval and using LLMs for essay scoring tasks. I’ve also contributed to foundational models for address text domains and optimized models using techniques like LoRA, QLoRA, and DeepSpeed.
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