Machine Learning Developer

A results-driven machine learning developer professional graduating May 2026, with deep expertise in building and deploying scalable AI solutions. Proficient in NumPy, Pandas, Scikit-Learn, PyTorch, TensorFlow, Keras, LangChain, Hugging Face, PySpark, AWS, GCP, SQL and React/TypeScript. As a Machine Learning Developer at IBM, he architected an end-to-end, multi-agent Text-to-SQL pipeline achieving 93% accuracy and delivered a multimodal RAG system with 97% relevancy, securing over $300 K in contracts. At Toronto General Hospital (T-CAIREM Award), he engineered a 122 GB pathology slide pipeline, boosting model accuracy from 56% to 83% and achieving 91% on a multimodal fusion model. During a Summer Research Award, he processed 60 high-resolution videos using OpenCV and MediaPipe. At Sanofi, he built an ETL pipeline handling billions of records and implemented a two-click Snowflake/Streamlit workflow, cutting manual cycles from days to seconds. A collaborative leader, he consistently enhances team productivity through agile methodologies and data-driven innovation.