Ronak Patel

Machine Learning Engineer with an MSc in Computer Science and a peer-reviewed international conference publication. Hands-on experience building and shipping end-to-end ML and GenAI systems using Python, SQL, AWS, FastAPI, Docker, and modern MLOps practices — including cloud-deployed RAG pipelines, recommendation systems(NDCG@10: 0.89), fraud detection models, and deep learning solutions. Expertise spans supervised learning, NLP, LLMs, deep learning, model evaluation, explainability, and CI/CD automation.

Proven ability to take ML solutions from experimentation to scalable production deployment.

Independent Machine Learning Engineer - Self-directed - Toronto, ON, Canada

(2024-05)

• Independently designed, built, and deployed two production-grade ML systems — a RAG-based recommendation engine and a fraud detection platform — owning architecture, experimentation, API engineering, and cloud infrastructure with minimal supervision.
• Built reproducible MLOps workflows, including experiment tracking, model versioning, and containerized cloud deployment, using AWS ECS Fargate, ECR, MLflow, and GitHub Actions CI/CD.

Graduate Researcher - Lakehead University - Thunder Bay, ON, Canada

(2023-09 - 2024-04)

• Owned model architecture and experimentation for a CNN-based pharmaceutical drug classification research project under faculty supervision, collaborating with two faculty advisors and a fellow graduate researcher to validate results and publish findings in IJANSER (May 2024).

MSc - Computer Science - Lakehead University (2022-09 - 2024-05) Thunder Bay, ON, Canada

B.tech - Computer Engineering - Gujarat Technological University (2017-08 - 2021-06) Vadodara, Gujarat, India