Parth Goel is a Senior Software Engineer and Machine Learning specialist with 8 years of software experience and 2+ years focused on designing and deploying production ML systems across computer vision, MLOps, and LLMs. At Oracle he co-leads development of an enterprise-scale MLOps pipeline and drove ML automation using REST APIs, prompt-tuned models, and vector search to cut manual engineering work by 80%. His Rutgers MS (4.0) and CVPR 2024 publication reflect a strong research pedigree, with projects spanning synthetic human activity recognition, GAN-based facial synthesis, and real-time patient monitoring using CNN-LSTM architectures. Technically fluent in Python, PyTorch, MLflow, Kubernetes, Docker, OCI, DVC, and Spark, he translates prototypes into scalable, production-ready services (including stacked regressors and prompt-tuned code assistants). He pairs academic rigor with practical engineering—having also explored neural network equivalence with SMT solvers to shrink models with minimal accuracy loss. Based in California, he enjoys building AI infrastructure that bridges research innovations and enterprise production needs.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Technology, Computer Science, 8.55, Bachelor of Technology, Computer Science, 8.55 at Manipal University Jaipur
High School Diploma, High School Diploma at Ahlcon Public School
Master of Science - MS, Computer Science, 4.0, Master of Science - MS, Computer Science, 4.0 at Rutgers University
A marksheet scanner that displays student marks in the app.
Contributions:4 PRs, 2 pushes in 6 months
scannermarksheetdisplaysmarksios
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