Videet Parekh
About Videet Parekh
Videet Parekh is a Machine Learning Engineer with extensive experience in building and managing automated CI/CD pipelines and developing machine learning operations products. He holds a Master of Science in Computer Science from New York University and has worked with various organizations, enhancing their machine learning capabilities.
Current Role as Machine Learning Engineer
Videet Parekh currently works at Latent AI, Inc. as a Machine Learning Engineer since 2020. In this role, he focuses on maintaining robust, fully automated CI/CD pipelines for seamless code deployment. He utilizes tools such as Atlassian Bamboo and Gitlab to expedite the development process, ensuring efficient and error-free software delivery. His responsibilities also include managing SDK containerization via Docker and deploying core APIs for machine learning quantization and optimization.
Professional Experience
Videet has a diverse professional background in machine learning and software engineering. He previously worked at New York University as a Teaching Assistant in Artificial Intelligence for three months in 2019. He also held internships at various organizations, including Latent AI, Inc., OriGen.AI, and Skarma. His experience includes leading engineering efforts on commercially available ML Ops products and building a comprehensive Test & Evaluation tool that improved ML testing pipelines for Fortune 500 companies.
Educational Background
Videet Parekh earned a Master of Science in Computer Science from New York University, where he studied from 2018 to 2020. Prior to that, he completed his Bachelor of Technology in Computer Engineering at Mukesh Patel School of Technology, Management, and Engineering from 2013 to 2017. His education has provided him with a strong foundation in computer science and engineering principles.
Technical Skills and Expertise
Videet has developed a strong skill set in machine learning and computer vision technologies. He is experienced with various model architectures, including MobileNet, Resnet, Yolov3, Yolov5, EfficientDet, and UNet. His expertise extends to edge computing, where he designed and built an easy-deploy edge ML inference service to benchmark diverse models and datasets. He also maintains and deploys APIs for machine learning optimization.
Internship Experience
Throughout his career, Videet has completed several internships that have contributed to his expertise in machine learning and software engineering. He interned at KPMG India as an Analyst from 2017 to 2018, and at Edelweiss Financial Advisors Ltd in 2014. His internships at Latent AI, OriGen.AI, and Skarma provided him with practical experience in machine learning operations and software development.