Ankit Parekh
About Ankit Parekh
Ankit Parekh is an Associate Software Engineer - Public Cloud at Jefferies, with a background in cloud engineering, software development, and academic research in AI and computer vision.
Company
Ankit Parekh is currently employed at Jefferies, working as an Associate Software Engineer - Public Cloud. His professional role started in 2024, and he continues to contribute to the company in a hybrid work setup based in New York, United States.
Previous Roles and Experience
Ankit Parekh has accumulated diverse professional experiences prior to his current position. He worked at the Center for Geospatial Information Technology at Virginia Tech as a Software Development Engineer [Graduate Research Assistant] in 2023 for four months. He has also served Jefferies as a Summer Associate - Cloud Engineering in 2023. Other positions include working as a Software Developer [Graduate Research Assistant] at the same center from 2022 to 2023. From 2020 to 2022, he worked at UBS in Navi Mumbai as a Software Engineer - Cloud, DevOps & Automation and had an earlier role at UBS as a Summer Intern in 2019. Additionally, he held an internship at BAG electronics (India) Pvt. Ltd. in 2017 and served as a Research Assistant - AI and Deep Learning at the Centre of Excellence in Complex & Nonlinear Dynamical Systems (CNDS) from 2019 to 2020.
Education and Expertise
Ankit Parekh possesses a robust educational background. He earned a Master of Science (MS) degree in Computer Engineering - Software and Machine Intelligence from Virginia Tech, studying from 2022 to 2023. During the same period, he also obtained a Graduate Certificate in Data Analytics. His undergraduate studies were completed at Veermata Jijabai Technological Institute (VJTI), where he achieved a Bachelor of Technology in Electronics and Telecommunications Engineering from 2016 to 2020. Complementing his formal education, Ankit holds multiple certifications in Microsoft Azure and AWS, showcasing his proficiency in cloud technologies.
Published Research
Ankit Parekh has contributed to the field of computer science through academic research. He is the author of a paper titled 'Explainable Deep-Fake Detection using Visual Interpretability Methods,' which delves into the intersection of deep learning and image processing. This research focused on the development of methods to make deep-fake detection more interpretable using visual techniques.
Personal Interests and Hobbies
Outside his professional and academic endeavors, Ankit Parekh actively engages in activities such as power-lifting, soccer, and table tennis. These hobbies provide a balanced lifestyle and a source of joy away from his work in the technology sector.