Prashant Dhillon

Prashant Dhillon has worked for a variety of companies since 2017. Prashant began their career at LTT Global Communications as a Software Development and Business Intern. In 2017, they also worked as a Computer Networks Intern at CRIS; A Autonomous Society under the Ministry of Indian Railways, where they analyzed the working of CRIS communication systems and network security in one of India’s largest data centers. In 2018, Prashant was a Research And Development Intern at the National University of Singapore. In 2019, they worked as an R&D Data Science Engineer at Utopia Global, Inc., where they worked on the development of an automation product solution using Machine learning, NLP Applications, Algorithms and Computer vision. In 2020, Prashant was a Machine Learning Engineer at NAVYA Group, where they worked on Real-time Object detection with INT8-Quantized Deep Neural Network and developed MobilenetV2 + SSD neural net detector based on TensorFlow and PyTorch technologies. In 2021, they became a Data Scientist at Capital Fund Management (CFM). Currently, Prashant is a Data Engineer at Epigene Labs.

Prashant Dhillon has a diverse educational background. Prashant completed their Senior School Certification in Mathematics and Pure Science from R.S.V. Hr. Secondary School. Prashant then went on to pursue a Bachelor of Technology - BTech in Electrical, Electronics and Communications Engineering from IIIT-Naya Raipur from 2015 to 2019. Prashant is currently pursuing a Master's degree in Computer Science from ESIEE PARIS since 2019. Additionally, they have obtained certificates from National University of Singapore, HubSpot and DataCamp.