Mohita Chowdhury

Mohita Chowdhury has a diverse work experience that spans over several years. Starting in 2016, they worked as a Product Developer at Wheels on Roll until March 2018. In 2017, they became a Summer Research Fellow at the Indian Institute of Technology, Delhi, where they developed strategies to compute disparity and normal maps using stereo images.

In 2018, Mohita took on two research assistant roles. At Nanyang Technological University, they designed a low-cost algorithm to remove false positives in foreground detectors for traffic surveillance. Later that year, they joined the National Institute of Technology Karnataka as an Undergraduate Research Assistant. There, they designed a method to tackle copy-move forgery detection, which was published in TENCON 2019.

In 2020, Mohita joined the University of Oxford as a Graduate Research Assistant at the Visual Geometry Group. During their time there, they worked on a thesis focused on "Human Object Interaction Detection", using combined computer vision and natural language processing techniques to predict human-object interactions.

Finally, in 2020, Mohita began their current role at Ufonia as an AI Research Engineer. Mohita collaborates with clinicians, engineers, designers, and regulators to develop machine learning and software solutions that enhance the intelligence and performance of Ufonia's voice-based conversational assistant for clinical care pathways.

Mohita Chowdhury completed a Master's degree in Computer Science from the University of Oxford from 2019 to 2020. Prior to that, they earned a Bachelor of Technology (B.Tech.) in Electronics and Communication Engineering from the National Institute of Technology Karnataka between 2015 and 2019. Additionally, Mohita has obtained several certifications, including "ChatGPT Prompt Engineering for Developers" from DeepLearning.AI in May 2023, "Introduction to Machine Learning in Production" from Coursera in August 2021, "Machine Learning" from Coursera in February 2018, "Introduction to Computer Vision" from Udacity in December 2017. They have also completed the "MATLAB Onramp" certification from MathWorks, although the obtained month and year are not specified.