Mohit Jain, Ph.D. Email & Phone Number

Princeton, NJ, US

New York, NY, US

New York, NY, US

• Leading a team of data scientists and data engineers for developing back-end financial solutions using data science and machine learning – Generative AI - (Prompt Engineering, Retrieval Augmented Generation (RAG).
• Build analytics team that is comprised of data scientists/data engineers in Wealth Management Technology Group, from ground up
• Invented an algorithm for robust portfolio testing based on Generative AI – submitted to USPTO as a joint patent application (https://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/20230334299)
• Winner of Outstanding Innovation Award – New Patent Filing Award 2023
• Interacts with business, sales, marketing and operations to design and develop innovative solutions to increase automation and improve efficiency
• Member of AI Council at BNYM

New York, NY, US

Leading Wealth Management Technology in developing applications using data science, machine learning and artificial intelligence.

Jacksonville, FL, US

• FIS Derivatives Utility
• Lead a team to implement robotic process automation (RPA) to improve the efficiency in back office
• Developed an Anomaly Detector, using machine learning, to warn about stress in system due to sudden surge in trading volume
• Developed machine learning algorithms to normalize unstructured data that can be used for RPA
• Developed a user interface to monitor resource utilization using data analysis and data visualization
• Analyzed unstructured log files data and identified the reasons that were responsible for sending undesired alerts

• Analyzed data from an insurance company and developed and optimized machine learning models to predict insurance claims probability. Used Python machine learning packages such as Scikit-Learn and machine learning.
• Developed machine learning model to identify user activity, based in sensor data from smartphone, using XGboost
• Developed a webapp using US Center of Disease Control (CDC) Tracking Network and Census.gov data to present the data in a user-friendly interface (App was in the semifinals of the CDC Health Enviro Challenge) – used.
• Developed machine learning models using natural language processing (NLP) algorithms to perform sentiment analysis (Gensim, Word2Vec and LSTM/GRU and CNN)
• Analyzed imaging data to differentiate between various images using machine learning/deep learning (convolutional neural network) algorithms
• Developed a self-disinfecting door handle and built a prototype using- C for microcontroller programming and Python, html, CSS, jquery, javascript, C for user interface

Somerset, NJ, US

• Developed products using data analysis and experimental skills, in the field of nanotechnology and material science
• Led effort to provide Machine Learning related services in the field of material science
• Developed a webapp to keep track of chemical inventories using MYSQL, PHP, HTML and CSS
• Won over 7 million dollar worth of R & D contracts and grants from Department of Defense, Department of Energy and National Science Foundation, to develop cutting edge technologies.
• Facilitated the development of online marketing strategies that resulted in significant online presence of NEI’s products in relevant fields.
• Responsible for budget, commercialization strategies, and business plans for federally funded programs.

-Developed various iOS and Android apps using Unity Game Engine, Cocos 2D, Objective-C and Java-Developed a website using MYSQL, PHP, Html, CSS, Javascript and JQuery to aggregate data

New Brunswick, NJ, US

Developed manufacturing methods to produce functionally graded Diamond/Tungsten Carbide/Cobalt composites for hard drill bits that are needed in broad range of industrial applications.

M.Tech, Materials And Metallurgical Engineering

Ph.D., Materials Science And Engineering

Integrated M. Sc. (Chemistry)