# Aditya Vyas > Stellar Development Foundation | Coinbase | Barclays Location: New York City Metropolitan Area, United States Profile: https://flows.cv/adityavyas ## Work Experience ### Software Engineer @ Stellar Development Foundation Jan 2023 – Present | New York, United States ### Backend Software Engineer @ Coinbase Jan 2022 – Jan 2023 | New York, United States Blockchain Data Platform Team ### Software Developer @ Barclays Investment Bank Jan 2020 – Jan 2022 | New York City Metropolitan Area ### Quant Developer @ Hudson & Thames Quantitative Research Jan 2019 – Jan 2022 | New York, New York Hudson & Thames Quantitative Research is a private research group focused on implementing the most cutting edge research in financial machine learning. - Implemented portfolio optimisation algorithms in Python - Hierarchical Risk Parity, Black-Litterman - Models, Bayesian Allocation - as part of our open source Python package - portfoliolab. - Writing technical blog articles on current research in financial machine learning. Articles have featured on Quantocracy and Interactive Brokers Quant Blog. - Reading academic journals and papers and collaborating with academics in financial machine learning research. - Developing production quality code used by banks and hedge funds in their research pipeline. ### Data Science Research Intern @ Apteo Jan 2019 – Jan 2019 | New York, United States ### Software Developer Intern @ Barclays Investment Bank Jan 2019 – Jan 2019 | Manhattan, New York ### Open Science and Reproducible Research Graduate Specialist @ Rutgers University Jan 2018 – Jan 2019 | New Brunswick, New Jersey ### Data Scientist @ Apteo Jan 2017 – Jan 2018 | Manhattan, New York Worked as a data scientist at this fintech company. My tasks included: - Developing trading agents using deep reinforcement learning for deciding optimal trading strategies. I created a Deep Q-Network algorithm for executing trades in Apteo’s stock market environment to learn buy, hold and sell strategies. - Use financial text articles to generate document vectors (doc2vec) and improve neural network accuracy in predicting stock returns. - Feature integration into Apteo's AI investing tool Milton. These features are a combination of company fundamentals data and features extracted from financial articles. ### Teaching Assistant @ Dhirubhai Ambani Institute of Information and Communication Technology Jan 2018 – Jan 2018 | Gandhinagar, Gujarat Worked as a Teaching Assistant for Prof. Jaideep Mulherkar in the course Computational Finance (CS401) - a course based on the computational aspects and mathematical aspects of stockmarkets. I developed and graded 60 Computational Science students’ weekly python lab assignments related to: - Binomial Asset Pricing - Risk Free Arbitrage - Monte Carlo Theorem - Black Scholes Equation ### Machine Learning Intern @ Shipmnts Jan 2017 – Jan 2017 | Ahmedabad Area, India Worked as a machine learning intern at Shipmnts, an Ahmedabad based logistics startup. Being a logistics company, Shipmnts receives large number of shipping bills, invoices and import/export documents. My projects dealt with image processing and machine learning techniques to extract useful information from the shipping bills and PDFs ### Mentor in Google Code-In @ Google Jan 2016 – Jan 2017 Provided feedback to and mentored 30 pre-university students on their work related to Python Flask, HTML, CSS, Javascript, Node.js and other development frameworks. ### Open Source Developer @ FOSSASIA Jan 2015 – Jan 2016 | Singapore Started open-source contributions in FOSSASIA's open-event-orga-server: an event management application for managing events in real time. I solved bugs, raised issues and improved documentation. I was selected in Google Summer of Code 2016 to work with FOSSASIA as a python web developer to rebuild its open event server from scratch. The project was built using python's web framework Flask and this was my first real development experience. ## Education ### Master of Science - MS in Data Science Rutgers University–New Brunswick ### Bachelor of Technology (BTech) in Information and Communication Technology Dhirubhai Ambani University ## Contact & Social - LinkedIn: https://linkedin.com/in/aditya1702 - Portfolio: https://adityavyas17.com --- Source: https://flows.cv/adityavyas JSON Resume: https://flows.cv/adityavyas/resume.json Last updated: 2026-04-13