Chief Officers



Ankit Gupta is an artificial intelligence entrepreneur, researcher, and student at Thomas Jefferson High School for Science and Technology. He’s the Founder and Chief Executive Officer (CEO) of Discover Artificial Intelligence, a robust organization geared towards developing AI solutions and educating students worldwide. Ankit has conducted Machine Learning research at the GMU Department of CS, led the Machine Learning Initiative at the TJ/NASA CubeSat mission, and developed vital infrastructure as an AI Development intern at the Anant Corporation. He has created numerous AI-integrated solutions, including a Stroke Detection System, Alzheimer’s Disease Recognition algorithm, and Heart Murmur Screening Device, all of which have reached over 95% accuracy after comprehensive testing. As a pioneer in the fields of Artificial Intelligence and Machine Learning, Ankit seeks to positively impact industry, transforming and spreading AI knowledge worldwide.

CTO- Matthew radovan

Matthew Radovan is an undergraduate student studying computer science at Stanford University. He is the Chief Technology Officer (CTO) at Discover Artificial Intelligence. He has over three years of experience both in software development and project management in his role as a full stack software engineer working for Lightning Kite. In conjunction with the Research Science Institute at Harvard University and the Massachusetts Institute of Technology and Harvard's visual attention lab, he developed and analyzed a computational model of the visual cortex. Currently, he is a key member of Stanford's UAV club on the systems and software teams, working to develop an autonomous drone to complete specific tasks in the AUVSI SUAS competition.



Daniel Like is currently a freshman at the University of Pennsylvania School of Engineering and Applied Sciences, where he studies computer science. He is the Chief Data Officer (CDO) at Discover Artificial Intelligence and has worked on several projects related to machine learning and natural language processing. Currently, he is working on an app called Knowt that generates questions from students' notes, where he focuses on the algorithmic side of development. In the past, he worked on a project related to machine learning and computer vision while at the New Jersey Governor's School for Engineering technology during the summer of 2017. Additionally, he worked on a project connecting machine learning and iOT technology while an intern at Rutgers University WINLAB.


ashwin ramaswami

Ashwin Ramaswami is an undergraduate student at Stanford University studying Computer Science. He has extensive experience with leading the development of AI-integrated software, as he is an Engineering Lead at Anora, Microsoft Student Partner, and Chief Technology Officer fo the Stanford Daily. As an Organizer of Stanford Treehacks, Stanford University’s yearly Hackathon and incoming Software Engineering Intern at Google in the Summer of 2019, working with the Search Optimization Team in San Francisco, Ashwin has a great deal of experience in the broader context of Computer Science, but also in machine learning. Building upon his experience from working in the Stanford Riedel-Kruse, Poetic Media, and Immigration/Policy Labs, Ashwin hopes to advise Discover Artificial Intelligence in the right direction and further empower thousands of developers worldwide.

steven li

Steven Li is a recent graduate of UC Berkeley, and is currently a Software Engineer at a blockchain startup in the San Francisco Bay Area working on quant-based, algorithmic trading of cryptocurrencies, fiat & stablecoins as well as Advisor for lightbeam, an early-stage Silicon Valley-based startup building an innovative mobile messaging platform that has applications in private messaging, social media, and peer-to-peer tech-support. He has an extensive software and AI engineering portfolio, having served as a software engineer at, Walmart Labs, Vase, and AlzCare Labs. Furthermore, he is currently in the top 0.01% of programmers on Coderbyte’s Coding Challenge ranking board of 150,00 developers.
As an advisor of DiscoverAI, Steven hopes to further help DiscoverAI gain a larger share of the market and guide the overall development of a successful educational product.

Product Managers

Mobile - pranav wadhwa

Pranav Wadhwa is a student at Thomas Jefferson High School for Science and Technology who has a strong passion for app development and artificial intelligence. He’s the Product Manager of Mobile Application Development at DiscoverAI. He has been designing and developing iOS apps for over four years, with experience winning hackathons, creating contract apps for companies such as Alpha Technologies and 3Advance, and interning at app development agencies. He is also the President of the Mobile Application Development Club and the Webmaster. Additionally, he enjoys exploring AI, including object detectors and virtual game systems.

web - suchet sapre

Suchet Sapre is a junior at Thomas Jefferson High School for Science and Technology. He’s the Product Manager of Web Development at DiscoverAI. His primary interest lies within utilizing Big Data to solve real world problems via machine learning and artificial intelligence. In order to pursue this interest, Suchet has been apart of many research projects that involve the applications of higher order computing. For instance, in last year’s Science Fair at TJHSST, Suchet developed an automated plagiarism detection tool utilizing a Naive Bayes Classifier. In addition, Suchet is currently the Web-Lead for TJ/NASA CubeSat, a club that is attempting to launch a small satellite by the end of this year. In regards to extracurriculars, Suchet is an officer at Bioinformatics Society. Outside of research, Suchet is an officer of both Future Problem Solving and LaunchX, and loves to play tennis and chess in his free time.


Vishnu Murthy is a senior at Thomas Jefferson High School for Science and Technology and the Product Manager for Machine Learning at Discover Artificial Intelligence. His primary interest lies in using machine learning for disease diagnosis tools, and he developed ML diagnosis techniques over the summer at the Massachusetts Institute of Technology. In addition to presenting his research at the IEEE Conference at Princeton University, he has held various leadership positions, ranging from CFO at GCL to President of Thomas Jefferson High School’s Technology Student Association and as the Vice President of his school’s Bioinformatics Society. Furthermore, Vishnu has a great deal of experience with entrepreneurship, ML algorithms, execution along with web frameworks, and development.


avyuk dixit

Avyuk Dixit is a junior at Thomas Jefferson High School for Science and Technology with a strong interest in computer science, specifically computer vision and machine learning. He’s the Product Manager of Data Analytics/Natural Language Processing at DiscoverAI. Some of his most recent projects include a model to diagnose glaucoma from fundus images of the eye, work that might soon be integrated at the world's largest eye hospital and could impact hundreds of thousands of potential glaucoma patients, and an algorithm to determine disease progression in glaucoma patients. Avyuk finds it necessary to bring machine learning outside of academia to the general public, and has done so by discussing its applications with a local supervisor. Outside of computer science, Avyuk enjoys participating in Lincoln Douglas Debate, has won numerous awards at national tournaments in the JV and Varsity level.


Head of Business communications- aditya kumar

"Aditya Kumar has extensive experience in both computer science and in managing operations. He has worked in web scraping and data science with professors from Howard University and has experience in growing operations through his work with political campaigns and Veterans on the Rise, a nonprofit providing housing to homeless veterans. He is in charge of streamlining operations, increasing efficiency, and generally turning DiscoverAI into a corporation fit to compete in today's environment"

marketing director- jonathan hou

Jonathan Hou is a Junior at TJHSST.

Lead Developers


Prateek Gunnam is a Junior at Thomas Jefferson High School for Science and Technology and the Lead Mobile Application Developer at Discover Artificial Intelligence. Regarding experience with mobile development, he developed the main organization mobile app, using the React Native framework, for Jeeva Informatics Solutions and the Organization for Rare Diseases India (ORDI). He is currently taking the mobile and web application development, computer vision, and artificial intelligence courses at TJHSST. The class taught him some applications of AI such as solving simple puzzles and playing complex games. He has found an interest in artificial intelligence as its possibilities to analyze relationships and increase development of areas from robotics to medicine are endless.


shubham goda

Shubham Goda is junior at Thomas Jefferson High School for Science and Technology and the Lead Web Developer at Discover Artificial Intelligence. His primary interests include computer science and chemistry. He serves as an officer for both TJHSST's chemistry team and rocketry team, in which Shubham regularly tackles problem solving, something that can be extended to AI. Additionally, he has excelled in classes regarding artificial intelligence and AP Computer Science. He is well-versed in a multitude of coding languages including Java, Python, and C++. His goal is to develop AI to help the society in a variety of ways, including education and well-being.


Alex Levine is a senior at La Jolla High School in San Diego, CA and the Lead Machine Learning Developer at Discover Artificial Intelligence. His interests lie at the intersection of theory and applications. In particular, he researches techniques in order to make machine learning algorithms more efficient. At the moment, he is currently doing a rigorous comparison of arrhythmia detection techniques and using these insights to develop an efficient on-demand heart monitor. He currently serves as the president of his school's VEX Robotics team, which he has raised thousands of dollars for. In his free time, he likes to play Tetris on high speeds and try new foods.


Rishabh Misra is a junior at Thomas Jefferson High School for Science in Technology and a Lead Natural Language Processing and Data Analytics Developer at Discover Artificial Intelligence. His interest lies in computer science - more specifically the application of artificial intelligence to practical roles in the modern world and the emergence of advanced cybersecurity. He enjoys working on research projects that relate to his interests, including one with undergraduate students at George Mason University where he is working to lay the foundations for an autonomous shuttle on campus. This past summer, he created a neural network system to efficiently process and classify road actions based on sensor inputs that a car receives in order for a vehicle to be able to respond to road occurrences like emergency vehicles, railroad crossings, and more. He is currently working on developing a decision making model for the autonomous vehicle. Rishabh enjoys machine learning and hopes to apply it in new and innovative ways to problems in the world whenever he can.


MOBILE- Shreshth kharbanda

Shreshth Kharbanda is a student at North Creek High School in North Creek, Washington, and a Mobile Developer at Discover Artificial Intelligence. He is passionate about solving problems in today’s world through technology, such as mobile application development, artificial intelligence, machine learning, and software development. He has participating in a plethora of technology competitions and recently ranked among the to­­­­­­­­­­­­­­­­­­­p 15 mobile application developers in the nation as part of FBLA (Future Business Leaders of America). His educational goal is to obtain a master’s degree in computer science, specializing in Artificial Intelligence.

WEB- parth vakil

Parth is a junior at Chantilly High School and a Web Application Developer at Discover Artificial Intelligence with an enormous interest in computer science and the STEM Field. Furthermore, he is very interested in artificial intelligence because he believes it is truly one of the building blocks that will create the society of tomorrow. In addition to working as a Mobile Developer, Parth is the Marketing/Advertising Manager at DiscoverAI, overseeing several Sponsorships with large tech companies.He has helped a tutoring center flourish with his marketing capabilities and he hopes to do the same with DiscoverAI in order to create a better future. Additionally, he is also part of his school Science Olympiad team, and he hopes to extend his knowledge of science through this company. In his free time, he likes to play tennis and read books.


Nuha Mohammed is a sophomore at Thomas Jefferson High School for Science and Technology and a Machine Learning Developer at Discover Artificial Intelligence. She developed a deep interest in computer science at an early age. Highly passionate about programming, she is equally skilled in numerous software and machine learning algorithms. During the summer of 2018, she gained valuable experience as a researcher at the Center for Applied Proteomics and Molecular Medicine at George Mason University where she created a protein-based diagnostic software for tuberculosis. Nuha is active in and outside her high school community, participating in various computer clubs and competitions as well as volunteer activities where she demonstrates strong leadership skills in inspiring and guiding elementary school students to pursue computer science.


Praneeth is a junior at Thomas Jefferson High School for Science and Technology and the Natural Language Processing and Data Analytics Developer at Discover Artificial Intelligence. Deeply interested in the field of Artificial Intelligence, he believes that the potential of artificial intelligence is insurmountable in improving the daily lives of people worldwide. Praneeth has worked with Jeeva Informatics Solutions on a project that calculates a probable diagnosis for patients with a rare disease, using the React Native framework for cross mobile platform compatibility. To further his learning, Praneeth is taking many advanced courses in school such as Artificial Intelligence and Computer Vision. Outside of school, he enjoys coaching a VEX Robotics team and helping others realize their passion for STEM. Other hobbies Praneeth enjoys in his free time are practicing music and playing sports with friends.