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. As the CEO, Ankit oversees the business as a whole, works alongside the CTO and CDO, and is in control of overseeing products, events, and machine learning/software development. 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. As the Chief Technology Officer (CTO) at Discover Artificial Intelligence, Matthew oversees all machine learning and software development efforts at DiscoverAI while working very close with the CEO. 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. As DiscoverAI’s CDO, he’s the central executive for much of the strategic oversight in the natural language processing efforts at DiscoverAI. 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 and an Advisor at DiscoverAI. As an advisor, he works primarily to make sure that each of the project managers is using their time as effectively as possible to carry through the strategic goals of the company. 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 an advisor of DiscoverAI, he works closely with upper executive management to direct the company in the most profitable direction. He is also an 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 and directs the mobile application product effort at DiscoverAI along with the Mobile Development head. 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 and as such, he heads the web development initiative while closely working with web development team. 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.


Alex Levine is a senior at La Jolla High School in San Diego, CA and the Machine Learning Project Manager at Discover Artificial Intelligence. As the ML Project Manager, he works on coordinating efforts with the ML Lead Developer as well as interacting with upper executive management. 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. As a project manager at DiscoverAI, he coordinates efforts being done by lead developers and core developers with upper executive management, while contributing to the code base with his expertise. 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.


Head of Business communications- aditya kumar

Aditya Kumar is the Head of Business Communications at DiscoverAI, and thus assists in strategic oversight for the business and marketing growth. He works closely with the CEO to coordinate new efforts to expand the product line and promotes communication with the consumer base. He 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.

Lead Developers


shubham goda

Shubham Goda is junior at Thomas Jefferson High School for Science and Technology and the Lead Web Developer at Discover Artificial Intelligence. In this role, he leads the adroit web developers at DiscoverAI by coordinating efforts and communicates with the web development project manager to make sure efforts are running smoothly. 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.


Nuha Mohammed is a sophomore at Thomas Jefferson High School for Science and Technology and the Lead Machine Learning Developer at DiscoverAI. In this capacity, she leads the summer machine learning interns in developing the machine learning oriented components of DiscoverAI products, such as the DiscoverAI ML Institute. 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.


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.