Since 2022 I have spent my summers working internships at CogoLabs, a startup incubator company in Cambridge, Massachusetts. Cogolab's vast data repositories make it an appealing staging ground for startups in the Internet services industry. In the past few years, Cogo has directed more attention towards supporting AI startups in the face of the AI revolution. In parallel, my internships have become more AI-centric every year, as it will dominate the future of entrepreneurship and product design. Watch the interview below to get a sneak peak of my last internship experience, or scroll to the "2024" section of this page to learn more specifically about what I started building.
2024 Cogo Labs AI-interns interview with CEO of Blitzy AI, Brian Elliot.
2022
In 2022, I ran an influencer marketing campaign for a Cogo company called SmarterTravel and also curated a highly customized audience for their travel advertisements. By mapping users' mobile advertising IDs (MAIDs), we were able to target travelers who would be more likely to convert on a hotel booking through SmarterTravel. Here is an advertisement created by one of our partnered influencers.
2023
In 2023, my internship consisted mostly of learning computer science. First, I took a Udemy course to acquire basic Python skills and then took a more advanced Python course on Deep Learning and AI. This not only taught me how to code different types of neural networks, but more importantly, it taught me the history of artificial intelligence and the intuition behind how different fundamental AI architectures work. Gaining this baseline knowledge of AI architectures has allowed me to better understand the latest technological breakthroughs in the field and helped me predict how the field will continue to change the world. Another part of the 2023 summer that helped me prepare for the future of AI was taking Alexander Amini's online MIT course: Introduction to Deep Learning -- 6.S191, which has many lectures highlighting the frontiers of AI technologies. Because the other interns and I spent most of the summer learning, we only had two weeks or so to apply our new skills to a final project. My friend Yash and I spent our remaining time working on a convolutional neural network (CNN) that could distinguish between trash and compost with an accuracy rate of 87%. This is impressive considering that we had to assemble our our training dataset of over 250,000 images manually. Yash and I planned to deploy this neural network into an actual robot that could physically sort between trash and compost with the help of the Pingree robotics team. We made some progress but have to re-evaluate which computer we run the program on -- the raspberry pi we used was not powerful enough. Our vision is to eventually deploy a prototype of the automatic trash sorter in the Pingree dining hall.
2024 - The Best Year So Far!
This summer has been the most exciting and impactful so far because it provides the other interns and I with the opportunity to deploy our knowledge of AI and computer science into the real world. After quickly learning some front-end web development skills such as HTML, Javascript, Typescript, and React (a lot easier to learn after knowing Python), we are starting to found internet startups that employ the latest generative AI, and provide products that have never been possible before. My friend Yash Bolishetti and I are founding our first AI company, Inherent AI, which is going to revolutionize accessible education through cutting-edge AI avatars. To learn more about Inherent AI, click here
Imagination in Action AI Summit @MIT - June of 2024
Because of my fortunate connections within MIT, I am able to attend the yearly Imagination in Action event in the CSAIL lab. This year was particularly inspiring because the focus of the event was on AI entrepreneurship, which I pursue myself during my internships.
Will.i.am Speaks on AI Music