Hi, I'm Ansh! I'm from Chicago, IL. I'm currently an incoming undergraduate at the University of Illinois Urbana-Champaign studying Computer Science. I just finished interning at Smartlinx, a workforce management solutions company, where my main project was to build a virtual clock system enabling a cross-building clock-in service for over 500K users, enhancing employee convenience and reducing building constraints.
I love working on projects that I am passionate about on the side. Most recently, I got my article published in the Journal of Student Research titled, "Using a Predictive Model to Reduce Emissions/Energy Costs with Virtual Power Plants in North India," where I developed a Machine Learning model with 98.89% accuracy in predicting emissions/cost, demonstrating the potential of Virtual Power Plants to reduce pollution in developing countries.
I love exploring new technologies and am currently fascinated by Virtual Power Plants, applications of Machine Learning in fintech, and Caleb Williams' Super Bowl run with the Bears (I'm still delusional). I am a huge NFL football fan. You'll find me glued to the nearest TV, computer, or phone streaming multiple games at once. It's the best way to root for my favorite players who are all coincidentally on my team now and hang out with friends. Can't wait for UIUC games!
I love writing articles on Medium.com about Machine Learning and AI. It's an outlet to provide others who might not have a technical background with info about how our future innovations run behind the scenes. But even more than that, it's an opportunity for aspiring engineers, including myself, to strengthen their foundational knowledge and build off of that.
I love talking about tech, products, stocks, and more. Feel free to connect with me over LinkedIn! Links to the left!
SWE Intern - Built a virtual clock system for over 500K users, enhancing convenience and reducing building constraints
Researcher - Developed ML model with 98.89% accuracy in predicting gains in emissions/cost to reduce pollution in developing countries
Research Intern - Improved ML control system accuracy to over 99% for a Fermilab particle accelerator to enhance safety measures
IOT Camp Instructor - Created and taught a 7-day Algorithms course covering essential computer science topics to high school students
SDE Intern - Developed a payroll info entry web page for 5000 accountants and collaborated with teams to enhance product quality
Next project is going to be a Fantasy Football Player Score Predictor so you can accurately choose which player to start at what position using real life data instead of "a hunch."