Hi, I’m Akil (UH-kill) Rammohan. I’m a rising senior at the University of Wisconsin–Madison, majoring in Computer Science and Data Science. My interests include deep learning, and agentic AI. Feel free to reach out at [akilan dot rammohan at gmail dot com]. In my free time I love playing tennis, reading, and playing games.
I just completed the inaugural Summer AI Lab (SAIL) program at UW-Madison, funded by OpenAI and run by the N+1 Institute on campus. My team and I built an agentic AI powered news aggregator that intelligently sources news from reputable publications and handles bias. We presented to a team of local tech industry members and the director of CDIS to showcase our final project.
I also just completed my summer internship at AppFaktors, an architecture as code startup where I built a RAG pipeline to turn unstructured enterprise software architecture data into codified architecure representations.
I also did data analysis for Think Fast Talk Smart, a business communication podcast. I used python, pandas, and other data science tools to determine how best to grow the audience of the podcast. I ran analyses on optimal episode posting schedules, optimal episode titling, as well as general overviews of the podcast's reach and popularity.
Previously I was an undergraduate researcher at the NeuroErgonomics Lab, where I worked on the LEARNER project under Drs. Ranjana Mehta and Ronak Mohanty, aiming to improve law enforcement training using LLM-enabled conversational NPCs in immersive XR environments. I used a wide variety of technologies including Unity/C#, python, eye trackers from Tobii and PupilLabs, and heart rate monitors.