Carnegie Mellon University
Coursework: Advanced Topics in ML (PhD level), ML with Large Datasets, Distributed Systems, Deep RL
About
I'm a Master's student in Computer Science at Carnegie Mellon University, passionate about deep learning and its impact across NLP, quantitative finance and computational biology. Outside of research, I love mentoring, teaching and building communities around AI.
Coursework: Advanced Topics in ML (PhD level), ML with Large Datasets, Distributed Systems, Deep RL
Coursework: Data Structures & Algorithms, Operating Systems, Computer Networks, ML, AI, NLP, Database Systems
Selected nationally for Amazon's month-long ML program (2022).
Selected among women nationally for a 6-month mentorship in quant research and finance.
One of 32 selected from 6,200 women nationally for a 6-month STEM mentorship.
Led campus marketing at IIT Guwahati for JPMorgan Chase's Quant Mentorship Program, which mentors top sophomores at leading Indian schools in quant. I was a mentee in my sophomore year and came back as a mentor after joining JPMC full time.
Led the AI team on projects including the speech setup and chatbot for Raman, a humanoid robot, working with students from mechanical engineering, robotics and other departments.
Organised ML and DL hackathons, led projects, and mentored freshers in ML, AI and web/app development.
Organised research discussions, AI competitions and guest lectures in NLP, CV and AI for the campus AI club.
Mentored a group of 10 freshers through the Computer Science and Engineering Association, guiding them on academics, internships, research and placements.
Taught basic mathematics to over 300 tribal students in Palghar, rural Maharashtra, and volunteered as a teacher for underprivileged students on rural visits with the National Service Scheme at IIT Guwahati.