Hello there! I am Ramneet, a student in the CSE Department at IIT Delhi, with a strong focus on Programming Languages and Machine Learning. My (desired) research interests include formal methods and neurosymbolic program synthesis. I am currently a Research Assistant in the School of Computer Science at Georgia Institute of Techology, working with Prof. Suguman Bansal on compositional algorithms for computing max-reachability policies in MDPs, which is a foundational building block in all probabilistic model checking algorithms.
Previously, I have worked as a Platform Engineer at Chorus One on the Infrastructure Team, where I built tooling for secure key management and encryption of their servers. I have completed internships at Adobe Research as a Research Intern and DataChannel Technologies as a Data Analyst Intern. I have worked with Prof. Subodh Sharma in a project on the formal verification of concurrent programs, and later on a COVID Vaccine Alerts telegram bot which reached people from 400+ districts. You can read more about me here.
Download my resumé.
Dual Degree (B.Tech-M.Tech) in Computer Science & Engineering, 2019-2024 (exp.), CGPA: 9.507
Indian Institute of Technology Delhi, India
Higher Secondary Education, 2019
Modern Vidya Niketan Sec.17, Faridabad, India
[01/01/2024] : Excited to be a Teaching Assistant for two courses (!!) at IIT Delhi this semester – COL726 : Numerical Analysis and Scientific Computing and COL728 : Compiler Design. I learned a ton from both these courses when I took them, and I hope to learn another ton this time.
[27/12/2023] : Arrived in Atlanta to work as a Research Assistant at Georgia Tech SCS with Suguman Bansal. I have been working on my M. Tech. Project with Suguman, and will continue that work for the next four months. We will (hopefully) make probabilistic model checking faster!
[24/07/2023] : I will be a Teaching Assistant for the course COL703 : Logic in Computer Science at IIT Delhi. The course covers many foundational concepts in logic, which are always nice to revisit.
(looking for more)
Max-Reachability Policies in MDPs
Infrastructure Team
Marketing Segment Flow Prediction
Data Driven Marketing Spend Optimization
A Machine Learning based tool for identifying P2P (Peer To Peer) Bot-Nets using network traffic analysis, as well as detecting the hosts involved in P2P traffic. Third prize winner at the HCL Hack IITK Hackathon.
Feel free to contact me :)