Graduated@IITD
With a 9.804/10 GPA in CS Masters, 9.008/10 GPA in CS Bachelors and a Minor Degree in Theoretical and Computational Techniques in Physics. Looking forward to the journey ahead!
I have explored and dabbled in the theory and projects of a diverse variety of fields. PFA some snippets of my ventures, sprinkled with some fun tidbits

With a 9.804/10 GPA in CS Masters, 9.008/10 GPA in CS Bachelors and a Minor Degree in Theoretical and Computational Techniques in Physics. Looking forward to the journey ahead!

Attended the conference in person to present: accepted work on Neuro-Symbolic AI. Inspirational to hear from and meet both industry and academic giants. Amazed by the amazing work done by the ML community in domains like RL, time-series and flow-based models.

Culmination of a long series of self-motivated efforts to pursue interest in Physics - Coursework spanning Quantum Theory, Computation Theory and Cosmology, and a research project on analysing absorption lines in IFU Spectroscopy.

Conferred Outstanding Teaching Assistantship Award Twice across two semesters by the CSE Department for contribution to the Courses COL778 - Principles of Autonomous Systems (Head TA), and COL333 - Principles of Artificial Intelligence (TA). View: Announcements by the Department

Involved in Alpha Research and using Machine Learning Techniques to tune financial signals.

Serving as a Teaching Assistant to the Faculty, managing Labs and tutorial sessions, resolving Doubts, Assignment Help and Answer Script evaluation for the freshman batch.

Spent 10 weeks at the University of Westen Ontario, Canada, optimising Time To Accident (TTA) prediction using Dashcams. Meticulously analysed and tuned the loss function for reliable training.

Mentor, Board of Student Welfare: Mentored freshers and helped them navigate the topology of academics & co-curriculars at IITD
Goals are dreams with deadlines!
State Estimation using Kalman Filters, EKF and solving the Data Association problem. Simulations, Plots and Analysis of a myriad environments and sensor efficiences
A retrieval system and index constructor that is able to search through 250K documents (1Mb each) in 1.12 seconds. Incorporates Variable Byte Compression and Byte Pair Encoding for better storage and performance.
Into Search Algorithms, State estimation, Planning tasks and RL, via automated driver, English Error-Corrector, Mojuco Gym Agent, Imitation Learning and Actor-Critics
Augmented xv6 Kernel Round Robin schedulers with Earliest Deadline First (EDF) and Rate Monotonic Scheduling (RMS) variants, and implemented virtual Reader & Writer devices using Linux modules
A Congestion Control Protocol - TCP NewRenoPlus, and implementation and Simulation of a variable cached P2P network
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