• C, C++, Java, Python, Go, MATLAB, OCaml, SQL, HTML/CSS, Git, Linux, LATEX

• Pytorch, Tensorflow, Scikit, Numpy, Pandas, Android Studios, Autodesk Investor, AutoCAD, Microsoft Office

• Gave a talk on "Modularized Load Balancing for multipath data center networks" for Routing in a black box at the research group of CITI Lab, France.

• Presented a paper on "Overview of Statistical Learning Theory" to a group of 50+ masters and PhD students.

• Delivered an interactive talk on "Image processing and noise separation" at the reading group of INSA Lyon, France.

• GRE : 327/340 (Quant: 170, Verbal: 157, AWA: 4.5)

• TOEFL : 110/120 (R: 30, L: 30, S: 24, W: 26)

• JEE Advance: All India Rank 299 out of over 1.3 million candidates in India

1. DSC106: Introduction to Data Visualization in Spring 2023 at UC San Diego.

2. ELL100: Introduction to Electrical Engineering (Course Coordinator: Prof. Prathosh A. P.) in Spring 2021 at IIT Delhi.

   • I was responsible for delivering weekly tutorials to a batch of 400+ first year students from Electrical Engineering department.

3. PYL102: Principles of Electronic Materials (Course Coordinator: Prof. Pintu Das) in Fall 2020 at IIT Delhi.

   • I designed multiple problem sets and assisted in the evaluation of 200+ sophomores from Computer Science, Mathematics and Electrical Engineering department.

Natural Language Processing, Reinforcement Learning, Convex Optimization, Computer Graphics, Computer Vision, Recommendation Systems, Robotics, Machine Learning, Data Structures and Algorithms, Software Engineering, Probability & Stochastic Processes, Operating Systems, Computer Networks, Database Management & Data Mining, High Speed Networks

• Reconfigurable Beacon, IIT Delhi : Embedded Systems Design Project demonstrated at Annual Open House'19, IIT Delhi [blog]

• S.D. Joshi, Ritvik Kapila, Chapter 13,14,15 - Signal Modulation and Demodulation in Communication Systems