Aniruddha Chatterjee

Formulated and implemented an Activity Graph Simplification procedure, constructing activity hierarchies and detecting redundancies. Additionally developed an event path rule learning mechanism for efficient augmentation of future processes.

Awarded SURA for constructing an efficient algorithm to miniaturize deep learning models used in basecalling for Nanopore Signal data in Bioinformatics. Utilized model tuning and approximation methods such as Quantization of weights and biases.

Tutored for the course ELL101: Intro to Electrical and Electronics Engineering, mentoring over 100 first-year undergraduate students. Provided academic support and guidance to enhance student understanding.

Responsible for conducting several workshop events and hackathons, incorporating technical skills such as data cleaning and error correction. Researched various topics in astronomy for guest lectures, events, and team projects.

Wrote programs governing telemetry and related communication systems in C and proprietary STM compiler. Utilized protocols such as I2C and SPI for efficient data transfer.

Grade: 9

Currently pursuing a Bachelor of Technology in Mathematics and Computer Science. Achieved a DGPA of 9.

Grade: 99.0%

Completed Senior Secondary School with a focus on academic excellence. Achieved a grade of 99.0%.

Grade: 96.4%

Completed High School with a strong academic record. Achieved a grade of 96.4%.