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Shreyas Krishnan

INDIA ยท shreyas21447@gmail.com / f20200714@goa.bits-pilani.ac.in

LinkedIn | GitHub| CV

Hello, I am Shreyas, an undergraduate student at BITS Pilani Goa Campus, pursuing a double major in M.Sc. Mathematics and B.E. Electronics and Communication. My research interests encompass Computational Neuroscience, Natural Language Processing (NLP), and Deep Learning.

Throughout my college journey, I have worked with Prof. Snehanshu Saha, Prof. Amalin Prince, and Prof. Yuvaraj Rajamanickam at NTU Singapore, where I contributed to published work at the Institute of Engineering and Technology (IET), United Kingdom. The paper can be accessed via this link: here.

I have also worked with Prof. Ganapathy Krishnamurthi, Assistant Professor at IIT Madras. Currently, I am working on my undergraduate thesis under the guidance of Prof. Gabriel Kreiman, a Professor at Harvard University.

In my free time, you'll likely find me engaged in playing the violin and other music-related activities. Additionally, I play Chess and am an active member of the Institute chess team.

Education

Birla Institute of Technology and Science, Pilani - Goa Campus

BE Electronics and Communication Engineering

Master of Science Mathematics

Aug 2020 - Aug 2025

Central Board of Secondary Education

GPA: 12th : 94.6% - March 2020

GPA: 10th : 93.8% - March 2018

Experience

National Aerospace Laboratories (CSIR-NAL)

Research Intern | Bangalore, India | Jun 2022 - Aug 2022

  • Analysed surface currents, electric fields, and skin temperature for an aircraft when a lightning channel was passed through it.
  • The analysis and meshing of the geometry was done in MATLAB, and the surface currents and electric fields at different intensities were visualised on the Paraview software.

Nanyang Technological University (NTU)

Intern | Singapore | Oct 2022 - Present

  • Involved in improving emotion recognition from time-frequency images of EEG signals.
  • Integrated ResNet's feature extraction with machine learning models and compared performance against hybrid models.

National Institute of Advanced Studies (NIAS)

Intern | May 2023 - Present

  • Exploring unstructured pruning approach involving early weight updates for each connection.
  • Working on developing an efficient method to generate sparse networks that achieve benchmarked accuracies.

Indian Institute of Technology Madras (IIT-M)

Research Intern | Chennai, India | Jun 2023 - Aug 2023

  • Worked on implementing model architectures from Facebook AI Research (FAIR) for inferences such as object detection and instance segmentation.

Happymonk AI

Intern | Aug 2023 - Present

  • Built a Streamlit app to run a face recognition code on the backend.
  • Applied the SAHI model to YouTube live streams and annotated images with Roboflow for processing with the WALDO model.

Skills

Programming:

Python, MATLAB, HTML, CSS, JavaScript, C, C++

Deep Learning and Machine Learning:

Pandas, NumPy, TensorFlow, Scikit-Learn, PyTorch, OpenCV

Robotics:

Robot Operating System (ROS), Gazebo

Design:

Adobe Photoshop, Adobe Premiere Pro

Projects

Happymonk.co

Python, TensorFlow, NumPy, Scikit-Learn

Project Link

Developed a 1-hidden layer neural network model that adapts to the most suitable activation function according to the dataset.

Society of Artificial Intelligence and Deep Learning - BITS Pilani Goa

Python

Project Link

Worked on NLP using a mixup strategy on the TREC dataset and Bayesian Inference via MCMC for sampling MLP weights.

Meta_learning: Analyzing ECG Signals Using Machine Learning Algorithms

Python, Scikit-Learn, Pandas

Project Link

Feature analysis, correlation-based feature selection, and classification of ECG signal data for predicting Arrhythmia.

Quantum Computing

Python, Qiskit, NumPy

Project Link

Implemented a half adder circuit using the open source software development kit Qiskit.

Electronics and Robotics Club - BITS Pilani Goa

Robot Operating System (ROS), Gazebo

Project Link

Developed obstacle detection, PID controller, and path planning stack using ROS in Python, implementing the Dijkstra algorithm for path planning.

Coursework and Certifications

Data Science:

Machine Learning Foundations of Data Science (ongoing), Applied Statistical Methods, Statistical Inference and Applications, Optimization

Major:

Numerical Analysis, Probability and Statistics, Digital Signal Processing, Linear Algebra, Multivariate Calculus, Discrete Mathematics, Introduction To Functional Analysis, Ordinary Differential Equations, Control Systems

Certificates:

Course Representative:

Machine Learning (BITS-F464), Fostered student input and communicated announcements. Oversaw course-related announcements and facilitating coordination between faculty and students - Aug-Dec 2023