Sanyam Garg
Age:
Madison, WI
Year:
+1 (646) 599-7862
I am a passionate UW–Madison junior pursuing a B.Sc. in Computer Science & Data Science. I thrive on solving complex problems and exploring innovative technologies.
Education
University of Wisconsin–Madison, Madison, WI
Bachelor of Science in Computer Science & Data Science
August 2023 - May 2027
Relevant Coursework
- Data Structures & Algorithms
- Introduction to Artificial Intelligence
- Linear Algebra
- Statistics R Programming
- Discrete Mathematics
- Calculus I & II
Experiences
Deep Learning Research Assistant, Keles Group (UW-Madison)
Madison, WI | April 2025-Present
- Contributed to developing and evaluating deep learning models (e.g., VERMIN framework) to predict DNA methylation from genomic sequences for the Sequence2Methylation-v2 project.
- Managed computational environments (Conda) and implemented data processing/analysis workflows (Snakemake) for large-scale human/mouse genomic datasets.
- Utilized Python, PyTorch, and a high-performance computing (HPC) cluster with GPUs for deep learning applications and data quality control.
Skyscanner SDE Job Simulation - Forage
Remote | November 2023 - January 2024
- Engineered a responsive web application using React, focusing on user experience and rapid prototyping
- Built a dynamic travel date selection interface with Backpack React, contributing to enhanced product usability and customer engagement.
Projects
Handwritten Digit Recognition Web App
Madison, WI | Personal Project
December 2024 – March 2025
- Developed and trained a Convolutional Neural Network (CNN) using PyTorch on the MNIST dataset.
- Implemented image pre-processing (resizing, color inversion) and data augmentation techniques to improve model robustness.
- Built a Flask-based web application that allows users to upload images of handwritten digits for real-time classification.
Distributed Peer-to-Peer File Sharing System
Madison, WI | Personal Project
August 2024 – November 2024
- Created a robust distributed system in Python to enable secure file transfers across a P2P network using multithreading and chunk-based transmission.
- Implemented file integrity verification with SHA-256, ensuring 100% accuracy in file reconstruction from 64KB chunks.
- Developed both CLI and Tkinter-based GUI interfaces to simplify configuration, peer discovery, and file management for end users.
SPlanner
Dubai, UAE | Personal Project
March 2022 – December 2023
- Developed a cross-platform scheduling app using Flutter and Dart, improving task management efficiency for 100+ users.
- Optimized data retrieval with dynamic arrays and linked lists, enhancing performance by 25%.
- Integrated secure Firebase authentication, safeguarding user data with industry-standard hashing protocols.
Tools
Programming Languages
Java, Python, JavaScript, Dart, SQL, R
Software
Flutter, React, Git, Node.js, HTML/CSS, Junit, NumPy, PyTorch, Flask
Concepts
Object-Oriented Programming, Data Structures & Algorithms, Version Control, Debugging, Machine Learning, Data Visualization