Hi, my name is

Charitarth.

I craft intelligent systems

An ambitious undergraduate student with a passion for Machine Learning and its applications. I strive to delve into the latest advancements in the field, eager to contribute to innovative solutions and uncover the power of data-driven intelligence.

Resume

About Me

I am a passionate and ambitious undergraduate student with a solid foundation in Computer Science and Statistics. My keen interest in Machine Learning drives me to explore the intersection of technology and creativity, where data-driven intelligence can solve real-world problems. Currently, I am immersing myself in innovative solutions within this field, eager to contribute to its advancements and make a meaningful impact. My journey is fueled by a desire to leverage technology for transformative and practical applications, and I am excited about the opportunities ahead to grow and collaborate with like-minded professionals. Here are a few technologies I've been working with recently:
  • PyTorch/ PyTorch Lightning
  • Albumentations
  • Transformers
  • Scikit-Learn
  • Pandas/Polars
  • FastAPI

Experience

Freelance Machine Learning Engineer - IOPS
Aug 2023 - present
I am currently working as a freelance Machine Learning Engineer at IOPS on a project that uses decentralized federated learning to detect network attacks.
REU Researcher - University of Connecticut
Jun 2023 - Dec 2023
Worked at the Connecticut Transportation Institute building autonomous systems for the road.

Education

2021 - 2025
Bachelors of Science in Mathematics-Statistics, Minor in Computer Science
University of Connecticut

Relevent Coursework:

  • Data Structures & Algorithms, Systems Programming, Cybersecurity, Machine Learning, Data Science

Extracurricular Activities:

High School
Trumbull High School

Projects and Research

Energy Justice Mapping Tool
Python Pandas GeoPandas
Energy Justice Mapping Tool
  • The Energy Justice Mapping Tool is a solution to find areas which lack equitable access to energy infrastructure.
  • Worked in a multidisciplinary team whose proposal for a $2,500 grant was selected for the Clean Energy & Sustainability Innovation Program 2024.
  • Presented to White House officials and directors of Eversource Energy at the Clean Energy Summit 2024.
  • Paper submitted to IEEE PESGM 2025.
Link
LightningSparseInst
PyTorch PyTorch Lightning Weights and Biases FiftyOne Albumentations
LightningSparseInst
Replicating the results of Sparse Instance Activation for Real-Time Instance Segmentation by Cheng et al. (2022), published at CVPR 2022. Implementing SparseInst on ResNet-50, and investigating performance with other efficient backbones. Made data loading on COCO dataset 3x faster than default using caching and fast JSON parsing. Implemented custom transforms in Albumentations and a Custom Dataset Exporter in FiftyOne.
Encoding high-dimensional court data for pre-trial motion outcome prediction
PyTorch Lightning Pandas
Encoding high-dimensional court data for pre-trial motion outcome prediction
Working under Dr. Derek Aguiar to predict outcomes of motions. Implemented a custom multimodal predictor that achieves state of the art results on data from the Connecticut Judiciary.

Achievements

HackHarvard Best Efficiency Booster Hack
Awarded for SnipStudy, a platform for gaining insights from long form content.
HackUMass Best Use of Twilio Hack
Awarded for Who's There, a smart home security notification system

Get in Touch

My inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to get back to you!
Mail me