Hello World!

I am Aparnaa

About

I'm a fifth-year Computer Science B.S./M.S. student at RIT with hands-on experience in software engineering, AI, and computer vision. I've worked on object detection systems using PyTorch and transformer-based models such as RT-DETR at Kitware. I've also conducted AI research on model robustness and limitations in pre-training techniques such as CLIP at the Griffiss Institute.

I'm passionate about building practical, real-world machine learning systems and am currently seeking full-time Software Engineer, Machine Learning Engineer, or AI Engineer roles.

Download Computer Science CV

Skills

Languages

  • Python
  • SQL
  • Java
  • JavaScript

Backend & Infrastructure

  • FastAPI
  • REST APIs
  • Slurm
  • GitLab CI/CD
  • Linux
  • Perforce

Data & Real-Time Systems

  • PyTorch
  • OpenCV
  • MediaPipe
  • Pandas
  • NumPy

Tools

  • Unreal Engine
  • TouchDesigner
  • Docker
  • Git

Experience

Kitware Incorporation

Computer Vision Intern

May 2024 - August 2024 | Carrboro, North Carolina

- Orchestrated distributed data processing workflows using Slurm and multi-GPU environments, optimizing resource allocation for high-throughput model training cycles

- Engineered extensible pipeline components for the YOLOX framework, enabling the seamless injection of new model architectures into existing production systems

- Automated dataset curation and validation using FiftyOne and PyTorch, creating standardized protocols for detecting edge cases in large-scale datasets

Griffiss Institute

Artificial Intelligence Research Intern

July 2023 - December 2023 | Rome, New York

- Designed adversarial stress-testing frameworks to evaluate system reliability, specifically targeting zero-shot classification failures and out-of-distribution data anomalies

- Implemented automated analysis pipelines using cosine similarity and confusion matrices as a way to quantify system robustness against homonyms

- Refactored legacy evaluation scripts into modular components, improving the reproducibility of experiments across ResNet and Vision Transformer model architectures

Northeastern University

Research Student Internship

February 2020 - June 2021

- Revised a mask recognition algorithm on the improvement of public health awareness post-COVID19.

- Presented research findings to NYC-based research competitions and was recognized as a Junior Science and Humanities Symposium 2021 semifinalist.

Massachusetts Institute of Technology

MIT Beaver*Works Summer Institute Cog*Works

July 2020 - August 2020

- Trained a model on using 15-second audio snippets and finding wavelength peaks to identify a song using NumPy, SciPy, and Numba.

- Designed a computer vision algorithm to match more than one faces shown on screen with a webcam with those saved in the program's database.

- Created one natural language learning ResNet model to find images using a given caption.

Leadership and Organizations

Computing Organization for Multicultural Students

Public Relations Chair, Active Member

August 2024 - Present

- Led communication and outreach initiatives, coordinating content across cross-functional teams

- Translated technical and event-related information into clear, user-friendly messaging for diverse audiences

Rochester Institute of Technology's Women in Computing

Graduate Coordinator, Active Member, PR Committee Member

August 2024 - Present

- Organized graduate-level technical and networking events to drive community engagement and membership growth

- Mentored elementary and middle school students in JavaScript and object-oriented programming fundamentals

Rochester Institute of Technology's Artificial Intelligence Club

Events Coordinator

May 2024 - May 2025

- Planned and coordinated company visits to expand student exposure to Artificial Intelligence.

- Captured photos and videos of events to help create recap posts and reels to support the club.

Sigma Sigma Sigma

Active Member, Alumni Relations Chair

February 2024 - May 2025

- Networked with and designed monthly newsletters to send to the alumni.

Get In Touch

I'd love to hear from you.