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Email: parishruthig2@gmail.com · Homepage: parishruthiganesh.github.io

LinkedIn: linkedin.com/in/parishruthi-ganesh-85909b188 · Google Scholar: scholar.google.com

Parishruthi Ganesh

Computer Vision (CS) Ph.D. Student

Computer Science Ph.D. student with a specialised focus in computer vision and machine learning — video understanding, human activity detection, object detection and multi-object tracking. Aiming to contribute to the applied science and robotics industry through research in sensory data interpretation and algorithm development.

Education

Ph.D. in Computer Science and Software Engineering Aug 2025 – Present

Auburn University · Focus: Computer Vision, Video Understanding, Object Detection

Master of Science in Computer Science and Software Engineering Aug 2023 – Aug 2025

Auburn University · GPA 3.82 / 4.00

Bachelor of Engineering in Computer Science Aug 2017 – Aug 2021

Visvesvaraya Technological University

Skills

Languages: Python, SQL, JavaScript, C#, Java, HTML/CSS

Frameworks/Libraries: PyTorch, Pandas, Scikit-learn, Node.js, Matplotlib, ASP.NET

Tools: AWS, Azure, Docker, Linux, Git

Publications

Research & Machine Learning Experience

Graduate Research & Teaching Assistant, Auburn University Jan 2024 – Present

  • DEMA — architecting a full-stack engineering data platform on the CIM4DE information model, and exploring how LLMs can classify record quality and answer questions over the data it holds.
  • AUSME — built a retrieval pipeline over roughly 25,000 research papers that summarises faculty work and exposes it through a conversational interface for finding expertise across 50+ faculty.
  • Delivered hands-on Python and MATLAB lab sessions to undergraduates, supporting programming proficiency through mentoring and assignment guidance.

Software Developer, Emids Technologies Pvt Ltd Dec 2021 – Jul 2023

  • Built the Reports, Accounts, Leads and Contacts modules of an enterprise CRM, including the SQL queries and aggregations behind its reporting views.
  • Designed Spring Boot REST services moving customer and sales data between modules, and built the server-side layer with JSP, JSTL and Servlets.

Selected Machine Learning Projects

SplitShield (Proof of Possible 2026; GitHub; Demo; Video)

  • Finds duplicate images leaking across dataset splits with perceptual hashing and MobileNetV3-Small embeddings, and reports how far accuracy moves once they are removed.

Circular Trade Fraud Detection with Graph Learning (Research project; GitHub)

  • Detects circular trading rings in invoice data with graph cycle detection, Node2Vec embeddings and DBSCAN.

AstraNova (Build with Gemini XPRIZE; Demo; Video)

  • An intraday options copilot combining live market data, model-scored signals and broker execution.

Multi-Class Sentiment Analysis with BERT (Coursework; GitHub)

  • Fine-tuned bert-base-uncased on the SMILE annotation dataset as a study of transformer transfer learning.

Other Projects

Sentinel Memory (CockroachDB × AWS — Build with Agentic Memory; GitHub; Demo; Video)

  • An incident-response agent whose memory is a transactional database rather than a context window.

LabGuard AI (All Things Agentic Hackathon; GitHub; Demo; Video)

  • An autonomous research agent that challenges a scientific claim and runs the experiments that could disprove it.

ThinkTrace AI (SPEED August AI Challenge; GitHub; Demo; Video)

  • Reads each student's written reasoning rather than only the final answer, and groups a class by shared misconception.

Leadership & Service