AS

Aryan Sharma

Researching and engineering in AI, ML, and DS

You want to protect the world, but you don't want it to change. How is humanity saved if it's not allowed to evolve?

Ultron · Avengers: Age of Ultron

Machine LearningAgentic AIComputer VisionLLM Systems

Currently: Looking for summer internship opportunities in AI, ML, and DS

Latest News

  • 2026.02

    Built a dynamic caption placement engine for videos with YOLOv8[GitHub]

  • 2025.11

    Built a prototype vaccine schedule listing web app for a funded college project[GitHub]

  • 2025.09

    Started M.S. in Computer Science at UC Riverside.

  • 2025.06

    Finished B. Tech. in Computer Science and Engineering at VIT Vellore.

  • 2025.03

    Paper on cross dataset meta-model for hepatitis c detection accepted in Scientific Reports.[Paper]

About

The best ML work, to me, lives where rigorous methods meet code you trust in production.

I'm a Computer Science graduate student at UC Riverside, where I focus on machine learning and artificial intelligence. My research so far has been on how we can build more efficient and interpretable deep learning systems for non-invasive healthcare applications.

Before UCR, I did my B. Tech. in Computer Science and Engineering at VIT Vellore. I bring a practical engineering mindset to my research. I believe the best ML work lives at the intersection of rigorous theory and clean, production-ready code.

When I'm not training models or writing papers, you'll find me building projects, reading research papers, playing chess, or exploring the hiking trails around Riverside.

Experience

R

Cybersecurity and Data analysis Intern

Sep 2023Dec 2023

Redinent Innovations

Bengaluru, Karnataka, India

  • Aggregated banner fingerprints from exposed interfaces of IOT devices using dorks, Censys, Shodan, and ZoomEye, expanded the database by over 1200+ entries, achieving 25% growth.
  • Pinpointed 17 vertical parameters to uniquely identify login pages for specific subgroups of devices.
  • Compiled stable attributes such as tuples through recursive analysis of login pages and reduced false matches by 25%, improving identification accuracy to 91%.
  • Delivered a clean, usable dataset mapped to device identifiers and helped streamline downstream tasks like external attack surface monitoring, increasing the number of devices monitored by 35%.
V

3D Modeling, Animations, and Game Development Intern

Feb 2023May 2023

Vifr Technologies

Vellore, Tamil Nadu, India

  • Architected and refined 25+ environmental, character, and animated assets every week, improving the assets library by 275%.
  • Spearheaded 5-person team to deliver 10 core features, completing the project 3 weeks before schedule.
  • Pioneered shader-based solutions in Unity to replace simulation-based methods for environmental objects; enhanced runtime efficiency by 60% and reduced draw calls by 150 per frame.
  • Engineered pipelines integrating accessibility features within the game, resulting in a 65% surge in user engagement among children with neurodevelopmental disorders during initial user testing.

Publications

Google Scholar →

A cross dataset meta-model for hepatitis C detection using multi-dimensional pre-clustering

Aryan Sharma, Tanmay Khade, Prof. Shashank Mouli Satapathy

Scientific ReportsDeep LearningExplainabilityHealthcare
Paper

Skills

Python (Advanced)C++ (Intermediate)Java (Intermediate)PyTorchTensorFlowscikit-learnHugging FaceYOLOv8RAG SystemsFAISSLangChainOpenAIAnthropicGoogleMicrosoftIBMAmazonReactNext.jsNode.jsSQLElasticsearchGitLinuxGoogle DorksShodanZoomEyeCensys

Education

U

University of California, Riverside

2025Present

M.S. in Computer Science

Focus: Machine Learning & Artificial Intelligence · GPA: 3.7/4.0 · Relevant Coursework: Advanced Machine Learning, Natural Language Processing, Advanced Computer Vision

V

Vellore Institute of Technology

20212025

B.Tech. in Computer Science and Engineering

GPA: 3.9/4.0 · Relevant Coursework: Data Structures and Algorithms, Operating Systems, Computer Networks, Database Management Systems, Computer Architecture, Compiler Design, Software Engineering, Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Robotics, and Embedded Systems.

Get in Touch

I'm always open to discussing research collaborations, interesting projects, or opportunities.