Aushmeet Singh
Incoming senior at Texas A&M University studying Computer Science, building AI-driven and full-stack software.
A bit about me
I'm a computer science student at Texas A&M University with a minor in Electrical Engineering, graduating in May 2027. I love turning research ideas into real, working software, from full-stack web apps to AI and computer vision systems.
Across four research roles and an upcoming internship at Visa, I've built RAG pipelines, computer-vision tools, data simulations, and production web apps. I care about clean, measurable results and shipping things people actually use.
Education
Texas A&M University
B.S. in Computer Science, Minor in Electrical Engineering
Relevant coursework
Where I've worked
Software Engineer Intern
May 2026 – August 2026Visa · Austin, TX
- Migrated an AWS service to a lower-cost option, creating 50% in savings per year.
Undergraduate Research Assistant
August 2025 – PresentCASE Lab, Texas A&M University · College Station, TX
- Collected and analyzed 10k+ data points per AI-guided tour by tracking navigation times and user interaction flow.
- Utilized computer vision to analyze interface images and provide guidance, improving user exam scores by 26%.
Research Intern
May 2025 – August 2025National Science Foundation REU Program, Texas A&M University · College Station, TX
- Built a full-stack AI-powered construction simulator with a system usability score 16% above industry standards.
- Developed a Retrieval-Augmented Generation (RAG) model to answer user questions using embedded data.
- Designed and implemented a Python ETL pipeline that embedded 5,000+ pages of construction data and electrical diagrams into a Chroma database, allowing clients to receive real-time, position-aware construction knowledge.
- Deployed the application backend using a Flask server, reducing the application's response time by 72.7%.
Undergraduate Research Assistant
August 2024 – May 2025Aggie Research Programs, Texas A&M University · College Station, TX
- Developed Python scripts to analyze 15+ years of agricultural data using NumPy, Pandas, and Matplotlib.
- Implemented and simulated system dynamics models with different methane reduction strategies, reducing methane emissions by an average of 30% across all 3 cattle production systems.
- Integrated 15+ methane reduction strategies into a visualization dashboard showing performance across scenarios.
Things I've built
Tools & technologies
Certifications
Programming Languages
Tools & Frameworks
Libraries
Let's build something
I'm always open to new opportunities, collaborations, or just a good conversation. Drop a message and I'll get back to you.