MS Computer Science @ CSUF
I work across machine learning, data-driven systems, and full-stack development with a focus on measurable outcomes, elegant interfaces, and production-minded execution.
ML Systems
Applied AI workflows.
Full Stack
React, APIs, UX.
Now Shipping
Live project work.
About
I build AI and autonomy systems with enough product thinking to make the work usable, legible, and ready for real workflows.
Current research
Building a simulated smart assembly cell where mobile robots and a robotic arm learn to coordinate tasks, routes, and schedules using reinforcement learning.
Applied ML impact
Developed TensorFlow autoencoder workflows with CUDA acceleration, improving detection accuracy while cutting training time for faster experimentation.
40%
accuracy lift
DRDO audio anomaly detection
40%
faster training
CUDA accelerated workflows
ROS 2
robotics stack
multi-agent autonomy research
5+
shipped builds
ML, web, and data projects
Education
CSUF
M.S. Computer Science
GPA 3.78
Selected Work
A focused set of shipped work across applied AI, full-stack tools, and user-facing engineering.
GitHub profileBuilt a web application to classify food images with Hugging Face inference, including upload handling and confidence-based prediction output.
Created a cafe discovery app with geolocation, Google Maps integration, and a dynamic UI to improve nearby place discovery.
Designed an advising-focused academic support platform to streamline course guidance workflows and improve student-facing usability.
Built a voice-driven assistant project focused on speech input workflows and practical task automation features.
Live Activity
Pulled from recent public GitHub events plus direct repository commit checks, including this portfolio.
Capabilities
Resume
Download my latest resume for experience, education, technical skills, and project outcomes.
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