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Education

MS, Computer Science, UC Davis (GPA 3.83)

Sep 2025

BS, Computer Science, CSU Stanislaus (GPA 3.92)

May 2023
Skills
Languages: Python, Java, JavaScript, SQL
Frameworks: Flask, Django, Next.js
Cloud/DB: Azure (Cosmos DB, Data Lake Gen2, AD B2C)
Tools: Docker, Kubernetes, GitHub Actions
Work Experience

University of California Davis

Teaching Assistant (ECS 140A, ECS 036C, ECS 050)
  • •Selected as the recipient of the 2025 CS Teaching Assistant Excellence Award from a pool of 50+ TAs for outstanding instruction and mentorship.
    • Oct 2023 – Jul 2025Davis, CA
  • •Engineered and deployed Python-based autograders for assignments, reducing manual grading time by 90% and providing students with real-time feedback.
  • •Authored and presented weekly technical lectures and live coding demonstrations to over 100 students on complex topics, including concurrent programming in Java/Erlang, functional programming in Haskell, and low-level systems in RISC-V/x86.

    • University of Nebraska-Lincoln (UNL)

    Computer Vision Engineering Intern
  • •Engineered and trained a YOLOv5-based neural network with Darknet for real-time object detection on a resource-constrained autonomous UAV, achieving 93% Mean Average Precision (mAP) on a custom dataset.
    • May 2022 – Aug 2022Lincoln, NE
  • •Optimized control algorithm to process model outputs and autonomously navigate a UAV, decreasing target acquisition latency by 30% compared to the previous system.
  • •Led high school outreach workshops for Nebraska College Preparatory Academy (NCPA) and Girls Code Lincoln.
    • Projects

    FormFixAI

    Tools Used - Multiple Microsoft Azure Services, Flask, Python, MediaPipe, Gemini
  • •Built a scalable Azure web app analyzing user‑uploaded workout videos for form correction using MediaPipe pose estimation and custom AI pipelines.
    • 2025
  • •Implemented Azure AD B2C OAuth for Microsoft account sign‑on to streamline secure authentication and onboarding.
  • •Architected hybrid storage with Azure Cosmos DB (low‑latency profile access) and Data Lake Storage Gen2 (efficient video asset management).

    • Cat Classifier

    Tools Used - Next.js, Tensorflow.js
  • •Designed and deployed a web application featuring a custom-trained cat breed classification model.
    • 2025
  • •Optimized the model for client-side inference, enabling efficient breed identification within the user's browser and minimizing latency.
  • •Integrated MongoDB as the database solution to store and manage user image data and classification history.

    • UC Davis Master's Project (pcaptracker.site)

    Tools Used - Flask, Scapy, MatPlotLib, WireShark, Apache
  • •Built a web app to process a PCAP file and a target IP, generating interactive graphs and maps that visualize the IP’s external network interactions.
    • 2024