Hi, I'm Jenna Itani

Full Stack Engineer & AI/ML Builder

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About Me

I am a software engineer specialized in full-stack web development. I thrive on creating innovative solutions and bringing ideas to life. I'm interested in all things tech, including ML/AI, UX/UI Design, Cloud Computing, etc.

I recently graduated with a Master of Science in Computer Science from UCLA, and obtained my B.S in Computer Science from California State University, Long Beach in December 2024.

Languages PythonTypeScriptJavaScriptC#SQLC++HTMLCSS
Frontend/Backend ReactNext.jsFastAPIASP.NET CoreNode.jsExpressFlaskREST APIsGraphQLTailwind CSS
Testing/DevOps PlaywrightpytestRobot FrameworkDockerKubernetesArgoCDGitHub ActionsCircleCIJenkinsLinuxCloudflareDatadogGrafanaOpenTelemetry
Data/Tools PostgreSQLMongoDBSupabaseAWS S3PostmanGitJupyter NotebookClaude CodeCodex
AI/ML LLM EvaluationRAGLangChainLangGraphLangfuseRAGASDeepEvalPyTorchTensorFlowHugging Facescikit-learnPandasNumPy

Education

University of California, Los Angeles

Master of Science in Computer Science

9/2025 – 6/2026

California State University, Long Beach

Bachelor of Science in Computer Science  ·  GPA: 3.8/4.0

8/2022 – 12/2024

Cypress Community College

Associate in Science

8/2020 – 5/2022

Relevant Courses: Software Engineering, Web Applications, System Design, HCI, NLP, Machine Learning, Deep Learning and Neural Networks

Honors & Programs

Breakthrough Tech AI Program — UCLA  (5/2023 – 4/2024)
Selected from 1,500+ applicants to participate in a Machine Learning/AI program, including a 9-week course, a Verizon ML/AI fellowship, and a Google Kaggle competition.

Experience

Software Engineer

Intuigence AI

8/2025 - Present

  • - Designed and implemented an AI model evaluation pipeline in Python using LLM-as-a-Judge methods, Google Sheets API, and GitHub Actions to validate outputs, track quality regressions, and share eval results across the AI engineering team
  • - Built an automated regression test suite with pytest, Playwright, and kubectl, integrating validation into GitHub Actions and ArgoCD to reduce manual QA time across deployments
  • - Developed an AI-assisted bug triage workflow that analyzes new Linear issues and generates PRDs and actionable fix suggestions for engineers using Claude Haiku, FastAPI, Kubernetes, and ArgoCD

Frontend Developer Intern

Connectyfi

1/2025 - 3/2025

  • - Created and implemented UX/UI designs for PhD students and faculty networking using Figma, React, Tailwind, and HTML
  • - Participated in design reviews, user testing sessions, and rapid prototyping cycles to ensure optimal user experience

Full Stack Software Engineering Intern

Panasonic Avionics

6/2024 - 10/2024

  • - Added file upload and file management functionality to the Hangar web app to allow third-party developers to build, test, and deploy custom applications for Panasonic Avionics' platforms, using React, .NET, CSS, and HTML
  • - Implemented help ticket system endpoints to allow uploading and downloading attachments, utilizing C# and React
  • - Built a console app for efficient uploading of large files, utilizing a multipart upload approach with C# and AWS S3 libraries
  • - Collaborated with front-end and back-end engineers in Agile sprints to deliver file management and ticketing workflows

Machine Learning Fellow

Verizon

8/2023 - 12/2023

  • - Developed an image similarity tool that, given an image of a phone, mouse, laptop, or headphones, returns the 5 most visually similar images from our dataset, with results matching the device type and color of the query image
  • - Built, trained, and tested YOLOv8 and Image Classification models, using PyTorch, Hugging Face, and NumPy

Projects

Sapient intelligent tutoring app screenshot

Sapient — Intelligent Tutoring Application

Full-stack AI tutoring platform enabling students to upload course materials and generate cited explanations, quizzes, flashcards, and study guidance. Implemented a RAG pipeline with semantic retrieval, reranking, and LLM evaluation workflows to improve document grounding, tutoring quality, and response accuracy.

Tools: React, TypeScript, FastAPI, PostgreSQL/pgvector, Docker, AWS, Cloudflare

Source Code: GitHub  |  Live: sapient-ats.com

FinDash dashboard screenshot

FinDash — Financial Dashboard

Dynamic financial dashboard for business finance tracking, implementing secure API routes and PostgreSQL integration for real-time analytics.

Tools: Next.js, NextAuth.js, TypeScript, React, SQL, PostgreSQL, Tailwind CSS

Source Code: GitHub

EcoStyle shopping recommendation tool screenshot

EcoStyle — Shopping Recommendation Tool

Full-stack Chrome extension applying CLIP-based image embeddings and vector similarity search to recommend more sustainable fashion alternatives.

Tools: TypeScript, React, FastAPI, Supabase, Tailwind CSS

Source Code: GitHub

View more of my work on GitHub

Contact

Interested in collaborating or have an opportunity in mind? Let's chat!

Or email me directly at jmitani4@gmail.com