Hi, I'm Jenna Itani

Full Stack Engineer & AI/ML Builder

Learn More

About Me

I'm a software engineer who works across full-stack development and AI. At Intuigence AI I build LLM evaluation pipelines, automated regression tests, and internal tooling for the engineering team.

I earned my M.S. in Computer Science from UCLA in 2026, after a B.S. in Computer Science from California State University, Long Beach.

Languages
Python TypeScript JavaScript C++ HTML CSS
Frontend / Backend
React Next.js FastAPI ASP.NET Core Node.js Express Flask REST APIs GraphQL Tailwind CSS
Testing / DevOps
pytest Robot Framework Docker Kubernetes ArgoCD GitHub Actions CircleCI Jenkins Linux Cloudflare Datadog Grafana OpenTelemetry
Data / Tools
PostgreSQL MongoDB Supabase Postman Git Jupyter Notebook Claude Code
AI / ML
LangChain LangGraph PyTorch TensorFlow Hugging Face scikit-learn Pandas NumPy

Education

2025 – 2026

University of California, Los Angeles

Master of Science in Computer Science

2022 – 2024

California State University, Long Beach

Bachelor of Science in Computer Science

GPA 3.8 / 4.0

2020 – 2022

Cypress Community College

Associate in Science

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