Hello, I'm Fulati Aizihaer

Full-Stack Developer

I'm a senoir Computer Science and Linguistics student at UCLA looking for Software Engineer roles in Full-stack Development.

About Me

I'm a Computer Science and Linguistics student at UCLA with a passion for exploring the fascinating intersection of technology and human language. My academic journey has taken me through diverse learning environments, from community college to prestigious universities.

Currently pursuing my Bachelor's degree, I'm a software engineer with a strong interest in natural language processing and machine learning.

Skills

Programming Languages

Python Java JavaScript C++ SQL NoSQL (MongoDB) HTML CSS

Frameworks & Libraries

React Node.js Flutter Selenium JUnit Pandas NumPy Scikit-learn Matplotlib Seaborn

Tools

Firebase Git GitHub Jenkins Postman REST Assured Salesforce Jira Confluence

Software Development

Agile Scrum CI/CD Pipelines Test-Driven Development (TDD)

Education

Bachelor of Science in Computer Science and Linguistics

University of California, Los Angeles

Sep 2023 - Dec 2025

Studying how computers and language connect—through a unique blend of programming, algorithms, and linguistic theory. I'm especially focused on natural language processing and how technology can better understand and work with human communication.

Machine Learning Foundations e-Certificate

Cornell University - Break Through Tech

August 2024

Completed intensive program covering fundamental machine learning concepts, algorithms, and practical applications in real-world scenarios.

Associate Degree Coursework

Diablo Valley College

Sep 2021 - May 2023

Completed foundational coursework in mathematics, computer science, and general education requirements. Built strong academic foundation for transfer to UCLA.

Professional Experience

Software Engineer Intern

Medtronic

June 2025 - September 2025
  • Developing features for Medtronic's Diabetes mobile application using JavaScript and Flutter/Dart, and designing automated testing pipelines with Jenkins, Appium, and Android Studio to ensure high-quality releases.

Software Engineer Intern

American Honda Motor

January 2025 - May 2025
  • Led development of the Honda SmartCharge EV site using JavaScript in Salesforce Experience Cloud, creating a responsive, API-integrated interface that enhanced engagement for 50,000+ EV owners.
  • Integrated Honda dealership APIs using Server-Side JavaScript to personalize user flows for 500+ dealerships, boosting lead conversion by 20%.
  • Collaborated with cross-functional teams (Business, UX, QA) to implement Agile Scrum practices, reducing the feature delivery cycle by 75% through iterative sprints and daily standups.

Machine Learning Engineer Intern

GumGum

August 2024 - December 2024
  • Improved in-video ad targeting by training a multi-label classification model on 20K+ video transcripts, increasing label precision by 18% and recall by 12%.
  • Eliminated 90% of manual QA workload by automating dataset validation using GPT-4o-generated prompts for scalable label correction, reducing human error and accelerating retraining by 50%.
  • Fine-tuned a BERT transformer on ad-context data, achieving a 37% F1 Micro and 28% F1 Macro score, surpassing the baseline by 22%.

Founding Software Engineer

CollegeNav.org

March 2024 - Present
  • Built and launched CollegeNav.org, a web platform supporting 100+ first-generation students with curated college and career opportunities, developing core features using React.js and Firebase.
  • Designed and implemented structured data models in Cloud Firestore to manage user profiles and program listings, enabling real-time updates and ensuring platform scalability.
  • Enhanced user experience by developing dynamic filtering and search across 300+ listings, improving task completion efficiency and engagement based on direct user feedback.

Software Engineer Intern

Cydeo

September 2023 - July 2024
  • Enhanced test coverage for a custom CRM platform by developing automated test frameworks in Java and Selenium, increasing coverage from 55% to 85%.
  • Improved defect detection by creating REST Assured and JDBC test suites for validating API and database endpoints, uncovering 30% more bugs before UAT.
  • Implemented CI pipelines in Jenkins with nightly regression testing, reducing manual testing by 30% and improving deployment reliability to 95% through integrated CI/CD workflows.

Featured Projects

NoBS Fitness App

NoBS

Developed a fitness task manager for solo and group workouts using React.js, Node.js, and MongoDB. Implemented real-time collaboration and secure access with Google OAuth 2.0 and live progress updates.

React.js Node.js MongoDB Google OAuth NodeMailer

Airbnb Price Prediction Model

Developed a pricing model using Linear Regression and Random Forest to estimate Airbnb listing prices. Improved prediction accuracy by 10% and reduced RMSE by 20% through feature engineering and tuning.

Python Pandas NumPy Scikit-Learn
Algorithm Sorting Visualizer

Algorithm Sorting Visualizer

Engineered an interactive application to visualize various sorting algorithms using JavaScript. Integrated user controls for sorting speed and array length, improving the educational value and experience.

JavaScript HTML/CSS Algorithms
Emotion Detector

Emotion Detector

Created a React-based web application for real-time face tracking and emotion detection. Achieved enhanced accuracy and performance by leveraging the face-api.js library.

React.js CSS face-api.js
Amazon Price Tracker

Amazon Price Tracker

Engineered a TypeScript application utilizing Bright Data for efficient web scraping. Leveraged MongoDB to store and manage scraped data, and implemented automated email alerts for price drops with real-time insights into Amazon product price fluctuations.

TypeScript Next.js MongoDB Bright Data
Online Chat Room

Online Chat Room

Constructed an online chat application using React and Node.js, enabling users to create chat rooms and engage in real-time conversations. Integrated the GetStream API to facilitate user login, multimedia sharing, and direct messaging features.

React.js Node.js GetStream API

Get In Touch

Let's connect

I'm always interested in discussing opportunities in computational linguistics, machine learning, and interdisciplinary research. Whether you have a question about my work or want to explore potential collaborations, feel free to reach out!

faizihaer@gmail.com
Los Angeles, CA