Hello! I'm Alex Salontai
Explore my diverse skill set and the work experiences that have shaped my career journey over the years.
About Me
Hello, my name is Alex Salontai, and I’m based in Lawrenceville, Georgia.
I am passionate about front-end development, machine learning, and large language models. I thrive under pressure and am dedicated to continuous learning and creative problem-solving. My strong communication skills enable me to lead effectively in group settings, making collaboration a strength of mine.
I am currently pursuing a Bachelor of Computer Science at the Georgia Institute of Technology, where I maintain a perfect GPA of 4.00. I have a solid foundation in data structures, algorithms, and object-oriented programming, which drives my technical prowess.
Beyond my academic and professional pursuits, I enjoy working out, playing games, spending time with friends, reading books, and learning something new every day.
Education
Georgia State University: Aug 2022 - Dec 2023
GPA: 4.28
Accomplishments: Dean's List & Honors College
Extracurriculars: Undergraduate Assistanship Program, Cybersecurity Club, & Programming Club
Relevant Coursework: Linear Algebra, Integral and Differential Calculus, Object Oriented Programming, & Multivariable Calculus
Work Experience
SWE Fellow at HeadStarter: July 2024 - Current
The Software Engineering Fellowship, led by Yasin Eshan and Faizan Ahmed, involves developing five AI projects over five weeks and achieving 1,000 users in the final two weeks. It includes activities like interview prep, team projects, meetups, hackathons, and speaker panels. The roadmap emphasizes front-end skills with React, back-end skills with databases, deployment with AWS, APIs like Stripe, and AI with OpenAI, along with soft skills such as networking and communication.
Technical Skills: Front-end, Back-end, Artificial Intelligence, Deployment, APIs, UI Development
Soft Skills: Networking, Leadership, Team-building, and Communication
Parzr Apprenticeship: Oct 2023 - Current
Worked under Parzr with Andres Avendano to learn front-end technologies. Started with the basics of HTML, CSS, and JavaScript, then progressed to Babel, ES6, Node.js, React, and Vite. Currently, I'm developing a platform for a local airport.
Skills: HTML, CSS, ES6 Javascript, Babel, Nodejs, React, Vite
Hacklytics 2024: Feb 2024
Participated in a data science-focused hackathon presented by Data Science @ Georgia Tech. Gained experience in developing full-stack web applications and fine-tuning a language model to meet product needs.
Front-end Skills: React & CSS
Back-end Skills: Flask & Python
AI Models: Google Gemini & Nous-Hermes-Llama2-13B
Database: Firebase Storage & Firebase Real-Time Database
Deployment: AWS
Georgia State UAP: Jan 2023 - Dec 2023
I participated in the Honors Program at Georgia State through the Undergraduate Assistantship Program, working under Dr. Esra Akbas. My role involved conducting research on machine learning algorithms for detecting malware in Android applications. I developed algorithms using popular models such as SVM and Random Forest. The research was published in a paper authored by Dr. Akbas and a few others.
Technologies: Python, Pandas, Numpy, & Scikit-Learn
ML Algorithms: Logistic Regression, SVM, Naive Bayes, Random Forest, Decision Tree, & K-Nearest Neighbor
Portfolio
WorkoutAI: July 2024 - Current
Developing a Next.js AI chatbot for beginner fitness education, leveraging Retrieval-augmented Generation with OpenAI GPT-4o-mini and text-embedding-3-small integration with Langchain for processing and Pinecone for vector-storing for accurate,context-aware responses. Integrating Stripe for free and paid subscription plans and Firebase for user data management and subscription tracking.
Technologies: Next.js, Firebase, OpenAI, Langchain, Pinecone, Material-UI, & Stripe
Gymnast Jump: Nov 2021 - Dec 2021
Developed a Unity game in a team setting, inspired by Doodle Jump. The game features diverse platforms, power-ups, collectible coins, and multiple levels.
Technologies: Unity Game Development Platform & C#
Weather API: Jan 2024 - Feb 2024
A web application that lets users view a location's temperature, humidity, weather conditions, wind speed, and a three-day forecast.
Technologies: Javascript, React, & TailwindCSS
APIs: GeoDB, weatherapi, & OpenWeatherMap
UAP Project: Jan 2023 - Dec 2023
Collaborated with Dr. Akbas to develop four distinct machine learning algorithms using data from Android apps, including content, descriptions, permissions, and keywords. Employed various vector representations such as keyword arrays, Doc2Vec text embeddings, Node2Vec graph embeddings, and app permissions keywords. The results were featured in a Georgia State research paper.
Technologies: Python, Pandas, Numpy, & Scikit-Learn
ML Algorithms: Logistic Regression, SVM, Naive Bayes, Random Forest, Decision Tree, & K-Nearest Neighbor
To-do List: Jan 2024
A web application that enables users to add, edit, complete, delete, and prioritize tasks.
Technologies: Javascript, React, & CSS
Spotify Wrapped: Mar 2024 - May 2024
Developed an Android application that creatively showcases a user’s listening habits through a slideshow format of their favorite songs. The app also lets users listen to their favorite tracks and utilizes a language model to generate artist recommendations and personality traits based on their music taste.
Technologies: Android Studio, Java, XML, Google Gemini, Firebase, Spotify API, Git, & Figma
Pantry Management: July 2024 - August 2024
Developed a full-stack pantry management application with authentication that allows users to add, adjust, and delete items. Users can search for items and use a camera button with OpenAI GPT-4o-mini to add items via photo.
Technologies: Next.js, OpenAI, Material-UI, Firebase
Contact Me
If you have any questions or would like to get in touch, feel free to reach out via email at afsalontai@gmail.com.
I look forward to hearing from you!