Hi, my name is Tyler Hirn
I build awesome software things
01. About Me
A Software Engineer with a double degree in Psychology specialized in machine learning, data analysis, as well as project design with a side specialty in designing and building user experience for the web, ios, and android platforms. Currently focusing on bridging the gap between Psychology and Technology by developing a App that uses SVC, NLP, and NN Machine learning models to predict users mood and provide personalized music recommendations.
02. Skills
Here are a few technologies I've been working with recently:
- Flutter
- Python
- Tableau
- Google Cloud
- Pandas + Excel
- HTML / CSS / JavaScript
02. Where I've Worked
Software Engineer @ Core Music LLC
May 2023 - Present, Atlanta, GA
- Drove a 20.49% profit increase over 5 months for Rant-N-Rave Jewelry through optimized marketing and inventory management using Excel and Tableau. Developed a reliable UX dashboard for quick inventory testing, utilizing Python for efficient data transformation.
- Created a fully integrated website attracting over 1 million dollars in direct investments to Organos Inc. biotech company. Prioritized communication with client requirements to maximize potential investors.
- Designed and pitched a framework for integrating online e-commerce through Shopify and online marketing for a multi-million-dollar retail chain. This integration plan aimed to increase sales by 34% by introducing an online storefront and optimizing manpower and profitability.
- Regularly addressed production bugs and improvements in Google Cloud Pipelines for hosted ML services, including maintaining a live notification system connected to Apple for monitoring and securing app purchase transactions.
Software Engineering Internship @ CWS
January 2021 - August 2022, Auburn, AL
- Developed an internal football ticketing system as the sole developer, supporting $100,000+ in ticket sales annually through payment processing integration using HTML, JavaScript, and CSS with C# (.Net).
- Recognized by Governor Ivey for developing a data-centric student elections dashboard for over 35,000 students, incorporating real-time data analytics and insights using Chart.js and SQL integration.
- Pioneered an Aerospace alumni website for over 25,000 alumni at Auburn University, including an email hub and administrative controls for managing new applicant approvals and rejections.
- Led the onboarding and mentorship of new interns, enhancing team capabilities and demonstrating leadership. Managed a team of 4 software engineers in designing SQL databases and utilizing Azure Pipeline for project integrations.
- Collaborated directly with QA and Business Strategy departments to align software solutions with customer requirements and concerns, aiming to enhance customer retention.
- Utilized DevOps practices and SQL-based error logging to monitor and debug production systems effectively, employing queries and dashboards for operational insights.
Director of Housing Operations @ Delta Chi at Auburn University
January 2019 - January 2021, Auburn, AL
- As Director of Housing Operations, reduced the time required to assign 50 chores weekly from 1 hour to 5 minutes by creating a chore schedule generator.
- Lead a group of more than 10 and designed multiple furnishings for the house while staying under budget and increasing in-house interactions.
- Cut costs by 23% across the board for household supplies.
Founder @ Tech Kid
May 2011 – August 2018, Alexander City, AL
- At age 12, showcased technical sales expertise by founding a venture, earning $618.12 profit from concierge and tech setups.
- Produced $2,546 in commissions in real estate videos for Legacy New Homes, contributing to successful home sales.
03. Some things I've built.
Core Music
An application that combines advanced Machine Learning techniques with Natural Language Processing to enhance personal journaling experiences with integrated personal music recommendations reflecting their journal sentiment. Check it out!
- Implemented Natural Language Processing (NLP) to analyze user journal entries, effectively extracting the underlying sentiment.
- Developed a recommendation system, leveraging the sentiment data to personalize user experience.
- Integrated Spotify API to fetch user's music data, creating a personalized pool of music.
- Designed and implemented a Gradient Boosting (XGBoost) model to analyze the audio features of songs, predicting their mood context.
- Utilized XGBoost outcomes to match user's sentiment with mood-based music, enhancing music recommendations.
Skills:
- Machine Learning
- Natural Language Processing
- XGBoost
- Spotify API
- Python
Spotify Usage Dashboard
In today's digital age, music streaming platforms like Spotify have become an integral part of our
daily lives. This project delves into personal Spotify data to uncover intriguing insights into
listening habits. Using Tableau, the dashboard visualizes various metrics such as total time played,
favorite artists, and track preferences, providing a comprehensive view of music consumption
patterns.
This analysis not only showcases my proficiency in data visualization but also underscores the value
of personal data in understanding user behavior and preferences.
View the Dashboard
Skills:
- Tableau
- Excel
- Data Visualization
- Data Analysis
In today's digital age, music streaming platforms like Spotify have become an integral part of our daily lives. This project delves into personal Spotify data to uncover intriguing insights into listening habits. Using Tableau, the dashboard visualizes various metrics such as total time played, favorite artists, and track preferences, providing a comprehensive view of music consumption patterns. This analysis not only showcases my proficiency in data visualization but also underscores the value of personal data in understanding user behavior and preferences.
Skills:
- Tableau
- Excel
- Data Visualization
- Data Analysis
Core
An app that combines machine learning and natural language processing to help you find patterns in
your mood.
Skills:
- Flutter
- FireBase Firestore
- TensorFlow
- Custom SVC models
- Excel + Pandas
An app that combines machine learning and natural language processing to help you find patterns in your mood.
Skills:
- Flutter
- FireBase Firestore
- TensorFlow
- Custom SVC models
- Excel + Pandas
04. What's Next?
Get In Touch
Currently I am looking for opportunities that benefit human wellbeing, especially those related to machine learning, Psychology, and data analytics. Whether you just want to say hi, or have a question or collaboration, I will always try my best to get back to you!
Say Hello