// Hello, World! I'm
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Full Stack Developer & Data Scientist
Building elegant solutions at the intersection of software engineering and machine learning. Turning complex data into actionable insights and beautiful user experiences.
// About Me
Crafting Digital Experiences
Hi, I’m Sebastian. I’m a software developer who loves building things that actually get used. I started out curious about how technology works, and that curiosity turned into a career focused on creating clean, reliable, and user-friendly applications.
With a strong foundation in both software engineering and data science. Most of my work sits at the intersection of both. I enjoy turning complex ideas into simple, practical solutions. I care a lot about writing code that’s easy to understand, easy to maintain, and built to last.
When I’m not coding, I’m usually experimenting with new tools, contributing to projects, or learning something new just for fun. My goal is to keep getting better at what I do and build software that actually makes a difference.
20+
Projects
4+
Years
Full Stack Development
Building scalable web applications from frontend to backend
Data Engineering
Designing robust data pipelines and architectures
Machine Learning
Creating intelligent solutions with cutting-edge ML models
AI Integration
Seamlessly integrating AI capabilities into products
// Background
Education & Credentials
My academic journey and professional certifications
M.S. in Data Science
St. John's University
- ▹GPA: 3.9/4.0
- ▹Tutor for Computer Science
B.S. in Computer Science
St. John's University
- ▹Dean's List - All Semesters
- ▹Undergraduate Research in NLP
- ▹Honor Society
Professional Certifications
// Career Journey
Work Experience
Building impactful solutions across various industries and technologies
IBM
Research Software Contributor
Worked directly with IBM engineers on the active development of the OSCAL Compass compliance automation toolkit, delivering bug fixes, improving schemas, and enhancing documentation across multiple GitHub repositories.
MediCaddie Technologies LLC
Full Stack Developer
Full stack development of healthcare applications focusing on interoperability and data security. Designed end-to-end architecture using SMART on FHIR and HL7 standards to enable secure clinical data exchange. Led technical onboarding with EHR vendors and healthcare partners to validate OAuth and preview environments.
St. John's University
Computer Science Tutor
I provide drop-in tutoring support for undergraduate computer science courses including Computer Programming Fundamentals, Data Structures, Software Design Methods, and Database Management Systems, while mentoring students on programming projects, algorithm design, and database queries by translating complex technical concepts into clear, approachable learning experiences.
St. John's University
Student Researcher
Conducted research in NLP and machine learning to build an intelligent tutoring system powered by LLMs for personalized Java programming instruction. Developed algorithms to analyze student code submissions, provide real-time feedback, and adapt learning paths based on individual progress, enhancing student engagement and learning outcomes.
// Tech Stack
Skills & Technologies
A curated collection of tools and technologies I use to bring ideas to life
Frontend
Backend
Data Science
DevOps & Tools
> Always learning, always building
// Featured Work
Selected Projects
A showcase of my recent work spanning full-stack development, data science, and machine learning
Featured Project
Codify
An interactive web app that functions as an AI-driven coding tutor and learning platform. The site lets users interact with AI to receive programming lessons, practice exercises, and conversational assistance directly through the interface, with features such as lessons, practice problems, and chats that respond to user input in real time.
VCRTS (Vehicular Cloud Real Time System) is an innovative cloud-based platform designed to manage and monitor vehicle operations in real-time. It's a comprehensive system that bridges the gap between vehicle management and cloud computing, providing both client and server interfaces for real-time vehicle monitoring and management.
A Data Mining project that analyzes and predicts hit songs using a combination of Billboard Hot 100 chart data and Spotify data. This project aims to understand what makes a song successful and predict potential hits based on musical features and historical performance data.
// Let's Connect
Get in Touch
I'm always interested in hearing about new projects, creative ideas, or opportunities to be part of your visions.
GitHub
@sebastiantorrescodes
/in/torres-codes
sebastian.torres.codes@gmail.com
Resume
Download Resume