I'm Mike Veson, a Greek🇬🇷-American🇺🇸 Computer Science major at Rice University 🦉 who loves building things that make life easier. I grew up around shipping software 🚢 and learned early how tech can transform industries and power products that people rely on.
I'm a fast learner, I break down big problems into clear steps, and always put users first. I've worked everywhere from shipping software to defense, usually in software engineering, product, and client-facing roles. My primary technical skillset spans Mobile, Web, Backend, and Data Engineering, but I'm always learning new skills and pushing myself to take on new challenges.
Outside of CS, I love soccer ⚽ (or football, wherever you're from). It's been a life goal of mine to understand players and teams better through data. I've built analytics tools, highlight generators, and reached the top 3% in Euro 2024 predictions. I'm also studying abroad in Barcelona this Fall, where I'll keep exploring new cultures while improving my Greek and Spanish.
Long-term, I want to build products that meaningfully help people at scale. If you're working on challenges in big tech 🖥️, finance 💰, shipping 🚢, or any space where fast learners who connect customer needs to fast output are valuable, let's connect.
Software Engineer Intern
Developed and improved services in C#/.NET that integrated external APIs with SQL databases and AWS infrastructure, powering Power BI dashboards for Air Force users.
Software Engineer in Residence
Led full-stack software solutions at Lilie, implementing robust front-end and back-end systems to foster innovation among Rice University students. Focused on scalable architecture, streamlined user experiences, and mobile integration to meet diverse user needs.
Software Engineering Intern
Created automated laytime calculations using Google Document AI, drastically cutting multi-day manual processes to minutes. Collaborated with major clients to refine shipping workflows, ensuring accurate demurrage cost calculations and maritime compliance.
Data Science Intern
Developed advanced NLP solutions using BERT sentence transformers, accurately categorizing over 100,000 contact job titles. Optimized directory merging with FAISS-based similarity searches, boosting match precision by over 20%.
Software Development Intern
Helped build Veson Nautical's first mobile app in Swift, providing real-time shipping data to enterprise clients. Gathered feedback in sprints, integrated changes quickly, and ensured a smooth user experience throughout development.
HiLiTe
Developed a machine learning pipeline that transforms full-length soccer matches into engaging highlight reels with AI-generated commentary. Led the commentary generation stage using BLIP-2 vision-language models to analyze key moments and produce natural, sports-style descriptions. Implemented frame extraction, visual context processing, and integration with language models to create dynamic soccer commentary.
Personal Portfolio
Designed and developed a full-stack personal portfolio using Next.js, TypeScript, and Tailwind CSS, showcasing projects, experience, and skills. Integrated dark mode, smooth animations with Framer Motion, and accessibility enhancements for an optimized user experience.
Euros 2024 Predictor
I developed a machine learning project to predict outcomes for Euro 2024 matches by web scraping comprehensive datasets and processing them with Pandas. Using a RandomForestClassifier, the model forecasts expected goals and final scores, landing in the top ~3% of UEFA predictions.
Momentum
Momentum is a SwiftUI-powered iOS app that captures and transcribes audio in real-time, integrates advanced Text-to-Speech, and leverages OpenAI's GPT-4 to process voice commands for tasks like reminders, calendar events, and to-do lists. The adaptive TTS system ensures low latency and seamless speech output, optimizing response quality through predictive modeling.
BB&N's Knight Life
I developed and launched BB&N's Knight Life, a mobile app that streamlines school scheduling for Buckingham Browne & Nichols School. Built in Swift with an intuitive interface, the app quickly gained traction—over half of the high school students adopted it and it earned a 4.9-star rating on the App Store.
