I'm Mike Veson, a Greek-American Computer Science major at Rice University 🎓 focused on entrepreneurship and health-tech. I grew up inside Veson Nautical, rotating through development, product, and client-consulting roles. Those years taught me how technical decisions translate into commercial outcomes and gave me firsthand experience in the shipping-software space 🚢.
Since high school I've moved between roles: Swift developer, data-science intern, and during the school year—software engineer in residence. This summer I'll be working as a software engineer intern 👨💻 at Parsons Corporation, supporting defense and infrastructure programs. Next semester I'll be studying abroad at Universitat Ramon Llull in Barcelona, taking courses in distributed systems and product design.
As you might have noticed, soccer ⚽ is the thread running through many of my side projects. Most recently, I worked in a three-person ML build 🧠 that distills full-length matches into ten-minute highlight reels, and before that, a Euro 2024 match-predictor that finished in the top 3% of public leaderboards (and won me my fantasy league). I'm a huge Barça fan and you can count on me being at the fan tavern in Houston when there's a game on.
I also study Greek remotely with the University of Athens, maintain conversational Spanish, and will add Catalan next semester. Learning languages and exploring other cultures are part of what keeps me curious and grounded outside of work.
I'm working toward one day launching a company that meaningfully improves patient lives through healthcare innovation. If you're tackling complex problems in health-tech 🏥, finance 💰, big-tech 🖥️ or shipping 🚢 and need someone who can move seamlessly between code, product thinking, and client conversations, feel free to reach out.
Software Engineer Intern
Full-Stack Development for technology-focused defense, intelligence, and infrastructure engineering firm.
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.
