I'm Mike Veson, a proud Greek-American Rice University student pursuing Computer Science with a focus on design and entrepreneurship. My family has inspired my passion for community and innovation, inspiring me to build collaborative, user-focused solutions.
Outside the classroom, I'm a die-hard football (soccer) fan and FC Barcelona supporter. The passion and dedication in the sport reflect my approach to coding—I thrive in collaborative environments, working towards solutions that are both innovative and effective.
My focus on front-end development and product design merges technical expertise with aesthetics, allowing me to create intuitive, visually compelling experiences. I'm drawn to spaces where entrepreneurial thinking meets hands-on development, pushing me to innovate and deliver meaningful results.
Looking ahead, I'm eager to keep improving my skills and applying them to projects that drive the world forward. Whether through coding, design, or entrepreneurship, I'm committed to continuous learning and building solutions that leave a lasting mark.
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.
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.
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.
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.
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.
