I'm a CompSci & AI student passionate about web/app development, ML, and robotics. Experienced in startups and eager for new opportunities.
Sep 2025 – Present
Working on simulation models to evaluate the scalability and efficiency of a human-robot interaction system with cryptocurrency-based task rewards.
January 2026 – Present
Leading the quality assurance and strategic direction of startup sourcing activities: ensuring alignment with investment criteria, assessing sourced opportunities, providing pitch feedback, and advancing high-potential opportunities for partner VC firms.
June – July 2026
Developed and trained a Convolutional Neural Network (CNN) to analyze ECG data into 5 distinct diagnostic categories. Redesigned the company website (full-stack) using Next.js and integrated forms with Resend.
June – July 2025
Helped implement multimodal RAG capabilities and image processing pipelines across both backend and frontend, as well as other feature implementations.
June – July 2025
Built the company's second platform from scratch, Rentee Manager Suite, to help property managers organize and analyze their clients' financial data. Responsible for the backend architecture, database design, and frontend user experience.
June 2025
Developed a mobile application for Frontier Diagnostics, a breast cancer diagnostics company specializing in personalized treatments. The app keeps patients informed with key updates like appointments and signing documents, and offers an anonymous social space for support and connection during treatment.
March 2025 – Present
Offering freelance web design and development services for clients seeking high-end, custom websites. I specialize in React and Next.js to build visually compelling, high-converting websites. Recent projects include:
• Developed the frontend and backend for a social media application tailored for climbers.
• Features include post sharing, user profiles, workout tracking, and following other climbers.
• Currently deployed to the Play Store for internal testing, with a full public release planned soon.
• Built a web application that calculates population within travel time isochrones for any location in Europe.
• Interactive map interface with support for walking, cycling, and driving modes with adjustable travel times (5-60 minutes).
• Integrated Eurostat census data (2021) with OpenRouteService API for real-time isochrone generation and spatial analysis.
• Designed and implemented the UI/UX for a travel planning web application using React and JavaScript.
• Developed the backend infrastructure utilizing TypeScript, Supabase, and integrated Amadeus and OpenAI APIs for enhanced functionality.
• Built an agent-based simulation to study human–robot interaction with cryptocurrency-based task rewards.
• Mesa powers the simulation backend; a Solara web interface exposes live controls, wealth trends, battery levels, inequality metrics, and time allocation charts.
• Built a multimodal pipeline to predict film revenue by combining poster embeddings, synopsis embeddings, and structured metadata to train gradient boosting models.
• The largest performance gains came from richer feature engineering, not from model selection.
• Trained a YOLOv8 computer vision model on the Fashionpedia dataset in Google Colab for real-time clothing item identification.
• Integrated the model into a functional website.
• Currently developing a mobile application version.
Built RL agent to play top-down shooter game
IE University startup accelerator for student ventures
Built a learning platform for ADHD students
Startup intensive: built Mappy, a travel planning platform
ML model for wind and solar energy production prediction
Startup intensive: built Carlink, carsharing platform
Out of 81 CS & AI students
I'm a very curious and active person, always looking to get out of my comfort zone, try new things and meet new people. Besides from coding and academics, I love doing adrenaline-rushing sports. Currently I really enjoy climbing, padel and horseriding.













