IASON SOMOGLOU
ABOUT THE PROGRAM
Greetings, User. I am an AI developer and Machine Learning engineer currently pursuing a BSc in Artificial Intelligence at Vrije Universiteit Amsterdam, with a Minor in Deep Learning.
My programs have been running in the real world since 2022 — at Tesla, SkillLab.io, EY, and Martech Tribe — solving complex problems in NLP, ML pipelines, transformer architectures, and intelligent systems.
I was recognised by Forbes 30 Under 30 Greece, hold a patent for an assistive cane, and came 1st place both nationally and globally at the Robotics Competitions — some of the world's largest global robotics competitions (WRO,FGC, etc.).
COMBAT HISTORY
TESLA
MAR 2025 – NOV 2025Deployed end-to-end NLP/ML pipeline for vehicle diagnostics. Trained transformer-based models and sentence embeddings for semantic search and intent classification. Containerised services with FastAPI & Docker.
SKILLLAB.IO
APR 2024 – MAR 2025Developed replication recommender systems using BERT models and cosine similarity. Identified bugs in production systems, upgraded libraries, and streamlined CI/CD with GitHub and Jira.
EY (ERNST & YOUNG)
JUN 2023 – AUG 2023Developed an evaluation framework for large language models, benchmarking performance across business domains and client-specific requirements.
MARTECH TRIBE
SEPT 2022 – SEPT 2023Implemented proprietary algorithms for vendor matching using SVMs, BERT, and Deep Neural Networks to optimise operational efficiency.
TRAINING PROTOCOLS
VRIJE UNIVERSITEIT AMSTERDAM
LOADED MODULES — CLICK TO EXPAND
PROGRAM PARAMETERS
ML / AI
LANGUAGES
FRAMEWORKS & LIBRARIES
TOOLS & PLATFORMS
EXECUTED PROGRAMS
Deep-Q Learning for Schnapsen
Developed a custom DQN agent using PyTorch for discrete action spaces. Built a reinforcement learning environment with self-play, experience replay, and Huber loss optimisation.
Spectral LoRA
Developing a novel fine-tuning method that adapts Low-Rank Adaptation (LoRA) across transformer layers according to each layer's intrinsic dimensionality. By applying Singular Value Decomposition to measure stable rank, the method allocates variable LoRA ranks per layer — achieving more efficient fine-tuning while deepening understanding of how transformer models represent information. Sits at the intersection of applied ML and theoretical insight, reflecting a move from engineering systems to research-informed development.
Blue Origin New Shepard Capsule
Mechanical Design & Programmer · Texas, USA
Designed and developed a sealed capsule that successfully conducted viscosity measurements while in low orbit, as part of the ACS Athens team's microgravity experiments inside Blue Origin's New Shepard capsule — launched in both May 2019 and December 2019. Collaborated with the team to analyse and publish a scientific article detailing the process and results of the experiments, showcasing the contributions to the scientific community.
International Robot Olympiad
Coach · Seoul, South Korea
Led the team to an Olympic gold medal at the International Robot Olympiad in Seoul, South Korea, providing guidance on technical design, programming, and problem-solving skills — ultimately leading to a patented innovation.
Boeing Summer Coding School
C++ Teacher · Brussels, Belgium
Partnered with programme staff to devise and execute highly effective lesson plans tailored to individual student needs. Tracked and evaluated student progress to ensure seamless curriculum enhancement throughout the coding school.
International Youth Science & Technology Expo
Programmer & Presenter · Shanghai, China
Contributed to a project that won 1st place in all three categories at the International Youth Science and Technology Expo — including the People's Choice Award and the Student Scientific Award. Developed an LSTM algorithm for electricity price prediction and a news-article scraper to detect chaotic price events, driving the team's outstanding performance and recognition at the Expo.
OFF-GRID ACTIVITIES
OPEN CHANNEL
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