Szymon Zmyslony is a highly skilled entrepreneur and AI specialist with over five years of experience in technology and startups. Currently serving as a Founder in Residence at Entrepreneur First, he focuses on developing everyday robots. Szymon holds a Master of Engineering degree in Computing from Imperial College London, where he completed a thesis on spatio-temporal predictions using graph neural networks. His previous roles include leading AI agriculture projects at X, the moonshot factory, and founding Buzzarek.com, a farm-to-table marketplace. With expertise in AI development, machine learning, and software engineering, Szymon is actively engaged in building innovative solutions and is currently hiring full-time while seeking co-founders for his projects.

AI tutoring, AI agriculture, logistics, food supply chain

An AI tutoring for engineers with job matching marketplace on top of it.

Data scientist/Machine Learning Engineer with an economics background, skilled in both econometrics and machine learning. Proven track record working with diverse, international teams. Academic interest in ML fairness. Experience developing scalable ML systems.

Applied ML for product decisioning (forecasting, evaluation, experimentation), LLM and real-time voice agent systems (low-latency, observability, safety), and pragmatic full-stack engineering for shipping reliable SaaS. I’m also interested in time-series tooling and MLOps best practices (including OSS work in sktime), plus selective work in digital-asset market microstructure and trading infrastructure. Open to connecting with engineers and collaborators who’ve built production ML/LLM products,

Currently I'm building a voice-first interview practice product, where I design and ship end-to-end features across a React/TypeScript frontend, FastAPI backend, and real-time voice agents (LiveKit + LLM APIs), including production infrastructure (Postgres, Redis, Celery, containerized deployment). Alongside that, I’m tinkering with an industrial monitoring/SCADA-style platform prototype, and a small quantitative trading research projects for alternative digital assets.

I began my professional journey early, starting in software engineering roles focused on Python development. As I gained experience, I naturally gravitated toward data-driven work and transitioned into data science roles. I received my B.Eng. degree in Computer Science from Cracow University of Technology. Currently, I work at Allegro, the largest European home-grown online marketplace, where I focus on building and improving AI and machine learning solutions that deliver real business impact. My work spans large-scale model development, causal inference, and experimentation, helping to drive data-informed decision-making across the organization. Privately, I enjoy doing independent research, learning new languages, and flying as a student glider pilot.

I'm especially interested in generative AI - its applications, infrastructure, and future impact. I’m eager to deepen my skills in building and deploying GenAI systems, from LLM fine-tuning to creative AI use cases. I’m also exploring real-time data pipelines, MLOps, and NLP. Looking to connect with teams or collaborators working on innovative GenAI products or research at the intersection of AI and creativity.

At Allegro, I focus on optimizing PPC ad pricing using machine learning, with an emphasis on maximizing business impact and efficiency. My work also involves conducting causal impact studies to evaluate and enhance our models' effectiveness in real-world scenarios. Outside of my primary role, I develop software solutions for private clients, contribute to research initiatives, and recently published an article on machine learning applications in music analysis.

I am a Machine Learning student at the University of Warsaw and currently a Machine Learning Researcher at Sentinel Eagle, where I develop AI systems for non-GNSS drone navigation. Previously, I worked at NVIDIA in Warsaw on LLM evaluation and automated debugging workflows, at a hedge fund on repository-level unit test generation, and at TSMC on LLM systems and inference optimization. I also completed my bachelor thesis in collaboration with MIM Fertility, applying deep learning to medical imaging. Outside of work, I am a 3-time hackathon winner and a 9-time hackathon awardee/finalist, with distinctions in AI, quantitative finance, and product-building competitions. I also enjoy competitive programming and participated in AMPPZ and CERC.

Machine Learning, AI, Finance, LLMs

Follicle Assessment in the ovary based on its morphology using deep neural networks.

I have a strong background in debates, including Model United Nations, as well as in building company-related websites—interests I developed during high school. Over the past three years, I’ve been pursuing a Bachelor's degree at the University of Warsaw, studying both at Computer Science and Physics departments. This diverse academic path, combined with my earlier experiences, has given me a broad perspective and solid foundation in developing computer science projects.

I am currently focused on building a startup and securing funding through accelerators. At the same time, I have a strong interest in neuroscience-based machine learning research, exploring how these two fields intersect to drive innovation.

I am currently working on an AI model to detect epilepsy in EEG signals. My focus is on replicating and merging various state-of-the-art techniques and research papers in this domain. In parallel, I’m also part of a business accelerator program where I’m developing a system to dynamically manage and optimize energy usage using solar panels and an energy storage magazine.