I am an Applied AI professional with experience bridging AI technology, software engineering and business transformation across biotechnology and luxury manufacturing environments.
My work spans applied machine learning, semantic retrieval, LLM-assisted workflows and production backend systems — always with an eye toward translating business needs into technical solutions and driving adoption of data-driven tools.
I am fond of open-source projects & communities and believe shared knowledge makes AI more accessible. I advocate for building systems that are fair, ethical, and sustainable while remaining practical enough to deploy.
Outside work, I enjoy playing and watching football—not just for the game itself, but for how it brings people together, even if just for a short moment.
Nov 2022 - Present
Nov 2020 - Oct 2022
Feb 2023 - Jan 2024
Feb 2020 - Sep 2020
Jul 2018 - Aug 2018
 Msc. in Data ScienceExtracurricular Activities:
Thesis:Highlight, by Video Tracking analysis and Machine Learning algorithms, the movement patterns of an object that influence the chronometric performances of a mechanical subsystem. Main courses:Technical-oriented coursework which covered areas such as Statistics, Applied Data Analysis, Machine Learning, Artificial Neural Networks, and Database Systems. Completed a Minor in Management, Technology and Entrepreneurship (MTE), encompassing courses in Financial Markets, Econometrics, Project Management and Supply Chain. The educational journey combined in-depth technical skills with business acumen and management principles. | ||
Bsc. in Communication Systems & Computer ScienceExtracurricular Activities:
Research Semester Project:Voice frequency analysis of instructors and its effect on MOOC Viewer Retention Main courses:Technical coursework focused on computer science fundamentals such as data structures, algorithms, networking, and security, alongside programming in languages like JAVA (Object Oriented Programming), C (System Oriented Programming), and Scala (Functional Programming). A strong emphasis was placed on mathematical foundations with courses in Calculus, linear algebra, statistics, and signal processing Pursued an optional track in Visual Computing, focusing on C++ and OpenGL. |
Production-minded Retrieval-Augmented Generation assistant over a Swiss wealth-management knowledge base.
Full-stack implementation with FastAPI, React, ChromaDB, OpenAI embeddings and LlamaIndex — featuring semantic retrieval, source-grounded answer generation and metadata-driven document filtering.
AI-powered match day presenter that fetches real-time football news, summarizes it and delivers it as speech.
Built with multi-agent coordination across Gemini, Reddit MCP and Eleven Labs MCP.
From scratch PyTorch implementation of the original transformer paper. Briefly explain how it works through a sentence-to-sentence translation task example with English to Spanish.
Lock-free, multi-process Python implementation of the Hogwild! sparse-SVM algorithm.
Demonstrates data-parallel stochastic gradient descent across CPU cores without locking.
Comprehensive and educational analysis of investment strategies using the performance metrics of GAFAM stocks.
Evaluates an active strategy using Moving Average Convergence Divergence (MACD) for trading signals and a passive dollar-cost averaging (DCA) benchmark with the SPDR S&P 500 ETF Trust (SPY).
Restore images with centrally masked areas using generative models to accurately predict and reconstruct missing parts.
Post-GAN training, the discriminator and generator collaboratively produce high-quality image samples using continuous gradient-based updates to the activation maps until the samples are classified as real by the discriminator.
Google Chrome extension to automatically track and close inactive tabs, making the browsing experience lightweight.
