Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Machine Learning Engineer focused on building large-scale AI systems, evaluation frameworks, and agentic LLM solutions for industrial use. I work end-to-end from research to production, grounding models in real data and measurable benchmarks. I hold an ETH Zurich Data Science MSc and a strong foundation across computer science and mathematics, with experience spanning transformer/ML baselines, LLM-based methods, and applied ML research in domains like robotics, hydrology, and spectra classification.…Machine Learning Engineer focused on building large-scale AI systems, evaluation frameworks, and agentic LLM solutions for industrial use. I work end-to-end from research to production, grounding models in real data and measurable benchmarks. I hold an ETH Zurich Data Science MSc and a strong foundation across computer science and mathematics, with experience spanning transformer/ML baselines, LLM-based methods, and applied ML research in domains like robotics, hydrology, and spectra classification.

Yanis Merzouki

AI Engineer, Data Scientist, AI Developer, +1





Machine Learning Engineer focused on building large-scale AI systems, evaluation frameworks, and agentic LLM solutions for industrial use. I work end-to-end from research to production, grounding models in real data and measurable benchmarks. I hold an ETH Zurich Data Science MSc and a strong foundation across computer science and mathematics, with experience spanning transformer/ML baselines, LLM-based methods, and applied ML research in domains like robotics, hydrology, and spectra classification.…Machine Learning Engineer focused on building large-scale AI systems, evaluation frameworks, and agentic LLM solutions for industrial use. I work end-to-end from research to production, grounding models in real data and measurable benchmarks. I hold an ETH Zurich Data Science MSc and a strong foundation across computer science and mathematics, with experience spanning transformer/ML baselines, LLM-based methods, and applied ML research in domains like robotics, hydrology, and spectra classification.

Available to hire

Machine Learning Engineer focused on building large-scale AI systems, evaluation frameworks, and agentic LLM solutions for industrial use. I work end-to-end from research to production, grounding models in real data and measurable benchmarks.

I hold an ETH Zurich Data Science MSc and a strong foundation across computer science and mathematics, with experience spanning transformer/ML baselines, LLM-based methods, and applied ML research in domains like robotics, hydrology, and spectra classification.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

French

Fluent

Work Experience

Machine Learning Engineer at Forgis

February 1, 2026 - Present

Designs and implements a large-scale industrial AI benchmark (FactoryBench) with 70k+ Q&A pairs to evaluate machine understanding across perception, diagnosis, prediction, and recovery tasks, grounded in real robot sensor data and simulation. Implements baseline models and evaluation frameworks (Transformer, classical ML, and LLM-based methods) for anomaly detection, root cause analysis, and counterfactual prediction. Develops an agentic architecture for LLM engineering and helps drive performance on FactoryBench with reported improvements (up to +89.6%).

Machine Learning Engineer at WSL Institute for Snow and Avalanche Research SLF

May 1, 2025 - September 1, 2025

Builds and maintains research project code. Finds and reads literature on complex deep learning models and implements them to address research problems (e.g., multi-frequency LSTM) in hydrological simulation and prediction. Research improves water level prediction compared to physics-based models and vanilla LSTM.

Machine Learning Engineer at Arvo AI

August 1, 2024 - October 1, 2024

Implements machine learning techniques to enhance functionality of the Bridge app, optimizing backend processes for better efficiency and clarity. Collaborates cross-functionally to integrate ML models into the app architecture and enhance them with temporal awareness capabilities.

Machine Learning Research Assistant at Qatar Computing Research Institute (QCRI)

May 1, 2023 - July 1, 2023

Develops AI models to differentiate between Raman spectra of different types of bacteria using PyTorch. Achieves 95+% classification accuracy by optimizing model architecture and applying data augmentation. Streamlines data processing pipelines.