Summary
Aymane Hachcham is a Senior Research Engineer and applied data science practitioner with 8 years of experience building production-grade ML systems across academia and industry. He has delivered scalable pipelines and cloud-native deployments—from federated learning for autonomous vehicles to LLM-powered biomedical data-mining platforms—improving throughput and latency while maintaining CI/CD best practices. Skilled in NLP, computer vision, predictive analytics and data engineering, he’s repeatedly moved models from research to production using AWS, Docker, FastAPI and modern retrieval-augmented IR techniques. At Pangea Bio he engineered an LLM/agent-driven SaaS that extracted millions of relationships from unstructured sources, and at Bosch he fine-tuned Llama v2 into a real-time smart assistant for high-concurrency applications. Based in Zurich, he combines academic research roles with hands-on MLE experience (including Amazon) and a proven track record of optimizing large-scale data workflows. Beyond models and metrics, Aymane emphasizes robust, testable code and fault-tolerant architecture to ensure research ideas become reliable products.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at TU Dortmund University
Baccalauréat Espagnole en Sciences Mathématiques Baccalaureate in Mathematical Sciences, Baccalauréat Espagnole en Sciences Mathématiques Baccalaureate in Mathematical Sciences at Spanish Institute Juan Ramon Jimenez
State Engineering Diploma Computer Software Engineering, State Engineering Diploma Computer Software Engineering at Laureate Education, Inc.
French, Spanish, Arabic, English