Summary
Marin Bouthemy is a data scientist and software engineer with eight years of experience building cloud-agnostic, production-ready ML systems and microservices. He has practical end-to-end expertise deploying models and pipelines with Kafka, Kubernetes (Helm), FastAPI, and GitLab CI/CD across AWS and Azure. At SCOR he led an OCR and NLP microservices project combining Tesseract fine-tuning, Spacy/Flair entity recognition, and a React/Next.js frontend, and he now applies similar skills at Terrascope. His background includes operations optimization with MIP modeling at BCG Gamma and deep learning research in quantitative finance, reflecting strong mathematical foundations from Ensae ParisTech and Mines. Comfortable across Python, Rust, Next.js and cloud-native tooling, he blends model development with scalable engineering and product-facing delivery. Based in Singapore, he maintains a public portfolio of projects and write-ups that reveal a pragmatic focus on deployability and cross-cloud resilience.
8 years of coding experience
4 years of employment as a software developer
French Grandes Écoles - MSc in Computer Science, French Grandes Écoles - MSc in Computer Science at École des Mines de Saint-Étienne
Postgraduate Exchange Student at The HKUST, Hong Kong, MSc in Big Data, Postgraduate Exchange Student at The HKUST, Hong Kong, MSc in Big Data at 香港科技大學
Master of Science (MSc), Mathematics and Computer Science, Master of Science (MSc), Mathematics and Computer Science at Ensae ParisTech
Prep School for the selective French Grandes Écoles, Prep School for the selective French Grandes Écoles at Lycée Chateaubriand
English, French, Chinese