Othmane Laousy

• AI Research Lead – Lucentia - Health-tech startup based in New York City (13 months) – Led the end-to-end research and development of an AI system for cardiac imaging, including model design, experimentation, and evaluation. – Developed robust Pytorch pipelines (processing, training, APIs) and contributed to production integration. • LLM Engineer – Stealth Law-tech startup (3 months) – Designed and deployed a RAG pipeline (document ingestion, embeddings, retrieval, evaluation) for legal document understanding. – Built modular Python code and APIs for testing and monitoring. • AI Consultant – Euronext - European stock exchange group – Conducted a consulting mission on the deployment of an LLM-based system, including context retrieval strategies and agent logic. – Evaluated cloud architectures and orchestration frameworks (LangChain, ADK-style workflows). – Trained employees on the use of LLMs during workshops. • Instructor – DataRockstars - AI Bootcamp – Taught deep learning, natural language processing and computer vision best practices. – Supervised students in their AI capstone projects.

– Research interests: deep learning, medical imaging, lung cancer, computer vision, immunotherapy, reinforcement learning.

• Worked on Watson Automation a project combining machine learning models, OCR and RPA. • Developed a scalable detection engine for pattern recognition in time-based event streams. • Implemented a chatbot for IBM’s cognitive build competition and was among the top 10 finalists worldwide. • Supervised, for a year, the work of two interns on recommender systems and sequence similarity detection. • Worked on a platform that analyzes location data to gain insight into in-store shopper behavior.

• Built a tool that facilitates the metrics creation process for software engineers ensuring data consistency and reducing time spent on the configuration. • Improved a web application, used by worldwide teams in 8 different countries, that processes large data sets (approx. 3 million rows/day) and gives insight on the performance of the logistics business.

• As a member of the Siri localization team, I developed a tool that parsed and displayed large speech datasets used for the training of the speech to text engine. • Initiated the research and development for Siri in the Arabic language. • Full ownership over building and maintaining a dynamic survey and reporting tool.