Drawing on an extensive background in machine learning and artificial intelligence, my career reflects a consistent trajectory towards innovation and leadership in the AI space. As an adept Machine Learning Engineer, I've transitioned seamlessly across roles that demanded both deep technical expertise and strategic oversight, from Generative AI Scientist to Lead Data Scientist at premier organizations in Paris.
My proficiency spans a wide array of technologies and methodologies, including Python, Deep Learning, Cloud Computing, and Generative AI, underscoring my ability to not just participate in, but also shape the future of AI-driven solutions. Noteworthy contributions include the implementation of RAG-based ChatBots in healthcare, the development of scalable product similarity algorithms for over 2 million products, and the design of Graph Neural Network-based Recommender Systems, highlighting my knack for leveraging AI to address complex business needs effectively.
At the core of my professional philosophy lies a commitment to problem-solving, collaboration, and continuous learning. This ethos has guided me through various projects that required the integration of advanced AI technologies, such as using Hugging Face models and orchestrating tools like LangChain and LlamaIndex, to enhance generative AI applications. My role in deploying machine learning projects across sectors has not only showcased my technical acumen but also my leadership in mentoring budding data scientists and developers, emphasizing my belief in the collective growth of skills and knowledge.
Equipped with a Master of Science in Computer Science from New York University, alongside certifications in Neural Networks, Generative AI, and NLP, my educational background solidifies my theoretical understanding and practical application of AI principles. Fluent in English, French, and Spanish, I bring a global perspective to local challenges, making me a valuable asset to teams operating across diverse geographical and cultural landscapes.
In seeking new opportunities, I am enthusiastic about leveraging my accumulated experience to contribute to pioneering AI initiatives. My career encapsulates a blend of technical mastery, strategic insight, and a forward-looking approach to AI, positioning me as an ideal candidate for roles that demand innovation, leadership, and a deep understanding of AI's transformative potential.
๐ Nationality | ๐ซ๐ท France |
๐ก Residency | ๐ซ๐ท France |
๐ Location | ๐ซ๐ท France |
Remote OK | rok.co/@pierre_de_lacaze |
GitHub | delaray |
https://www.linkedin.com/in/pierre-de-lacaze-b11026b/ | |
Skilled in | generative ai llm rag deep learning machine learning nlp knowledge representation python clojure scala js sql cypher common lisp pandas tensorflow pytorch scikit learn nltk spark ml hugging face langchain postgresql big query vector dbs neo4j elasticsearch s3 hive linux windows github bash gcp vertex ai aws sagemaker kafka docker kubernetes github actions vault jfrog turbine jenkins oop functional programming agile scrum kanban jira |
Fluent in | frenchenglishspanish |
Preferred annual pay (min) | $120,000/year |
Preferred hourly pay (min) | $100/hour |
Last seen | 7 months ago |
Signed up | 7 months ago |
Badges |
๐จ Maker ๐ Early adopter |
2109 - 2020: Principal Data Scientist @ Ayolab
2023 - Now: Generative AI Scientist @ Self-Employed
2022 - 2023: Lead Data Scientist @ Adeo
2020 - 2022: Principal Data Scientist @ CXUnified
2017 - 2019: Director of Artificial Intelligence @ InSuite
2015 - 2017: Director of Machine Intelligence @ Shareablee
1991 - 1993: Master of Science @ New York University
1982 - 1987: Bachelor of Science @ University of Rochester