Hi, I'm Jean-Michel A. Sarr - Research Engineer at Google
I am driven by the challenge of making AI accessible and effective across languages. I thrive in research-heavy, fast-paced environments where I can translate complex data science into meaningful engineering.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Contributed to academic research and deep learning instruction while interning at IRD and lecturing in Dakar.
Currently accelerates Gemini development as a Research Engineer at Google with a focus on multilingual model performance.
Can assist teams in optimizing LLM training pipelines and developing robust multilingual datasets for global applications.
🚀 Career trajectory
Academic Foundation
Established deep roots in machine learning research through internship work at IRD.
✦ Research
✦ Academia
Teaching and Research
Transitioned to lecturing deep learning while advancing technical methodologies at the university level.
✦ Lecturing
✦ Deep Learning
Industry Scaling
Accelerated into a Google Research Residency, evolving into a key Research Engineer for Gemini.
✦ Big Tech
✦ Generative AI
💪🏻 Superpowers
Multilingual AI Architect
Engineering global-scale language solutions
✦ Architected multilingual datasets for Gemini across 25+ languages.
✦ Optimized model performance on high-stakes LMSYS benchmarks.
✦ Synthesized academic rigor with scalable product engineering.
Empirical Research Strategist
Turning data into breakthrough insights
✦ Deployed sophisticated hypothesis testing for deep learning models.
✦ Applied statistical methodologies to refine neural network accuracy.
✦ Validated complex data science models through systematic experimentation.
Technical Knowledge Catalyst
Bridging research theory and practical application
✦ Mentored aspiring researchers in deep learning fundamentals.
✦ Transformed complex research papers into accessible instructional content.
✦ Facilitated collaborative learning environments for machine learning practitioners.
I'm excited about
✦ Exploring cross-industry applications for large-scale multilingual AI systems.
✦ Engaging with global communities to discuss future LLM research frontiers.
✦ Connecting with researchers building ethical and inclusive machine learning frameworks.
I can help with
✦ Providing technical feedback on complex deep learning and NLP architectures.
✦ Advising on effective strategies for large-scale multilingual data curation.
✦ Mentoring early-career researchers interested in pursuing advanced computer science degrees.
I would love your help on
✦ Connecting with experts navigating the challenges of AI alignment in new languages.
✦ Gaining perspectives on building research teams within startup environments.
✦ Discovering new methodologies for data-efficient training of large foundation models.