About Jean-Paul Ainam
Jean-Paul Ainam is a machine learning engineer at Meta in Menlo Park, California, working on ranking and recommendation systems for Facebook Feed, and the founder of Logesta Labs, an independent studio building AI products.
Who
Jean-Paul Ainam (JP Ainam) is a machine learning engineer at Meta, based in Menlo Park, California. His day job is ranking and recommendations for Facebook Feed: the models and systems that decide what people see and in what order. Outside of work he builds and ships AI products under his own studio, Logesta Labs.
He holds a Ph.D., Computer Science from the University of Electronic Science and Technology of China (2021) and has published more than twenty peer-reviewed papers on person re-identification, video understanding, and multimodal skill assessment.
Experience
- Meta: Software Engineer, Machine Learning, 2025 — Now
- Rensselaer Polytechnic Institute: Research Scientist, 2023 — 2025
- Amazon: Software Engineer, 2022 — 2023
- Rensselaer Polytechnic Institute: Postdoctoral Research Associate, 2020 — 2021
- Zhejiang Lab: Research Associate, 2020 — 2021
- CFAO Equipment: Senior Software Engineer, 2017 — 2019
Across these roles the common thread is applied machine learning at scale: recommendation and ranking, computer vision and video models, and the engineering needed to run them in production.
Research
His research covers person re-identification (matching people across cameras), unsupervised domain adaptation, video-based assessment of surgical and emergency-medicine skills, and multimodal deep learning. The full publication list is on Google Scholar; a short selection is on the home page.
Products
Products built independently under Logesta Labs, newest first:
- Retransmit: Email, SMS, and WhatsApp for developers. One API.
- Captivaq: Government contracting on autopilot. Finds, scores, and drafts bids.
- BenefitRecon: A map-first app for military benefits and discounts nearby.
- Storelane: Link-in-bio commerce for creators.
- Onirix: Private AI search over your team's documents.
- WishSong: Personalized songs made with AI for any occasion.
- Adorn AI: Try on hundreds of hairstyles from a single photo.
- Discolaire: School management, from grades to attendance, in one place.
Elsewhere
- GitHub
- Google Scholar
- Contact: how to reach him