# Jean-Paul Ainam

Machine Learning Engineer at Meta. Menlo Park, California.

> Jean-Paul Ainam is a machine learning engineer at Meta working on ranking and recommendations for Facebook Feed. He also builds AI products and has published 20+ peer-reviewed papers.

Ranking systems by day, AI products by night.

## Selected work

- [Retransmit](https://retransmit.dev) (2026): Email, SMS, and WhatsApp for developers. One API.
- [Captivaq](https://captivaq.com) (2026): Government contracting on autopilot. Finds, scores, and drafts bids.
- [BenefitRecon](https://militarybenefit.app) (2026): A map-first app for military benefits and discounts nearby.
- [Storelane](https://getstorelane.com) (2026): Link-in-bio commerce for creators.
- [Onirix](https://onirix.ai) (2026): Private AI search over your team's documents.
- [WishSong](https://apps.apple.com/us/app/wishsong-gift-song/id6766134624) (2026): Personalized songs made with AI for any occasion.
- [Adorn AI](https://apps.apple.com/us/app/adorn-ai-hairstyle-try-on/id6760600285) (2026): Try on hundreds of hairstyles from a single photo.
- [Discolaire](https://discolaire.com) (2025): School management, from grades to attendance, in one place.

Built independently under [Logesta Labs](https://logestalabs.com).

## 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

## Education

- Ph.D., Computer Science, University of Electronic Science and Technology of China (2021)

## Research

Twenty-plus peer-reviewed papers on person re-identification, video understanding, and multimodal skill assessment. A selection:

- An Ensemble Approach to Emergency Medicine Skill Assessment. Military Medicine, 2025.
- Video-based Skill Acquisition Assessment in Laparoscopic Surgery Using Deep Learning. Global Surgical Education, 2024.
- Deep Learning for Video-Based Assessment of Endotracheal Intubation Skills. arXiv, 2024.
- Unsupervised Domain Adaptation for Person Re-identification with Iterative Soft Clustering. Knowledge-Based Systems, 2021.
- Enforcing Affinity Feature Learning through Self-attention for Person Re-identification. ACM TOMM, 2020.

[All papers on Google Scholar](https://scholar.google.com/citations?user=gvLgfp4AAAAJ&hl=en)

## Links

- [Website](https://jpainam.com)
- [GitHub](https://github.com/jpainam)
- [LinkedIn](https://linkedin.com/in/jpainam)
- [Scholar](https://scholar.google.com/citations?user=gvLgfp4AAAAJ&hl=en)
- [About](https://jpainam.com/about)
- [Contact](https://jpainam.com/contact)
- [Privacy](https://jpainam.com/privacy)

## Contact

Email [contact@logestalabs.com](mailto:contact@logestalabs.com), message on [LinkedIn](https://linkedin.com/in/jpainam), or see the [contact page](https://jpainam.com/contact).