We're building the operating system hospitality operators actually need.My co-founder and I started Sosuite in Philadelphia, and scaled it to hundreds of short-term rental units. We lived every operational nightmare: 2am lock failures, understaffed teams during peak season, juggling a dozen disconnected software tools that didn't talk to each other. When COVID hit, rising costs and labor shortages turned those pain points into existential threats.We looked for software that could handle the reality of running properties at scale. Nothing came close. So we built it ourselves. First as internal tools to keep Sosuite running efficiently, then as SuiteOp when we realized every operator faces these same problems.SuiteOp unifies what hospitality operators need most: IoT device management, intelligent task automation, guest portals, screening, and analytics in one platform. No more duct-taping systems together. No more enterprise complexity priced for hotel chains.We didn't start as a software company. We started as operators who got tired of technology that made our jobs harder instead of easier. That's why SuiteOp works the way operators actually work, because we built it to solve our own problems first.Technology should enable great hospitality, not get in its way.

Jean-Emmanuel Losi

Olivier Moindrot

Fragment (YC S23)

At Fragment, our focus is to help companies in their automation journey. We believe AI is a transformative technology, but will always require humans in the loop for evaluation, quality control or edge cases. Our product is a task management system designed for these human-in-the-loop jobs.

Co-founder & CEO

MetaMap

MetaMap is a scale-up providing identity verification services.

• Co-created, hired and led a team of 12 engineers, including 7 ML engineers in Paris.
• Worked hand in hand with a human in the loop team of 300+ agents in Mexico and India.
• Built a machine learning stack used in production, with human quality control and monitoring.

AI lead

Owkin

Owkin is a French-American startup that uses artificial intelligence to find the right treatment for every patient.

• Led research collaborations with academic and pharmaceutical partners, focusing on applying machine learning to medical images for prediction of prognosis.
• Worked hand in hand with the product team to build a platform used by medical researchers.
• Conducted multiple research projects including an internal research project on histology self-supervised learning: "Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology"

Senior Data Scientist

Stanford University

• Received a Centennial TA Award for CS231n
• Created a tutorial and code explaining the best practice when working on a deep learning project using TensorFlow: https://cs230-stanford.github.io 
• Mentoring student projects in deep learning

Teaching Assistant for CS231n, CS231 and CS230

• Advised by Sharad Goel in MS&E for a project on gas leak detection
• Developed a method for predicting gas leak locations based on a map of methane measurements

Research Assistant in data science

Context (acquired by IAS)

• Built a framework on top of TensorFlow for our team.
• Created and trained deep CNNs for face detection and recognition on a huge database of celebrities (~20M faces).
• Clever implementation of triplet loss in TensorFlow to improve computation time (x5).

AI Researcher (internship)

Lycée Sainte-Geneviève

Teacher assistant in Mathematics in the French preparatory program. Conducted and graded oral examinations, developed high explaining and pedagogical skills.

Covered topics: linear algebra, real and multivariate analysis, counting and probability, topology, advanced calculus.

taplio

The Battle

Jean-Emmanuel Losi

Olivier Moindrot

Followers

Posts

Engagements

Likes

Ready to grow your LinkedIn presence?