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About

Achievements

  • Currently building AI agents for credit analysis @ Constellation Finance.
  • Built a Stable Diffusion inference benchmark cited by Google Research.
  • Shipped a deepfake pipeline at Deep Voodoo (Hollywood VFX).

Experience

AI/ML Engineer — Constellation Finance· Seed: $3.5M

Mar 2026 – Present
Multi-agent LLM systems
  • Lead developer on the MCP (Model Context Protocol) product — AI agent access to financial data
  • Multi-agent extraction pipeline for 200–400 page legal contracts, with Logfire-instrumented research loop

Machine Learning Engineer — lambda.ai· Series B → C

Jun 2022 – Oct 2024
Cited by Google Research
  • Stable Diffusion inference benchmark cited by Google Research (Muse paper, 2023)
  • Built and optimized the LLM pipeline for news.lambda.ai (AI-generated ML news site)
  • Published Stable Diffusion finetuning demos on Hugging Face

Machine Learning Engineer — Deep Voodoo · via lambda.ai

Jun 2022 – Dec 2023
Hollywood VFX in production
  • Transitioned a deepfake research pipeline to production
  • Built reproducible GPU training environments for VFX delivery cycles
  • R&D in image restoration and controllable image generation

AI Software Engineer — Boston Consulting Group

Jun 2019 – Jul 2021
Big 3 consulting
  • Production data pipelines (PySpark / Pandas) across the major clouds
  • Built a JFrog-based CI/CD frontend so consultants could self-deploy cloud coding environments

Earlier

  • Pre-seed startup — Recommender system POC for e-commerce2018 – 2019
  • Orange Telecom — time-series classification research2018
  • Pre-seed startup — NLP analytics, graph community detection2016 – 2017

Education

M.S. Machine Learning

2017 – 2018

Université Paris Dauphine - PSL

MBA

2015 – 2016

Bentley University

M.Sc. Management

2011 – 2014

NEOMA Business School

Get in touch

Book a call — or find me on LinkedIn and GitHub.

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