Benjamin Feldman #

AI engineer with 1 year of experience building full-stack applications and ML pipelines.

• Phone: +33 06 51 38 81 41
• Email: benjamin.feldman.2@icloud.com

Experience #

Freelance - AI Engineer (April 2025 - now) #

Confidential enterprise SaaS client

• Designed and deployed an LLM pipeline for processing unstructured sensitive financial documents.
• Built validation and evaluation workflows to detect and reduce hallucinations.
• Building internal tools for analytics and monitoring.
• Stack: Python, Pydantic, pandas, Groq.

Behind The App (app development studio)

• Designed and built Paperboy, an AI-powered personalized podcast iOS app, from concept to deployment.
• Collaborated with product and design stakeholders on scope and specifications.
• Launched in September 2025, reaching up to 300 daily active users and thousands of generated podcasts.
• Stack: React Native, Python/FastAPI, Postgres, Docker, Grafana.

Stealth startup

• Built software tools for an AI hardware companion project, enabling user research with about 50 users before hardware was finalized.
• Developed backend (Python/FastAPI), iOS app (Swift/SwiftUI), and a working ESP32 prototype.
• Drove technical direction and architecture for fast iteration.

Datadog - Applied AI Scientist (September 2024 - March 2025) #

• Worked on Faulty Change Detection to identify problematic deployments and reduce time to detection.
• Built feature extraction pipelines processing millions of rows daily.
• Refactored tightly coupled legacy code and improved observability, reliability, and debugging workflows.
• Stack: Python, Luigi, SQL, pandas, Scala, bash, S3, Kubernetes.

Education #

CentraleSupelec (Paris-Saclay University) - MSc in Applied Mathematics #

• Relevant coursework: probability, statistics, optimization, machine learning, deep learning, NLP, OOP, distributed computing.

ENSCI-Les Ateliers - Dual Degree in Industrial Design #

• Interdisciplinary training at the intersection of design and engineering.

Lycee Charlemagne - MPSI/MP* Preparatory Classes #

• Intensive undergraduate coursework in mathematics, physics, and computer science.