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Eole Cervenka

Machine Learning Engineer

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Skills

Languages & Frameworks: Python, TypeScript, PyTorch, TensorFlow, FastAPI, Flask, React, Next.js
AI/ML: LLMs, RAG, MCP, AI agents, LangChain, Stable Diffusion, fine-tuning, model benchmarking, NLP
Infrastructure: Docker, Kubernetes, GCP, AWS, Azure, CI/CD, PySpark
Data: PostgreSQL, Neo4j, vector databases, data pipelines

Experience

AI/ML Engineer — Constellation Finance

Mar 2025 – Present

  • Full-stack application development for an AI-powered financial platform
  • Lead developer on the MCP (Model Context Protocol) product, enabling AI agent integrations with financial data

Independent ML Engineer — CreativeRush & Projects

Oct 2024 – Present

  • Co-founded CreativeRush Media Lab, designing AI experiments with film creators
  • Built AI-powered applications including a legal CRM system and financial analyst chatbot

Machine Learning Engineer — lambda.ai

Jun 2022 – Oct 2024

  • Built and optimized the LLM pipeline for an AI-generated news site (news.lambda.ai)
  • Developed GenAI model benchmarks, including an inference benchmark for Stable Diffusion cited by Google Research in the Muse paper
  • Published Stable Diffusion finetuning demos on Hugging Face
  • Conducted 8 technical interviews, contributing to hiring decisions for ML engineering team growth
  • Contracted to Deep Voodoo (Jun 2022 – Dec 2023): led the transition of a deepfake research pipeline into a production-ready system for Hollywood VFX, containerized model training, and led R&D in image restoration and controllable image generation

AI Software Engineer — Boston Consulting Group

Jun 2019 – Jul 2021

  • Built end-to-end data pipelines using PySpark, Pandas
  • Productionized and deployed data applications across diverse client infrastructures (bare-metal, GCP, AWS, Azure)
  • Built a CI/CD pipeline using JFrog to let consultants self-deploy cloud-based coding environments via a Dockerfile frontend

Data Scientist — Prazely

Oct 2018 – Apr 2019

  • Built a content-based recommender system using Neo4j graph database for an e-commerce platform

Research Scientist — Orange Telecom

May – Sep 2018

  • Benchmarked a parameter-free time series classifier against existing models

Python Developer — Freelance

Jul 2016 – Sep 2017

  • Built a Twitter analytics web app (Flask) with unsupervised NLP and graph-based community detection

Education

M.S. in Mathematics and Computer Science

2017 – 2018 · Université Paris Dauphine - PSL

M.B.A.

2015 – 2016 · Bentley University

M.S. in Management

2011 – 2014 · NEOMA Business School