Maxime Peabody

Austin, TX | maximepeabody@gmail.com

Current Role

Liftoff: Generative AI Engineer (May 2024 - present)

Technical lead on generative AI projects to improve efficiencies across different areas of the company, such as Sales, and ad creative generation.

Previous Experience

WOMBO.ai: Senior Software Engineer (Feb 2022 - April 2024)

Backend Engineer + ML ops/infra/exploration. Productionalized Machine learning models, Stable Diffusion (SDXL, controlnets, Loras), CLIP, BLIP, prompt engineering with GPT4, CI/CD, experiment framework, big data pipelines, AWS.

Google: L3, L4 SWE (2016 - 2022)

Backend engineer on Google Assistant, Search and Youtube Music. C++ and Java.

Detailed Experience

Liftoff - Generative AI EngineerMay 2024 - present

  • Sales Agent: Designed and implemented an email sales agent driving over $10k monthly revenue. Tech: mailgun, postgres, GCP, docker, python, LLMs with instructor, weave.
  • Slack Company Knowledge Assistant: Built RAG-based agent for company knowledge access using GCP, docker, python, Langsmith, pinecone, postgres.
  • Automated Workflows: Saved 1000+ hours through LLM-powered automation of data analytics and email processing.
  • Generative AI for ads: Fine-tuned image models using fal.ai and modal for custom ad creatives.

WOMBO.ai - Senior Software EngineerFebruary 2022 - April 2024

AI & Infrastructure:

  • Led creation of generic ML Model interface, reducing productionalization time by 5x
  • Implemented and explored SDXL, controlnets, text-to-video models
  • Integrated GPT API for prompt improvement
  • Reduced infrastructure costs by 10-25% through optimization

Google - Software EngineerSeptember 2016 - January 2022

Youtube Music (2019 - 2022):

  • Improved recommendation algorithm for new music videos
  • Implemented image generation pipeline with Skia
  • Enhanced artist livestream notification metrics

Google Assistant (2017-2019):

  • Implemented core Assistant features in C++
  • Developed Android prototypes and improved web debugger

Side Projects

Socky.ai - CofounderMarch 2023 - Present

  • Created sock designer tool enabling users to design custom socks using Stable Diffusion
  • Built GCP infrastructure and API for business logic, AI server handling image generation, outpainting, and background removal using Stable Diffusion and Kubernetes
  • Implemented GPT-4 for design suggestions and Gemini-Vision API for quality assessment
  • Created automated pipeline for design collection generation and copyright risk assessment

Research Experience

Computational Geometry ResearchMay 2014 - August 2015

  • Contributed to research on Local Routing in Convex Subdivisions
  • Developed proofs for routing and broadcasting in planar subdivisions with low memory

Computer Vision ResearchMay 2013 - May 2014

  • Researched computer vision techniques including image segmentation, edge detection and recognition
  • Implemented algorithms using C++ and OpenCV: Canny Edge Detector, Hough Transform, Watershed Transform

Teaching Experience

Teaching Assistant - Introduction to Computers

Carleton University, Ottawa, Ontario (September 2013 - May 2014)

Provided support and guidance to students, focusing on fundamental computer science concepts including binary code

Education

Bachelor of Computer Science, Robotics Stream, Co-op Option

Carleton University, Ottawa, Ontario

GPA: 11.66/12

  • Year abroad at the University of Edinburgh (2014/2015)
  • Highest Faculty Entrance Scholarship (2012-2015)
  • CodeGuru programming competition winner (2013, 2014)