Jeremy Pinto

header: title: Senior Applied Research Scientist location: Montreal, Canada email: jerpint [at] gmail [dot] com phone: phone number upon request

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Chat with my resume 👉 jerpint.io/resume

Summary

Senior applied research scientist with 7+ years of experience modeling, training and deploying production-ready deep learning pipelines. Led the development of award-winning LLM prompt-hacking research (EMNLP 2023 Best Theme Paper) and contributed to a successful MOOC reaching 8000+ participants.

Specialized in:

Developing production-ready computer vision and NLP solutions
Bridging state-of-the-art research with practical business applications
Implementing and securing large language model workflows
Leading technical workshops and mentoring ML practitioners

Stuff I build for fun:

I maintain an ML-focused blog where I post things like using ControlNet to animate the Game Of Life
I post tutorials on YouTube like how to summarize YouTube videos using GenAI

Key Achievements

Led HackAPrompt competition with 2800+ participants from 50+ countries, resulting in EMNLP 2023 Best Theme Paper
Core contributor of Buster, an open-source RAG tool, with 200+ github stars
Co-authored deep learning course content reaching 8000+ global participants
Published gender identification algorithm for medical voice analysis, currently integrated in iOS app

Work Experience

Senior Applied Research Scientist

Mila - Quebec Artificial Intelligence Institute | Sept 2018 - Present

Key Responsibilities & Achievements:

Architected and implemented production-ready deep learning solutions for organizations
Mentored SMEs through AI adoption programs, resulting in successful implementation of ML solutions in the Canadian AI ecosystem
Created and delivered hands-on computer vision workshops for 200+ participants
Supervised MSc. students during their internship
Co-instructor for "Deep Learning Essentials" MOOC on EdX (8000+ participants), developed and delivered content on Convolutional Neural Networks and ML tools

Lead Data Scientist

Focus21 | May 2017 - June 2018

Key Achievements:

Developed proof-of-concept medical imaging systems for x-ray diagnostics using Mask R-CNN
Implemented reinforcement learning algorithms for industrial robotics in simulated environments
Implemented algorithmic trading strategies and analysis tools

Skills

AI/ML Technologies:

Generative AI: ChatGPT, Claude, LLaMa, cursor/copilot, Hugging Face {transformers, diffusers}
Deep Learning: PyTorch, Lightning, TensorFlow, Keras, Jax
ML Tools: Scikit-Learn, pandas, numpy, scipy, WandB, CometML, tensorboard

Software Development:

Languages: Python, Bash, Javascript, Matlab, LaTeX, Markdown
API & Web: FastAPI, Gradio, Hugging Face
Data Processing: pandas, NumPy, hf-datasets

Cloud & Infrastructure:

DevOps: Git, CI/CD, Docker, SLURM
Cloud Platforms: AWS, Azure, Heroku
Databases: MongoDB, SQLite
Editors: VSCode, (neo)vim

MLOps:

Experiment Tracking: WandB, CometML, TensorBoard
Data Version Control: Hugging Face datasets, deeplake, dvc
Model Serving: TorchServe, ONNX, BentoML, Docker

Languages:

English (Native), French (Native)
Hebrew (Limited Working), Spanish (Basic)

Education

Systems Design Engineering - Vision and Image Processing (VIP) Lab

University of Waterloo, MASc. | 2015-2017

Thesis: "Cancer Classification in Human Brain & Prostate Using Raman Spectroscopy & Machine Learning"
Led research resulting in 2 peer-reviewed publications
Trained and deployed urban sound classification models within iOS apps

Engineering Physics

Polytechnique Montréal, B. Eng. | 2010-2014

Graduated with Distinction
Awarded DeVinci Profile and International Profile
Developed novel acoustic camera system for holography validation

Projects

HackAPrompt (2023) | https://paper.hackaprompt.com/

Led development and implementation of global prompt-hacking competition
Tech Stack: Python, HuggingFace Transformers, PyTorch, FastAPI
Impact: 2800+ participants, 50+ countries, EMNLP2023 Best Theme Paper
Surveyed novel methodologies for testing LLM security

Buster (2022-2024) | https://github.com/jerpint/buster

Core contributor of open-source RAG tool with citation capabilities and response-monitoring
Tech Stack: Python, OpenAI, Gradio, Pinecone, MongoDB, Deeplake
Adopted in research projects at Mila and the OECD
200+ GitHub stars

VoiceCollab (2021-Present) | www.voicecollab.us

Lead ML developer for gender-affirming voice care deep-learning models
Implemented production-grade audio processing pipeline
Tech Stack: PyTorch, ONNX, Swift, Docker, MongoDB, Firebase
Peer-reviewed publications

Selected Publications

Schulhoff, S, J. Pinto et al. (2023). "Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition" EMNLP2023 Best Theme Paper Award
Bensoussan Y, Pinto J, et al. (2021). "Deep Learning for Voice Gender Identification: Proof-of-concept for Gender-Affirming Voice Care." Laryngoscope
J. Pinto (2017), "Cancer Classification in Human Brain and Prostate Using Raman Spectroscopy and Machine Learning." MASc. Thesis, UWSpace.

Full publication list: Google Scholar

Professional Interests & Activities

Technical Writing: Maintain ML-focused blog at www.jerpint.io
Public Speaking: Regular invited speaker at AI conferences and workshops
Hobbies: Rock climbing, hockey, guitar, drums, travel