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:
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
- 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
- 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
- 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
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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