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<title>Jeremy Pinto's Resume</title>
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<body>
<div class="header">
<h1 class="name">Jeremy Pinto</h1>
<div class="title">Senior Applied Research Scientist</div>
<div class="contact-info">
<span>jerpint [at] gmail [dot] com</span>
<span>phone number upon request</span>
<span>Montreal, Canada</span>
</div>
<div class="social-links">
<a href="https://www.jerpint.io/" class="social-link" target="_blank">
<span class="emoji">📝</span>
<span>Blog • www.jerpint.io</span>
</a>
<a href="https://github.com/jerpint" class="social-link" target="_blank">
<i class="fa-brands fab fa-github"></i>
<span>github.com/jerpint</span>
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<i class="fa-brands fab fa-linkedin-in"></i>
<span>linkedin.com/in/jeremy-pinto</span>
</a>
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<i class="fa-brands fab fa-hacker-news"></i>
<span>HN/jerpint</span>
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<a href="https://huggingface.co/jerpint" class="social-link" target="_blank">
<span class="emoji">🤗</span>
<span>HF/jerpint</span>
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<span>YT/jerpint</span>
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</div>
<p>Chat with my resume 👉 <a href="https://www.jerpint.io/resume">jerpint.io/resume</a></p>
<h2>Summary</h2>
<p>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.</p>
<p>Specialized in:</p>
<ul>
<li>Developing production-ready computer vision and NLP solutions</li>
<li>Bridging state-of-the-art research with practical business applications</li>
<li>Implementing and securing large language model workflows</li>
<li>Leading technical workshops and mentoring ML practitioners</li>
</ul>
<p>Stuff I build for fun:</p>
<ul>
<li>I maintain an ML-focused blog where I post things like <a href="https://www.jerpint.io/blog/diffusion-gol/"">using ControlNet to animate the Game Of Life</a></li>
<li>I post tutorials on YouTube like <a href="https://www.youtube.com/watch?v=WtMrp2hp94E">how to summarize YouTube videos using GenAI</a></li>
</ul>
<h2>Key Achievements</h2>
<ul>
<li>Led HackAPrompt competition with 2800+ participants from 50+ countries, resulting in EMNLP 2023 Best Theme Paper</li>
<li>Core contributor of Buster, an open-source RAG tool, with 200+ github stars</li>
<li>Co-authored deep learning course content reaching 8000+ global participants</li>
<li>Published gender identification algorithm for medical voice analysis, currently integrated in iOS app</li>
</ul>
<h2>Work Experience</h2>
<h3>Senior Applied Research Scientist</h3>
<h4>Mila - Quebec Artificial Intelligence Institute | Sept 2018 - Present</h4>
<p><strong>Key Responsibilities & Achievements:</strong></p>
<ul>
<li>Architected and implemented production-ready deep learning solutions for organizations</li>
<li>Mentored SMEs through AI adoption programs, resulting in successful implementation of ML solutions in the Canadian AI ecosystem</li>
<li>Created and delivered hands-on computer vision workshops for 200+ participants</li>
<li>Supervised MSc. students during their internship</li>
<li>Co-instructor for <a href="https://www.edx.org/learn/deep-learning/universite-de-montreal-deep-learning-essentials">"Deep Learning Essentials"</a> MOOC on EdX (8000+ participants), developed and delivered content on Convolutional Neural Networks and ML tools</li>
</ul>
<h3>Lead Data Scientist</h3>
<h4>Focus21 | May 2017 - June 2018</h4>
<p><strong>Key Achievements:</strong></p>
<ul>
<li>Developed proof-of-concept medical imaging systems for x-ray diagnostics using Mask R-CNN</li>
<li>Implemented reinforcement learning algorithms for industrial robotics in simulated environments</li>
<li>Implemented algorithmic trading strategies and analysis tools</li>
</ul>
<h2>Skills</h2>
<p><strong>AI/ML Technologies:</strong></p>
<ul>
<li>Generative AI: ChatGPT, Claude, LLaMa, cursor/copilot, Hugging Face {transformers, diffusers}</li>
<li>Deep Learning: PyTorch, Lightning, TensorFlow, Keras, Jax</li>
<li>ML Tools: Scikit-Learn, pandas, numpy, scipy, WandB, CometML, tensorboard</li>
</ul>
<p><strong>Software Development:</strong></p>
<ul>
<li>Languages: Python, Bash, Javascript, Matlab, LaTeX, Markdown</li>
<li>API & Web: FastAPI, Gradio, Hugging Face</li>
<li>Data Processing: pandas, NumPy, hf-datasets</li>
</ul>
<p><strong>Cloud & Infrastructure:</strong></p>
<ul>
<li>DevOps: Git, CI/CD, Docker, SLURM</li>
<li>Cloud Platforms: AWS, Azure, Heroku</li>
<li>Databases: MongoDB, SQLite</li>
<li>Editors: VSCode, (neo)vim</li>
</ul>
<p><strong>MLOps:</strong></p>
<ul>
<li>Experiment Tracking: WandB, CometML, TensorBoard</li>
<li>Data Version Control: Hugging Face datasets, deeplake, dvc</li>
<li>Model Serving: TorchServe, ONNX, BentoML, Docker</li>
</ul>
<p><strong>Languages:</strong>
- English (Native), French (Native)
- Hebrew (Limited Working), Spanish (Basic)</p>
<h2>Education</h2>
<h3>Systems Design Engineering - Vision and Image Processing (VIP) Lab</h3>
<h4>University of Waterloo, MASc. | 2015-2017</h4>
<ul>
<li>Thesis: "Cancer Classification in Human Brain & Prostate Using Raman Spectroscopy & Machine Learning"</li>
<li>Led research resulting in 2 peer-reviewed publications</li>
<li>Trained and deployed urban sound classification models within iOS apps</li>
</ul>
<h3>Engineering Physics</h3>
<h4>Polytechnique Montréal, B. Eng. | 2010-2014</h4>
<ul>
<li>Graduated with Distinction</li>
<li>Awarded DeVinci Profile and International Profile</li>
<li>Developed novel acoustic camera system for holography validation</li>
</ul>
<h2>Projects</h2>
<h3>HackAPrompt (2023) | <a href="">https://paper.hackaprompt.com/</a></h3>
<ul>
<li>Led development and implementation of global prompt-hacking competition</li>
<li>Tech Stack: Python, HuggingFace Transformers, PyTorch, FastAPI</li>
<li>Impact: 2800+ participants, 50+ countries, EMNLP2023 Best Theme Paper</li>
<li>Surveyed novel methodologies for testing LLM security</li>
</ul>
<h3>Buster (2022-2024) | <a href="">https://github.com/jerpint/buster</a></h3>
<ul>
<li>Core contributor of open-source RAG tool with citation capabilities and response-monitoring</li>
<li>Tech Stack: Python, OpenAI, Gradio, Pinecone, MongoDB, Deeplake</li>
<li>Adopted in research projects at <a href="https://huggingface.co/spaces/mila-ai4h/AIR">Mila</a> and the <a href="https://oecd.ai/en/air/">OECD</a></li>
<li>200+ GitHub stars</li>
</ul>
<h3>VoiceCollab (2021-Present) | <a href="">www.voicecollab.us</a></h3>
<ul>
<li>Lead ML developer for gender-affirming voice care deep-learning models</li>
<li>Implemented production-grade audio processing pipeline</li>
<li>Tech Stack: PyTorch, ONNX, Swift, Docker, MongoDB, Firebase</li>
<li>Peer-reviewed publications</li>
</ul>
<h2>Selected Publications</h2>
<ul>
<li>
<p>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</p>
</li>
<li>
<p>Bensoussan Y, Pinto J, et al. (2021). "Deep Learning for Voice Gender Identification: Proof-of-concept for Gender-Affirming Voice Care." Laryngoscope</p>
</li>
<li>
<p>J. Pinto (2017), "Cancer Classification in Human Brain and Prostate Using Raman Spectroscopy and Machine Learning." MASc. Thesis, UWSpace.</p>
</li>
</ul>
<p>Full publication list: <a href="https://scholar.google.com/citations?user=e-N_8owAAAAJ">Google Scholar</a></p>
<h2>Professional Interests & Activities</h2>
<ul>
<li>Technical Writing: Maintain ML-focused blog at <a href="">www.jerpint.io</a></li>
<li>Public Speaking: Regular invited speaker at AI conferences and workshops</li>
<li>Hobbies: Rock climbing, hockey, guitar, drums, travel</li>
</ul>
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