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jerpint commited on Nov 9

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update resume

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 huggingface_hub==0.25.2
 openai

 huggingface_hub==0.25.2
 openai
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-<!DOCTYPE html>
-<html lang="en">
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <title>Jeremy Pinto's Resume</title>
-    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.5.1/css/all.min.css">
-    <style>
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-    </style>
-</head>
-<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>
-            </a>
-<a href="https://linkedin.com/in/jeremy-pinto" class="social-link" target="_blank">
-                <i class="fa-brands fab fa-linkedin-in"></i>
-                <span>linkedin.com/in/jeremy-pinto</span>
-            </a>
-<a href="https://news.ycombinator.com/user?id=jerpint" class="social-link" target="_blank">
-                <i class="fa-brands fab fa-hacker-news"></i>
-                <span>HN/jerpint</span>
-            </a>
-<a href="https://huggingface.co/jerpint" class="social-link" target="_blank">
-                <span class="emoji">🤗</span>
-                <span>HF/jerpint</span>
-            </a>
-<a href="https://youtube.com/@jerpint" class="social-link" target="_blank">
-                <i class="fa-brands fab fa-youtube"></i>
-                <span>YT/jerpint</span>
-            </a>
-        </div>
-    </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/&quot;">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 &amp; 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 &amp; Web: FastAPI, Gradio, Hugging Face</li>
-<li>Data Processing: pandas, NumPy, hf-datasets</li>
-</ul>
-<p><strong>Cloud &amp; 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 &amp; Prostate Using Raman Spectroscopy &amp; 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 &amp; 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>
-</body>
-</html>

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resume.md CHANGED Viewed

@@ -1,165 +1,3 @@
-# Jeremy Pinto
-header:
-  title: Senior Applied Research Scientist
-  location: Montreal, Canada
-  email: jerpint [at] gmail [dot] com
-  phone: phone number upon request
-social:
-  blog:
-    text: "Blog • www.jerpint.io"
-    url: https://www.jerpint.io/
-    icon: 📝
-  github:
-    text: github.com/jerpint
-    url: https://github.com/jerpint
-    icon: fab fa-github
-  linkedin:
-    text: linkedin.com/in/jeremy-pinto
-    url: https://linkedin.com/in/jeremy-pinto
-    icon: fab fa-linkedin-in
-  hackernews:
-    text: HN/jerpint
-    url: https://news.ycombinator.com/user?id=jerpint
-    icon: fab fa-hacker-news
-  huggingface:
-    text: HF/jerpint
-    url: https://huggingface.co/jerpint
-    icon: 🤗
-  youtube:
-    text: YT/jerpint
-    url: https://youtube.com/@jerpint
-    icon: fab fa-youtube
-Chat with my resume 👉 [jerpint.io/resume](https://www.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](https://www.jerpint.io/blog/diffusion-gol/")
-- I post tutorials on YouTube like [how to summarize YouTube videos using GenAI](https://www.youtube.com/watch?v=WtMrp2hp94E)
-## 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"](https://www.edx.org/learn/deep-learning/universite-de-montreal-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](https://huggingface.co/spaces/mila-ai4h/AIR) and the [OECD](https://oecd.ai/en/air/)
-- 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](https://scholar.google.com/citations?user=e-N_8owAAAAJ)
-## 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

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