“Motivated and organized team leader. Jay Jay ensures the entire team is up to the same page and can always be trusted to communicate effectively and clearly. Definitely an amazing person to work alongside, easy to talk to and have fun with while getting work done!”
Jofred Cayabyab
New York, New York, United States
1K followers
500+ connections
1K followers
500+ connections
About
I'm a new grad software engineer looking for new opportunities. View my projects and…
Activity
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We changed our name from "Paces AI" to just "Paces" in 2022 because the energy industry wasn't ready for AI automation. Four years later, we're…
We changed our name from "Paces AI" to just "Paces" in 2022 because the energy industry wasn't ready for AI automation. Four years later, we're…
Liked by Jofred Cayabyab
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a few weeks ago i had the chance to present my scaling work on recommendation models at the PyTorch conference in Paris! fun opportunity to talk…
a few weeks ago i had the chance to present my scaling work on recommendation models at the PyTorch conference in Paris! fun opportunity to talk…
Liked by Jofred Cayabyab
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So grateful for the opportunity to work with the Phillips lab the past 8 months and so proud of my team for bringing home gold for the Biomedical…
So grateful for the opportunity to work with the Phillips lab the past 8 months and so proud of my team for bringing home gold for the Biomedical…
Liked by Jofred Cayabyab
Experience
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Education
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Schulich School of Engineering, University of Calgary
1st Year
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With distinction - Dean's List - 3.981 GPA
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Projects
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datespot
See projectProduced a web application that uses the Google Maps API to recommend date locations to users.
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CrowdBrain
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See projectA web app that allows developers to share the development of their projects and features with their userbase and other developers. Users can leave comments providing new ideas, or constructive feedback on existing ideas. Built with React + Redux, Node.js, Express, and MongoDB.
Honors & Awards
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APEGA Past Presidents' Medal in Engineering
University of Calgary
Awarded for having the highest academic standing out of the entire software engineering graduating class of over 100 students.
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Senator Stan Waters Memorial Scholarship
University of Calgary
Valued at $4900 for having the highest academic standing out of all software engineering students in the 2019-2020 academic year
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Bennie Vorster Memorial Scholarship in Software Engineering
University of Calgary
Valued at $9800 for having the highest academic standing out of all software engineering students for the 2018-2019 academic year
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Louise McKinney Scholarship
Government of Alberta
Valued at $2500 for having a top 2% GPA in the province.
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President's Admission Scholarship
University of Calgary
Valued at $5000 for having a 95+% admission average.
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Schulich School of Engineering Dean's Entrance Scholarship
Schulich School of Engineering
Valued at $6750 for academic excellence.
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1 person has recommended Jofred
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So very excited to share that I've started a new position at Dataiku on Lorena De La Parra Landa's team! From the very first call in the recruitment…
So very excited to share that I've started a new position at Dataiku on Lorena De La Parra Landa's team! From the very first call in the recruitment…
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TL;DR: Ending my time with Code the Change YYC ⏰️ It's March 2022: COVID-19 ends my high school pre-engineering and fabrication classes. End-to-end…
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At the American Clean Power Association (ACP) Siting and Permitting Conference? Come say hi at booth #305! We’re giving attendees a first look at our…
At the American Clean Power Association (ACP) Siting and Permitting Conference? Come say hi at booth #305! We’re giving attendees a first look at our…
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Today we are launching the Supabase MCP server 🚀 This means you can just ask AI to: - Spin up databases - Design tables and track migrations -…
Today we are launching the Supabase MCP server 🚀 This means you can just ask AI to: - Spin up databases - Design tables and track migrations -…
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I'm excited to announce I'll be joining Amazon full-time as a Software Development Engineer (SDE1)!
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For my group's capstone project in CUNY Tech Prep's Data Science track, we're building a tool for students and job seekers to track, simulate and train for their technical interviews. It's still a work in progress, and one of the key features we’re implementing will allow users to record/upload audio explanations in response to a series of questions based on their submitted code. They'll be able to review their code solution alongside their audio transcription, and receive post-interview feedback to facilitate transparent standards in evaluation and continuous self-improvement. To explore this feature, I started a small project using Hugging Face and OpenAI's Whisper model to transcribe audio clips. It was pretty easy to hit the ground running with Angel Poon's video, "What Is Hugging Face and How To Use It", which provided a clear demonstration of Hugging Face's user-friendly platform, with access to pre-trained models, datasets, spaces, and other features that make building AI apps easy and accessible. I also came across Aleksa Gordić's thorough breakdown of the Whisper model in The AI Epiphany channel, titled "OpenAI Whisper: Robust Speech Recognition via Large-Scale Weak Supervision | Paper and Code". The video covered Whisper’s Transformer-based encoder-decoder architecture and its robust training on a massive multilingual dataset, enabling its zero-shot performance without the need for fine-tuning. I found out that Whisper can transcribe multi-language audio with diverse accents and background noise, making it very suitable and versatile for a range of speech-related projects. These videos helped me deepen my understanding of Whisper and Hugging Face with clear and practical information, which I am truly grateful for, coming exactly when I needed them at this point in my learning. 🫂😊 Watch Angel Poon's video on Hugging Face: https://lnkd.in/eUHkpx6p Watch Aleksa Gordić's video on OpenAI's Whisper: https://lnkd.in/ea-5xU5H
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