Building tomorrow’s technology, today.
John is a Computer Engineering Graduate living in Vancouver who specializes in Machine Learning
With expertise in frameworks like PyTorch, TensorFlow, and OpenCV,
he delivers innovative, scalable solutions for real-world challenges.
Proficient in deep learning, model optimization, and GPU
acceleration, John is passionate about creating
impactful AI systems that drive innovation.
Let’s connect and see how I can help
make a difference for you!
John Alvarado
ABOUT ME
Hi, I'm John!
I'm a Machine Learning and Computer Engineer with a Bachelor of Applied Science in Computer Engineering from Simon Fraser University. I specialize in creating high-performance AI solutions and have hands-on experience with tools like Python, PyTorch, TensorFlow, and CUDA. My expertise extends to advanced techniques such as CNNs, model quantization, and computer vision.
Some of my recent work includes:
AI-Powered Legal Document Summarization & Q&A Assistant: A GPT-4o mini-powered AI that summarizes legal documents and answers legal questions. Built with FastAPI and Streamlit, it streamlines legal research by providing instant insights and AI-driven responses.
AI-Powered Video Clipping & Summarization Tool: An AI-driven system that extracts key video highlights using Whisper, CLIP, OpenCV, Kafka, and Kubernetes. It detects engaging scenes, transcribes speech, and generates captions with real-time processing and a Streamlit-based UI.
Buy, Sell and Hold: an AI-driven financial market forecasting and risk management system that employs Reinforcement Learning (PPO) to optimize trading decisions, leveraging real-time market data, technical indicators, and risk metrics, with a FastAPI-powered REST API for predictions and an interactive Streamlit dashboard for visualization.
inDoors™: An AI-powered indoor navigation system that boasts 100% feature detection accuracy and automatically generates maps for use in a custom-built navigation app.
MediScanAI™: A lung disease classifier that reduced model size by 400% while maintaining 93% accuracy, outperforming the best public deep learning models.
MY SKILLS
Reinforcement Learning
Financial AI
Scalable ML Pipelines
PyTorch
TensorFlow
CUDA
Model Quantization
Hyperparameter Tuning
Docker
Python
SQL
Git
FastAPI
DevOps (CI/CD)
C++
C#
JavaScript
PHP
Risk Modeling
Sharpe Ratio
Value at Risk (VaR)
Trading Algorithms
ReactJS
CSS
Node.js
TailwindCSS
Agile Development
GitHub
Kanban
Team Collaboration
Kubernetes
Whisper ASR
CLIP
Kafka
Redis
PySpark
Flask
Streamlit
OpenAI API
GPT-4o mini
PostgreSQL
Golang
Get to know me more.
MY PROJECTS
EDUCATION & EXPERIENCE
2024
2024
Founder & CEO, AI/Computer Vision Lead
inDoors™
Jan 2024 - present
Developed AI-driven computer vision solutions using Python, TensorFlow. Led a team in deep learning, data modeling, algorithm optimization, and deploying scalable ML systems. Spearheaded product innovation and advanced data analysis.
Bachelor of Applied Science - Computer Engineering
Simon Fraser University
Aug 2024
Co-op Distinction.
2022
2022
Co-Founder & Co-President
SFU Coop Hub (SCOOP™) by Simon Fraser University
Aug 2020 - Jan 2022
Co-founded and led SFU Coop Hub (SCOOP™), scaling membership to 753+ and team to 10+. Organized industry workshops and networking events, showcasing leadership, team building, and event management skills to enhance professional development opportunities.
2020
2020
IT Analyst/ Software Developer
Microserve
Jan 2020 - Dec 2020
Provided IT tech analysis and support at Microserve, troubleshooting IT issues, deploying PCs, and managing tickets via Kanban. Automated UBC finance API billing using C#, PHP, JavaScript, and SQL/MySQL. Built SQL reports, automated tasks, and ensured 100% client satisfaction. Recognized for outstanding service by clients, managed IT assets, and collaborated across teams to deliver efficient IT solutions.
