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High Tide Digital

Alex Olyaiy
Full Stack Developer•Agency Owner•AI/ML Enthusiast

Computer Science student at UBC and co-founder of High Tide Digital. Building modern web experiences with cutting-edge technologies.

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Alex Olyaiy
Full Stack Developer
Plug Vancouver • August 2022 - Present
Plug Vancouver
  • Architected and deployed a full-stack website using Next.js, React, and Tailwind CSS, achieving perfect Core Web Vitals scores
  • Engineered a custom CMS with PostgreSQL database, enabling non-technical staff to manage content
  • Developed an autonomous AI agent system using OpenAI's APIs for brand-aligned content generation
Full Stack
Frontend
Large Language Models
Next.js
React
Founder and Owner
Hightide Digital • July 2024 - Present
Hightide Digital
  • Architected and deployed 12+ high-performance web applications with 90+ Lighthouse scores
  • Engineered custom headless CMS solutions with AWS S3 and Supabase
  • Orchestrated successful project deliveries while maintaining technical excellence
Full Stack
Frontend
Next.js
AWS
React
Supabase
PostgreSQL
RAG-Powered AI PDF Analyzer
Personal Project • 2024
Personal Project
  • Improved scalability by 50% using Next.js dynamic routing
  • Implemented AWS S3 integration with sub-200ms response times
  • Engineered a RAG-based chatbot with OpenAI API and Pinecone DB
Full Stack
Large Language Models
AWS
Next.js
Python
Machine Learning
Google Gemini Clone
Personal Project • 2024
Personal Project
  • Engineered a functional replica of Google's Gemini chatbot using React.js
  • Developed efficient REST API endpoints with AWS Lambda
  • Implemented cross-region API communication for Canadian users
Frontend
Large Language Models
AWS
REST APIs
React
Javascript
Term Deposit Prediction Model
Personal Project • 2024
Personal Project
  • Developed a machine learning model to predict bank term deposit subscriptions using Python and scikit-learn
  • Implemented comprehensive data preprocessing pipeline and feature engineering techniques
  • Achieved improved prediction accuracy through logistic regression and cross-validation
  • Created detailed data visualizations for exploratory analysis using matplotlib and seaborn
Machine Learning
Python
Data Analysis
Credit Card Default Prediction
Personal Project • 2024
Personal Project
  • Developed an XGBoost model achieving 80.89% accuracy in predicting credit card defaults
  • Implemented comprehensive data preprocessing pipeline with StandardScaler and feature encoding
  • Optimized model performance using GridSearchCV and SMOTE for imbalanced data handling
  • Analyzed feature importance to identify key default predictors through data visualization
Machine Learning
Python
Data Analysis
Neural Network Implementation from Scratch
Personal Project • 2024
Personal Project
  • Implemented a neural network with backpropagation from scratch using Python
  • Built comprehensive forward pass and backpropagation algorithms with MSE loss
  • Created detailed Jupyter notebooks explaining neural network fundamentals
  • Developed based on Andrej Karpathy's neural network principles
Machine Learning
Python
Data Analysis
ResumeLM - AI-Powered Resume Builder
Personal Project • 2024
Personal Project
  • Architected a full-stack resume optimization platform using Next.js 15 App Router and React Server Components
  • Implemented multi-model AI integration (OpenAI, Claude, Gemini) with RAG architecture for real-time content suggestions
  • Engineered PDF generation system with dynamic layout preservation and 98% Lighthouse performance score
  • Designed secure authentication flow with Supabase RLS and Prisma ORM for granular data access control
Next.js 15
TypeScript
LLM Integration
Supabase
Prisma
Stripe
Vancouver Housing Price Predictor
Academic Project • 2024
Academic Project
  • Developed a K-Nearest Neighbors regression model to predict Vancouver house prices using Python
  • Implemented data preprocessing and cross-validation to optimize model performance
  • Achieved RMSPE of $437,251 through feature engineering and model tuning
  • Analyzed relationship between square footage and housing prices using Kaggle dataset
Machine Learning
Python
Data Analysis
Statistics
138+ Stars on GitHub
TypeGPT - OS-Level LLM Integration
Open Source Project • 2024
Open Source Project
  • Built a Python application enabling system-wide AI model access with 138+ GitHub stars
  • Implemented support for multiple LLMs including GPT-4, Claude, Gemini, and Llama3
  • Engineered global keyboard shortcuts and clipboard integration for seamless AI interaction
  • Developed screenshot capability and image handling for multimodal AI interactions
Python
Large Language Models
System Integration
Open Source