Hop Le

Equipped with strong problem-solving abilities, willingness to learn and strong teamwork. Poised to contribute to team success and achieve positive results. Ready to tackle new challenges with dedication and enthusiasm.

GOOGLE CLOUD FUNDAMENTALS: CORE INFRASTRUCTURE CERTIFICATE - Coursera · GOOGLE

Equips me with the knowledge and skills to effectively interact with Google Cloud services

HONOUR ROLL LETTER - Humber College

Memory Safety Conversion Project

https://github.com/Hop-Le133884/SafeMem_C-to-Rust_Memory_Safety_Demo

• Designed and implemented a demonstration converting unsafe C code to memory-safe Rust, highlighting improvements in reliability and security for backend systems.
• Refactored C-based memory management (e.g., manual allocation/deallocation) into Rust’s ownership model, eliminating risks like dangling pointers and buffer overflows.

API Integration and Data Analysis Project

https://github.com/Hop-Le133884/API-EDA_FOURSQUARE_YELP

• Built a backend solution to integrate Foursquare and Yelp APIs, enabling retrieval and processing of location-based data for exploratory analysis.
• Developed server-side logic to handle API requests, parse JSON responses, and transform data into structured formats for downstream use.

API Integration and Data Analysis Project

https://github.com/Hop-Le133884/Mastering-MySQL-Practice

• Designed and implemented complex SQL queries, including window functions (e.g., LEAD, ranking) and business analytics tasks like identifying department employees with the highest salaries and calculating monthly revenue growth.
• Integrated Python with MySQL using custom modules (e.g., python_mysql_dbconfig.py, mydb_connection.py) to establish secure database connections and streamline data operations.

Machine Learning Pipeline Orchestration Project

https://github.com/Hop-Le133884/ML_PIPELINE_AIRFLOW_SPARK_DOCKER

• Engineered an end-to-end machine learning pipeline using Apache Airflow, Spark, and Docker to automate loan eligibility predictions, deployed via a Flask API.
• Orchestrated a scalable workflow with Airflow DAGs to process raw data, perform feature engineering, train ML models, and serve predictions, leveraging PostgreSQL for storing model parameters and metrics.