rockenzo

Description

👋 Hello there, I'm Rock! 🙋

Welcome to my profile! As an aspiring Software Engineer with a solid foundation in web development, software engineering, and machine learning, I have a passion for solving complex problems and building scalable applications. Eager to collaborate with diverse teams, I aim to contribute to impactful projects and push the boundaries of tech.

🛠 Skills 👨‍💻

1. 🔧 Software Development 📱

Languages:
Frameworks:

2. 🌐 Web Development 💻

Frontend:
Backend:
Databases:
Tools:
3. 🧠 Machine Learning 🤖
Frameworks:
Experience: Neural network training, optimization, predictive modeling.

4. 📊 Data Analysis 🧐

Libraries:
Experience: Data manipulation and analysis.

5. 💬 LLM APIs and Model Localization 😶‍🌫️

APIs:
Platforms:
Experience: Proficient in utilizing LLM APIs for integrating conversational AI into applications, and localizing models using platforms like Ollama for on-device or private cloud deployment.

6. 📋 Project Management 🗂️

Methodologies: Agile, Scrum
Experience: Leading projects, coordinating teams, meeting deadlines.

🛠 Project Experience 📑

Engineered a web scraper leveraging LLM Ollama 3.1 for data parsing, extracting content from over 500 web pages on-premise with high precision.
Developed a user-friendly interface with Streamlit, allowing users to input URLs, start scraping, and parse data seamlessly.
Employed BeautifulSoup, Selenium, and lxml to manage various content sources, decreasing data extraction errors.
Enhanced and tested the application, reducing errors and bolstering overall reliability.

Conceptualized and built a web application to boost visibility and streamline administrative functions for volunteer groups, featuring user sign-ups, location management, event creation, and role-based profile management.
Spearheaded the database schema design and led the development of the user management module, ensuring efficient data storage, retrieval, and seamless frontend integration for effective role and access management.
Implemented secure authentication mechanisms using Argon2 for password hashing and Google OAuth for third-party login.
Coordinated with frontend and backend teams to achieve a 20% reduction in development time ahead of schedule.
Performed comprehensive testing and debugging to ensure high performance and user satisfaction.

Created and honed a model for detecting football players in videos with the YOLOv5 framework for training and YOLOv8 for inference, achieving 92% accuracy.
Sourced and pre-processed a dataset of 663 annotated images from Roboflow, enhancing model precision.
Leveraged Google Colab’s GPU resources for efficient model training and tuning, reaching 97.5% precision in generating real-time bounding boxes around detected players.
Minimized manual video analysis time by 85% through model performance optimizations.

Developed a weather application using SwiftUI, providing real-time weather updates based on user location.
Integrated CoreLocation to fetch and manage user location data for accurate weather information.
Implemented a responsive UI with animated loading and launch screens to enhance user experience.
Utilized the OpenWeather API to fetch reliable and up-to-date weather data.
Designed custom views and extensions for streamlined UI components and improved code reusability.
Conducted thorough testing and debugging to ensure application stability and performance.

🎓 Education 📖

Bachelor of Information Technology: February 2023 – Present
University of Adelaide

Relevant coursework:
- Artificial Intelligence Techniques
- Computer Systems
- Object-Oriented Programming
- Programming for IT Specialists (Distinction)
- Web & Database Computing (Distinction)
- Introduction to Applied Programming (High Distinction)
- Introduction to Computer Systems, Networks, and Security (High Distinction)

📜 Certification 🏆

HackerRank Software Engineer Certificate
Credential ID: 1D18ED03135B
- Skills: Problem-solving, Python programming, SQL databases, REST APIs
- Issued: September 2024