As an individual situated at the intersection of entrepreneurship, technology, and finance, I am a devoted founder, seasoned developer, and skilled financier. My educational background spans across accounting, finance, and computer engineering.
Over the past decade, I've honed my skills and expertise, steering startups towards success and contributing my capabilities to notable organizations. Currently, I am working at Apple.
The work presented here is driven by my passion for learning and understanding emerging technologies. All my projects, past and present, are non-commercial and were created with the objective of personal growth and educational exploration.
Education📚
Master's Degree in Computer Engineering - ∂
Bachelor's Degree in Finance
AS in Management
Current Projects 📛
My current projects leverage large datasets, modernize legacy systems, and build tools to harness LLMs and AI tools.
Independently developed multiple production-grade MacOS applications that benefited teams across the organization
Current Personal/Educational Projects 🧪
iOS Custom Fine-tuned LLM Chatbot App with Humanlike Untraceable Output
Developed an intuitive iOS application that provides chatbot functionality with Humanlike output, offering expressions and responses that closely resemble those of a human and are virtually undetectable as AI generated.
Fine-tuned the language model (LLM) by utilizing custom datasets, enhancing the chatbot's performance and accuracy.
Employed advanced NLP techniques to generate contextually appropriate and lifelike responses, ensuring a more engaging user experience.
Optimized the app for seamless performance and exceptional user-friendliness on iOS, iPadOS, and macOS devices.
Leveraged Apple's Metal frameworks and cutting-edge technologies to maximize the app's efficiency and performance capabilities.
macOS Generative AI Image Creation Tool
Built an intuitive macOS application for efficient image generation, leveraging user-created and Hugging Face models.
Utilized Apple Silicon and Metal Frameworks for optimal performance and rapid rendering.
Enabled users to upload custom AI models, adjust parameters interactively, and seamlessly share creations.
Integrated the application with Hugging Face model repository to expand user options for image generation.
Optimized the application to harness the full GPU capabilities on Apple devices using Metal Frameworks.
Hardware Performance Monitor with Real-Time Data Visualization (Local)
Designed a Python-based application that displays real-time system performance data, including CPU usage, available memory, and disk usage.
Utilized the psutil library to collect system performance data, enabling precise tracking of system resources.
Leveraged the Streamlit library for the creation of interactive web-based data visualizations, allowing for an intuitive representation of performance metrics.
Streamlined the data collection process by storing collected data into a CSV file, ensuring consistent data availability and enabling historical analysis.
Implemented real-time updating of charts by continuously collecting data and refreshing the visualizations, providing an up-to-date view of system performance.
Smart Clipboard - Cross-Browser Clipboard History Extension for Safari and Chrome.
Developed a cross-browser clipboard history extension compatible with Safari and Chrome.
Enabled users to store and manage a history of copied texts, enhancing productivity and saving time.
Integrated features such as context menu, manual entry, copy/delete functionality, and dark mode.
Built using HTML, CSS, and JavaScript, leveraging browser extension APIs.