An AI Software Engineer passionate about GenAI integration and engineering.
I create intelligent solutions that drive value and save you time by leveraging the power and efficiency of modern AI.
View My WorkWith less than 1 year of professional experience, I've quickly developed a strong foundation in Python, common libraries and frameworks, as well as HTML, CSS, and Javascript to help me pursue my interests in AI.
I thrive in environments where continuous learning is key and I'm eager to contribute my skills to innovative, real-world problems. My passion lies in defining problems and engineering solutions, utilizing AI to simplify complex processes.
With an extensive (10+ year) background in mobile equipment diagnostics, troubleshooting, and repair, I offer a unique perspective and bring tangible value to projects rooted in complex and cost-sensitive problems and processes.
Download ResumeA selection of my work demonstrating my capabilities.
Simple analyzer using a Kaggle dataset. Utilizes Anthropic's Sonnet to drill into the data, matplotlib to generate heatmaps, and interprets requests fluently. Try it out! This app is live via the Streamlit Community Cloud.
Text input sentiment analysis using NLTK's VADER. Built on python with Gradio for simplicity and to learn Gradio for future projects, this app extracts and interprets sentiment (emotional intent) from your input. Try it out! This app is live via Huggingface Spaces.
My personal application for capturing data to build the database for my Gearhead models. Mimics a typical work order processing application and runs with a CLI or in Streamlit. Likely adapting to use Gradio over Streamlit and self-hosting after I alleviate hardware constraints for my projects. Try it out! This app is live via the Streamlit Community Cloud.
Built upon Llama 3.2 1b and 3b, this custom model is focused on mobile equipment diagnostics and troubleshooting. I've finetuned the 1b model with over 4000 diagnostic conversation examples and am working to compile a vast database of service and technical manuals for a comprehensive RAG implementation. The goal of the Gearhead project is to have a mobile device deployable AI assistant to help backfill skillgaps for service technicians.
Custom model built with Llama3.1:8b using Ollama (local) for expert diagnostics and troubleshooting in the mobile equipment rental industry. My assistant assumes the role of an equipment expert. This app is built on Python with Streamlit and supports save, print, and reset functions. Testing functionality using RAG pipeline for OEM manuals with ChromaDB. Testing speech-to-text and text-to-speech options. Will likely migrate from Streamlit soon.
I'm currently seeking new opportunities and challenges in the AI space. Feel free to connect!
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