I am a developer based in Gainesville, FL, blending the world of high-performance computing with practical application development. I specialize in building AI models for epidemiological research and automating complex workflows to save time and resources.
Languages
Machine Learning & Data
Fullstack & Tools
Undergraduate AI/ML Epidemiology Researcher @ UF
- Developing ML models and LLMs to perform statistical analysis on real-time viral datasets.
- Building automated genomic pipelines to encode nucleotide sequences for predictive modeling.
Software Automation Engineer @ UF CPE
- Designing scalable data collection workflows using Qualtrics API.
- Reduced manual communication tasks from 8 hours to 30 mins weekly via automation.
- What it is: An integrated AI system combining Computer Vision (CNNs) for turtle identification and an NLP chatbot for researchers.
- Cool Tech: Predictive regression for weight estimation based on morphological features.
- Stack: Python, TensorFlow, PyTorch, HiPerGator HPC.
- What it is: A full-stack social networking mobile app with a digital handshake mechanism.
- Cool Tech: Implemented NFC/QR code-based connections with 60-second expiration logic for security.
- Stack: React Native, TypeScript, Firebase, Expo Router.
- What it is: A scalable pipeline to parse 29,000+ FASTA files for antibiotic resistance prediction.
- Cool Tech: High-throughput processing on HPC infrastructure using Bash and Python.
- Stack: Python, Bash, KMC, Big Data.
- What it is: A cross-platform tool to create lightweight Windows 11 virtual machines.
- Impact: Achieved 30-40% storage reduction, optimizing performance for students on resource-constrained systems.
- Stack: Python, Oracle VirtualBox APIs, Containerization.
