Lead developer for AMAVA, an accessibility research project translating video input into real-time audio feedback for visually impaired users.

• Engineered a motion-aware audio engine using YOLOv2 to classify environmental context and dynamically throttle audio playback.
• Built a low-latency pipeline with captioning and caching using Gemini, torchaudio, ElevenLabs, and FFmpeg.
• Authored an 8-page research paper detailing system architecture, user trials, and performance benchmarks.

Focusing on AI, soft computing, high performance computing, and advanced software engineering principles. Expected completion 2026.

Provided technical support for a camera service company, assisting daycare center staff and field technicians with equipment installation and troubleshooting.

• Built and configured 100+ Linux and Windows-based media servers while managing multiple tasks in a fast-paced environment.
• Remotely executed Linux scripts to diagnose and resolve network and hardware issues, minimizing client downtime.
• Guided field technicians through hardware installations and advanced troubleshooting.
• Utilized tools like Salesforce, Outlook, and RingCentral for task management and communication.

Completed Bachelor of Science in Computer Science.