I am a Master of Science in Computer Engineering graduate specializing in the intersection of hardware performance and image science. My work focuses on evaluating and optimizing the ISP (Image Signal Processor) pipeline—from sensor-level data to final color-graded output.

• Image Quality Evaluation: Quantitative analysis of MTF/SFR (Sharpness), SNR (Noise), Dynamic Range, and Color Accuracy (ΔE).
• Imaging Science: Deep understanding of Bayer patterns, Demosaicing, Tone Mapping, and Color Space transforms.
• Technical Tools: Python (OpenCV, NumPy, SciPy), C#/.NET, MATLAB, and RAW image analysis.
• Video Engineering: Advanced color grading and bit-depth management for high-end media pipelines.

• Metadata Analytics: Developing tools to programmatically extract and analyze ISP metadata to correlate hardware settings with objective image quality.
• Automation: Scripting automated test harnesses for camera sensor characterization.

• NASA Research Intern: Applied Optical Coherence Tomography (OCT) to analyze physiological data, sharpening my skills in scientific imaging and sensor reliability.
• Professional Media Lead: Managing a photography and video business where I apply technical color science and sensor characterization to real-world creative workflows.

• Languages: Python, C#, JavaScript, SQL
• Imaging: OpenCV, DaVinci Resolve (Color Science)
• DevOps: Docker, GitHub Actions, CI/CD pipelines, Git

• Proud Corgi Dad 🐾