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About Me
I am a focused and highly motivated signal and image processing expert with over 15 years of experience spanning algorithm development, data processing, project management, and team leadership. My work bridges geophysics, radar engineering, infrared image exploitation, and guidance, navigation & control — applying rigorous mathematical and statistical methods to extract insight from complex, large-scale datasets.
I began my career in exploration seismology, building deep expertise across seismic data processing and imaging. Over eight years at DUG Technology and Viridien, I managed large-scale 2D, 3D, and 4D marine seismic projects — leading teams, building subsurface velocity models, and implementing advanced migration algorithms including FWI and RTM.
I then transitioned into defense, applying my signal processing foundation to SAR systems at Lockheed Martin and MIT Lincoln Laboratory — developing algorithms for polarimetric feature extraction, image segmentation, and interferometric surface displacement. Since March 2026, I have been a GNC Engineer at Northrop Grumman, developing new algorithms for the exploitation of IR image data, applying classical and machine learning techniques to pattern recognition, target detection and tracking, and false alarm mitigation. Outside of work, I explore personal AI projects — including a computer vision tool for dental diagnostics.
Projects
Deep learning application for automated dental X-ray diagnostics. Built with computer vision techniques to detect and classify dental conditions — a personal exploration of AI applied to medical imaging.
Algorithm development for infrared image data exploitation — applying classical signal processing and machine learning to pattern recognition, target detection and tracking, and false alarm mitigation across structured and unstructured data.
Development of algorithms for airborne and spaceborne SAR imagery — including polarimetric feature extraction, image segmentation via GMM clustering, and InSAR surface displacement analysis using SBAS.
Large-scale marine seismic data processing workflows covering velocity model building, noise suppression, multiple attenuation, FWI, and advanced depth migration (Kirchhoff & RTM) on Hadoop-style cluster systems.
Experience
- Developing new algorithms for the exploitation of infrared (IR) image data.
- Applying classical signal/image processing and machine learning algorithms to large sets of structured and unstructured data for pattern recognition, target detection and tracking, and false alarm mitigation.
- Interfacing with software engineers to ensure implemented algorithms are correct, robust, and maintainable.
- Performing functional and performance analyses to validate algorithm effectiveness.
- SAR image processing algorithm development for airborne and spaceborne sensors.
- Polarimetric feature extraction from dual-pol and quad-pol SAR data.
- Image segmentation using probabilistic modeling (GMM clustering) adapted for cluster computing.
- InSAR processing via small baseline subset (SBAS) analysis for time-lapsed surface displacement.
- Designed and implemented complex mathematical algorithms in Python and MATLAB for SAR imagery processing.
- Developed RADAR image enhancement techniques for artifact detection and mitigation.
- Evaluated SAR imagery and remote sensing systems across research prototypes and operational algorithms.
- Used enterprise agile tooling: Git, JIRA, Confluence, Bitbucket.
- Managed in-house marine 2D, 3D, and 4D seismic data processing and imaging projects.
- Supervised project geophysicists; planned cluster computing resources on Hadoop-style systems.
- Implemented advanced geophysics toolkits: noise suppression, SRME, de-ghosting, 4D/5D regularization, VTI/TTI velocity model building, FWI, Kirchhoff, and RTM migration.
- Oversaw QA/QC, project proposals, and maintained strong client relationships with national and independent oil and gas companies.
- End-to-end seismic data processing and imaging on multi-client offshore marine projects.
- Coordinated a team of seismic imagers to deliver high-quality subsurface images.
- Applied wave propagation theories, wavelet processing, noise attenuation, and velocity building techniques.
- Collaborated with research and programming staff to develop new processing tools.
- Performed research in active source seismology under an Air Force grant with Prof. Robert L. Nowack.
- Published two peer-reviewed articles in Pure and Applied Geophysics.
- Lab assistance, tutoring, and grading for Physical Geology, Earth Science, and Fossil Fuels & Society.
Technical Skills
Education
Awards
- Turkish Petroleum Corporation Graduate Scholarship (2006–2009)
- Cedric J. Newby Scholarship Award, Fall 2009
Certificates
- Systems Engineering Bootcamp
- OSHA Compliance Training
- Wavefield Seismic Imaging
- Leading Teams Effectively
Publications & Presentations
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