-Seasoned and highly motivated AI/Machine Learning/Computer Vision Specialist with more than 10 years of hands on experience in AI/DS/ML/DL/CV
-Well versed in AWS Ecosystem development (EC2/ECS/Lambda/S3/Docker/SageMaker/Rekognition/Snowflake)
-Proficient in Python and C++
-M.S in Computer Science with specialization in Computer Vision
-Developed Geospatial, Full Motion Video, Computer Vision, Face Detection, Silhouette Detection and Gesture recognition systems including those used in Game Development, Simulation and Virtual Reality systems.
-Research in Artificial Intelligence (AI), Machine Learning and Pattern Recognition problems (CNN, Deep Learning, SVM, Kernel-based learning)
-Projects involving datasets obtained using LIDAR, Kinect, UAV-mounted cameras and other optical
sensors.
Publications: Multiband Pan Sharpening Using Correlation Matching Fusion Method. Alex Kachurin, Mark Rahmes, Morris Akbari, Joe Venezia in proceedings of ASPRS conference, Apr. 2016.
Well Versed in GPU-based software development as it applies to Deep Learning pipelines (Keras, TensorFlow, CUDA, CuDNN, etc.)
Experienced in Cross Platform development (Linux and variants, MacOS, Windows) using both Open Source and Closed Source architectures.