I have 3+ years experience working in Computer Vision projects using OpenCV, Python and deep learning algorithms. And overall 5+ years experience in ML and data science.
Sample works:
1. ANPR - automated number plate recognition from a video feed taken from a parking lot and drive paths
2. Traffic counting - from a video feed of a busy highway. The project involved identifying the type of automobile along with the count of each vehicle type (car, truck, motorbike), the following distance, and speed
3. Classifying medical images using TensorFlow, Matlab and OpenCV. E.g., classifying the tumour as benign or malignant from lung CT scans (DICOMs)
4. Gender and age identification from a Kiosk video feed using Caffe and OpenCV
Experience Summary:
1. Experience in Computer Vision, pattern recognition and related algorithms
2. Expertise in R&D and new algorithm creation or implementation based on technical papers
3. Good knowledge in dealing with videos, images, analytics, pattern recognition and mathematical concepts and algorithms
4. Proficient in these tools: OpenCV, Python, R, Scikit-learn, SciPy, TensorFlow, Caffe, YOLO
5. Machine Learning and Predictive Modeling methodologies
I have extensive experience with AWS Analytics components (Dynamo DB, EMR, RDS, Redshift, Lambda, API Gateway, Kinesis, AWS ML etc.). Not worked with Rekognition yet as it is very new. But shouldn't be a problem to pick it up.
We are a Data Science company specialised in machine learning and big data.