I currently work as a machine learning/data science intern and business/marketing strategist for Vyncs, the main consumer-based product of Agnik. I developed machine learning algorithms and applications for Agnik's connected car and IoT applications (i.e. deep image classification for car damage recognition, onboard embedded device pixel segmentation), implemented in Python and C++.
Learn more about Vyncs:
As a data science intern, I designed and implemented machine learning algorithms for deep image classification for swarms of drones in loosely coupled environments. I researched distributed deep neural network learning algorithms for loosely-coupled systems and wrote a paper on "Self Similarity, Contraction Mappings, and Distributed Deep Learning of Neural Networks", which is in communication for publication. I used AWS EC2 Accelerated Computing Linux instances and Caffe (Python and C++).
I regularly taught computer science and STEM basics to children in Baltimore lacking technological resources and education. I also developed software/web applications to assist with teaching and volunteers, designed new curricula for robotics, app development, Java/Python programming, and etc. I served on the Executive Board to make decisions regarding the future and expansion of the technology education and resources of the organization in both the Maryland, Massachusetts, and New Jersey branches.
Feel free to contact me with any work-related inquiries!