DEEPAK GARG
@deepakgarg
Lead Engineer at Samsung Research
Bangalore, India
Deepak Garg is an experienced Lead Engineer specializing in Deep Neural Networks and Image Processing. He has expertise in developing on-device mobile inference solutions and designing Android applications. His background includes work on Indoor Positioning Systems and various Machine Learning concepts, complemented by an M.Tech from IIT Bombay.
Experience
Lead Engineer
Samsung Research and Development Institute (SRIB)
Development of Deep Neural Network Models within KPIs and to Design pre/post processing strategy involving Image Processing to complement the trained model. Deploy trained model for On-device mobile inference. Designing, planning and development of Android Native/Non-Native Application to meet the needs. The project is a part of Alive Intelligence and has been launched, available on samsung devices. Patent Granted: Electronic device and screen capturing method thereof, US11188359B2 for Layout Analysis Techniques for the project Alive Intelligence.
Senior Software Engineer
Samsung Research and Development Institute (SRIB)
Developed and Worked on Indoor Positioning System (IPS) using ML as a part of Project. Designed and Implemented Battery Charging Recommendation System from Scratch. Worked on Deep Neural Networks and Image Processing Concepts for tasks involving (but not limited to) Similar Image Detection, Blur Identification. Worked on technologies, but not limited to, Android, Image Processing, OpenCV, Machine Learning, onDevice Learning.
Education
Indian Institute of Technology, Bombay
M.Tech. in Computer Science and Engineering
Computer Science and Engineering
Thesis title: Reconstruction Error Bounds for Poisson-Gaussian noise affected signal under Compressed Sensing Framework
Vellore Institute of Technology
B.Tech. in Computer Science and Engineering
Computer Science and Engineering
Intermediate +2.