Abhishek Buragohain

Dependable Autonomous Systems

Investigations in adversarial learning for landmark localization in medical image data Under the supervision of Prof. Dr Carsten Meyer

Project : UFO Tri-Net Funded by : Federal Ministry of Food and Agriculture Link : https://www.fh-kiel-gmbh.de/de/leistungen/drittmittelprojekte/bundesministerien/ufotrinet.html

Part of Prof. Dr. rer. nat. Carsten Meyer 's "FH Kiel's Machine Learning working Group" .Currently working on the topic " Evaluation of different models of Generative Adversarial Networks in the context of medical images & human pose estimation". | Scope : Simple GANs , DCGANs , pix 2pix and CYCLEGANs, CNNs | tools : python, tensorflow, keras, GIT, anaconda | libraries : tensorflow, Pytorch, openCV | Environment : Linux , remote servers, virtualenv Hardware : Nvidia GPUs

Worked under Prof . Dr Mohammad Faizan , Kiel University of Applied Science My Task were : 1. Build Search engine optimization strategies for ComfNet Solution website - it included Off page , On Page , technical SEOs 2. Email marketing Strategy - Suggest services and strategies for this purpose. 3. Search Engine marketing strategies - Keyword research and formulation. - Google Ad template 4. Social media Strategies for increasing organic searches 5. Build business case for future projects.

Automation Testing Performace Testing Manual Testing Quality Assurance Management Defect management Test case management Mobile Testing Programming languages : j query , SQL

Mainframes || Cobol Language || Soft Skills

Machine learning | Neural Network & Deep Learning | Advance Software development | Advance data quality management | Requirement engineering | Cognitive consulting | Cloud Computing | IT Security

Microcontrollers | Digital signal processing | C language | Transducers | Electrical Circuits |