
Rahool Dembani
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Rahool Dembani
- 2 Jahre und 11 Monate, Sep. 2017 - Juli 2020
UNIVERSITY RESEARCH ASSOCIATE
Tianjin university
Carry out experiments and research according to protocols laid out by primary researchers Collect and log experimental data Conduct statistical analyses of data sets Prepare graphs and spreadsheets to portray results, create presentation slides and posters to help researchers present findings
- 2 Jahre und 3 Monate, Juni 2015 - Aug. 2017
SOFTWARE & WEB DEVELOPER
GoLive - ITS Software House
Developed cross-platform native and hybrid mobile applications for IOS and Android. Developed dynamic and interactive website that ensured high traffic, page views, and User Experience, resulting in increase in sales revenue. Worked with APIs to connect to 3rd party APIs (like social media) and involved in the unit-test code for robustness, including edge cases, usability, and general reliability.
- 5 Monate, Jan. 2015 - Mai 2015
WEB DEVELOPER
Hidaya Institute of Science & Technology
Responsible for working on a range of projects, designing appealing websites and interacting on a daily basis with graphic designers, back-end developers and marketers. Developing and maintaining the back end and front end functionality of websites. Simultaneously managing several databases and reporting tools
Ausbildung von Rahool Dembani
- 2 Jahre und 11 Monate, Sep. 2017 - Juli 2020
Software Engineering
Tianjin University
CGPA:3.4/4 Thesis: "Deep Learning-Based Facial Expression Recognition and Face Recognition Model". Short Description: During my master's thesis, I had learned potential skills related to research work, scientific writing, and software used in the research work. Supervisor: Prof: Wang Zheng.
- 4 Jahre, Jan. 2011 - Dez. 2014
Software Engineering
Mehran University of Engineering & Technology
CGPA: 3.1/4 Thesis: "Hand Gesture Recognition using an Android Device". Short Description: The subject of our thesis concerns the design and development of computer vision methods for recognizing hand gestures by a mobile device. Supervisor: Prof. Din Muhammad Sangrasi.
Sprachen
Englisch
C1 (Fließend)
urdu
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