Deepak P.

Deepak P.

Software Development Engineer 2

Gorakhpur , India

Experience: 2 Years

Deepak

Gorakhpur , India

Software Development Engineer 2

41336.1 USD / Year

  • Notice Period: Days

2 Years

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About Me

Highly skilled and results-driven Software Engineer with over 4.5+ years of experience in computer science and a strong proficiency in Java. Possess in-depth knowledge of Springboot, OOP, and REST API. Committed to delivering high-quality software so...

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Portfolio Projects

Description

Its a simple Springboot Todo application.Assisted in developing the Enterprise Performance Management software Host Analytics. ○ Applied Deep Learning and ARIMA algorithm for Time Series Forecasting. ○ Contributed to web application development using C and JavaScript. ○ Participated in testing, documentation, and deployment activities. ○ Collaborated with the team, seeking guidance and learning from senior members.

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Description

Gain a deep understanding of the domain knowledge related to the application and its requirements in the aviation industry. ○ Utilize Java for backend development, implementing robust and efficient functionalities. ○ Design and develop REST API’s using SpringBoot to facilitate communication between the frontend and backend components. ○ Create the user interface (UI) for the application using Angular 8, ensuring a seamless and user-friendly experience. ○ Collaborate with cross-functional teams, including UX/UI designers and product managers, to gather requirements and deliver successful outcomes. ○ Participate in code reviews to maintain code quality, adhere to coding standards, and address any issues or improvements.

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Description

This is a simulation-based project used to simulate the end effector of the right hand of NAO Robot. For training purposes, it applied Inverse kinematic using the MultiOutputRegressor model.Used NAO robots simulator, Python, and its libraries like Scikit-learn, Numpy, ALMath.

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Description

CNN-based application software developed using python that estimates the smile intensity of the person given his video (frame sequences) as input.Used Python 2.7 and its libraries like TFLearn, DLib, TensorFlow, OpenCV.

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Description

This software analyzed the streamed Global Tweets or user-given text for particular emotions.Used Stanford NLTK Parser, NetBeans, Twitter API, JAVA.

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