NAVEEN VISHAL BELLARY

Software Engineer Intern dedicated to improving skills through hands-on learning and development work. Proficient in mobile and desktop development environments. Adept at using HTML5, JavaScript and other programming languages to produce clean code. Well-organized and collaborative team player with strong communication and analytical abilities.

• AWS Certified Cloud Practitioner Certification by Amazon
• Certified Coursera - Machine Learning Algorithms: Supervised Learning from Tip to Tail
• Certified Coursera - Python Data Structures
• Certified Coursera - Data Science Math Skills

MavAppointment Reengineering project, University of Texas at Arlington, 01/2023, 05/2023

• Revitalized Mavs Appointment using SDLC, addressing legacy issues, introducing hashed passwords, calendar integration, and appointment editing. Emphasis on rapid deployment, enhancing security, user experience, and administrative capabilities resulted in an efficient, secure system with streamlined functions.
• Leveraged diverse technical expertise, incorporating Apache Tomcat, JavaScript, MySQL, HTML, CSS, and Visual Studio for agile development. Enabled efficient requirements gathering, project tracking, and testing, demanding robust problem-solving and interpersonal skills during testing phases and user acceptance testing.

Developed Visual AI Q&A, University of Texas at Arlington, 08/2022, 12/2022 

• Developed and implemented an advanced Visual Question Answering (VQA) system with TensorFlow, Keras, Pandas, NumPy, Matplotlib, and Jupyter Notebook, achieving a significant 15% accuracy improvement. Enhanced overall efficiency through advanced data preprocessing, leading to an impressive 20% reduction in processing time and optimization.

Development of Paint GUI, University of Texas at Arlington, 01/2022, 05/2022 

• Employing a diverse range of design patterns, the GUI functions of Paint were meticulously crafted, and Java was deftly harnessed to enact the intricate patterns embedded within the software.
• Executing the software design patterns employed by the application, including the iterator pattern, controller pattern, designer pattern, and bridge pattern, the intricate framework of the application was ingeniously woven.
• Paint GUI implementation using Object Oriented principles.

ML Olive Productivity Predictor, GITAM, India, 02/2021, 05/2021

• Developing a Python-based project that forecasts the productivity of olive oil in relation to a specified area and a given season, subsequently enhancing the agricultural sector.
• Employing Naive Bayes, Gaussian, and Support Vector Machines to analyze historical data from previous years, the project assesses the feasibility of crop growth in a specific location.