Mayan Bhadage

Jersey City, NJ 607-***-****

adlltx@r.postjobfree.com linkedin.com/in/mayanbhadage github.com/mayanbhadage EDUCATION

State University of New York, Binghamton University Dec 2019 Master of Science in Computer Science GPA: 3.63

Yeshwantrao Chavan College of Engineering May 2017 Bachelor of Engineering in Computer Science GPA: 3.52 Related Courses: Design and Analysis of Algorithms, Database Management Systems, Web Development, High Performance Computing, Machine Learning, Data mining, Artificial Intelligence TECHNICAL KNOWLEDGE

Programming Languages: Python, C++, Java, JavaScript, C, Haskell Databases: MySQL, MongoDB, SQLite, Oracle

Web Technologies: HTML5, CSS3, Bootstrap, Flask, NodeJS, jQuery Tools and Frameworks: TensorFlow, Pandas, NumPy, Matplotlib, OpenCV, CUDA, OpenMP Other: AWS, Docker, Jenkins, Git

WORK EXPERIENCE

Binghamton University, Binghamton, NY, USA Feb 2020 - Jan 2021 Research Intern, Department of Computer Science

• Developed and maintained Python codebase for Inventory Management System at Binghamton University

• Refined existing data pipeline to increase performance of data processing and rendering of visualizations, and also created multi-level indexing in MySQL database resulting in 80% faster data retrievals

• Increased test coverage by 70% by developing multiple unit test cases and scheduled automated tests on Jenkins to monitor server performance

• Improved code readability and maintainability by documenting and refactoring existing codebase Nagpur Today, Nagpur, India Jun 2018 - Aug 2018

Software Engineer Intern, R&D team.

• Developed a web scraper in Python for an online news agency, to extract information on trending news and stored data in MongoDB

• Containerized modules using Docker images and also deployed images on AWS instances

• Collaborated with a cross-functional team of 4 members to develop a news recommender system based on analytics derived from website usage pattern of subscribers

Nishank Web Studios, Nagpur, India May 2017 - Dec 2017 Web developer Intern, Front-End team.

• Created user-friendly websites for local businesses using modern web technologies to ensure high traffic

• Improved UX quality of existing websites, resulting in 30% increase in customer satisfaction

• Constructed and maintained MySQL databases for clients and formulated SQL queries to extract analytical information NOTABLE PROJECTS

Sign Language Recognition (Python, OpenCV, TensorFlow) Jan 2020

• Implemented a neural network model to detect hand gestures of American Sign Language in real time using TensorFlow

• Trained multiple models on images collected with OpenCV- Python and attained accuracy of 92.4% in prediction

• Compared performance metrics of various neural network models (DNN, CNN, SqueezeNet) by tuning hyperparameters

• Implemented a histogram for skin detection and applied image manipulation techniques using OpenCV resulting in significant improvement in gesture extraction

Deep Neural Network (C++, Nvidia CUDA) May 2019

• Achieved accuracy of 94.6% in recognizing handwritten digits by building a deep neural network of 1024 neurons in hidden layer to train 60K and test 10K handwritten digits in C++ from scratch

• Reduced training and testing time by more than 60% by implementing multithreading on GPU with Nvidia CUDA High Dimensional Spheres (C++, Python, Multi-threading, OpenMP) April 2019

• Sampled over 1 million random points on a unit sphere in higher dimensions using C++ and plotted histogram in Python Matplotlib for frequencies of points

• Obtained 4 times more execution speed by multi-threading and OpenMP

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