Udayan Birajdar Email udayanbirajdar@gmail.com Mobile (669) 225-8071 LinkedIn https://www.linkedin.com/in/udayanbirajdar/ GitHub https://github.com/udayan1410 Student in Software Engineering and a passionate programmer with experience in object oriented programming, developing, testing and debugging code. Actively seeking summer internship as a software engineer. EDUCATION Santa Clara University, Expected May 2021 Masters of Science in Computer Science and Engineering Current GPA: 4/4 University of Pune, July 2019 Bachelor of Engineering in Computer Engineering GPA: 3.83/4 Relevant Coursework: Data Structures and Algorithms, Advanced Data Structures, Object Oriented Programming, Design and Analysis of Algorithms, Web Development Tools and Method, Machine Learning. SKILLS AND ACHIEVEMENTS Languages : Java, JavaScript (ReactJS, NodeJs, Express), C++, C, Python, Web Technologies(HTML, CSS, Bootstrap ), JSON. Databases : SQL, PL/SQL, SQLite, MongoDB. Libraries: Tensor-flow, NLTK, NumPy, Pandas, SciPy, Scikit Learn, Flask framework, Keras. Softwares and Tools : Eclipse IDE, Android Studio, Jupyter Notebooks, AWS, Google Firebase, Git, BitBucket. Other : Test Driven Development, Docker, Scrum, Kanban, Agile. Publication (https://link.springer.com/chapter/10.1007/978-981-15-0790-8_25) : Presented a paper in International Conference on Computational Science and Applications held by Springer. Published the paper as a part of the Algorithms for Intelligent Systems book series. WORK EXPERIENCE Android Developer Intern | Script Lanes: Mobile and Web Solutions, India Jan 2019- May 2019 Tech Stack Java, Android, MySQL, Parse, Firebase Built, maintained and revamped 3+ android applications used by over 1000 customers for various android projects at Script Lanes. Collaborated with UI designers, Backend Engineers and key executives to develop cutting edge applications. Successfully configured and hosted 3+ android apps. Introduced new features and performed documentation PROJECTS Detection and Classification Diabetic Retinopathy (Java, Python, JavaScript, Express , Swing, SQL, JSON) August 2019 Trained a model in Keras (Python) using a dataset of 2000 images to detect the presence of diabetic retinopathy and predict the intensity of the disease. Implemented a 26 layered Neural Network and obtained accuracy up to 88%. Designed a GUI which takes a new image of the eye as input and predicts the category of disease out of the 4 categories ( No Diabetic Retinopathy, Low , Medium and High).Conducted research on improving the accuracy. Easy Grocery (Java, XML, SQLite, JSON) April 2019 Developed an Android application to buy 4 types (Fruits, Vegetables, Grains and Meat) of groceries. Applied multiple principles of object oriented programming like inheritance and interfaces to fetch data JSON API on remote server, parsed the data and displayed it to the end user. Used SQLite database for offline purpose thereby significantly increasing application performance. Gera Advantage (Java, XML, SQLite, JSON) April 2019 Collaborated with a team of 5 members to develop and deploy an android application to report non-conformities for the company Gera developments which is used by over 500 members. Maintained and revamped old code to improve performance by 50%. Successfully implemented push notifications and REST web services to fetch data from server. TravelCity (Java, ReactJS, NodeJS, MongoDB, JSON) March 2019 Designed and implemented an interactive android application and web application with information about 10 metropolitan cities of India . Included features such as Places of interest in the city, Images, Information, Google Maps support. Enhanced the performance by adding filters. Introduced feature to create, update and delete a city in the web application. Hosted the android application it on Google Play Store with over 450 downloads and 4.8 rating. Programming Language Review (Java, SQLite, XML) February 2019 Created an android application consisting of tutorials on 3 programming languages: Java, C, C++. Successfully hosted and configured the application on Google Play Store with over 200 downloads in the first week of launch. Added new feature as online compiler thereby improving downloads by 10%.
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