Software Engineer Computer Science
Resume:
PRATIK ZODE Seattle, WA
https://www.linkedin.com/in/pratikzode https://github.com/pratikzode ad0roq@r.postjobfree.com SUMMARY
• Energetic Software Engineer with Master’s degree in computer science with a good experience in developing robust code and who can bring a diverse skill set and creative drive to software application development.
• Proficient in object-oriented design, data structures, problem solving, complexity analysis and debugging.
• An enthusiastic team player with leadership experience and specializes in thinking outside the box to find unique solutions to difficult engineering problems.
TECHNICAL SKILLS
Technologies: C, C++, Java, Python, UNIX, JavaScript, Angular, TypeScript, VB Script, XML, HTML5, CSS, AJAX, JSON, GIT, GitHub, NetBeans.
Databases: MySQL, SQLite, Oracle 12c, MongoDB.
Cloud Services: Google App Engine.
Operating Systems: Windows, Linux.
EDUCATION
Master of Science in Computer Science, University of North Carolina at Charlotte, GPA – 4.0/4.0, Aug 2022 Bachelor of Engineering in Information Technology, University of Pune, India, GPA – 3.61/4.0, Oct 2020 Work Experience
Software Development Engineer, Amazon (AWS), Seattle, WA. Team: Aurora Mysql Sep 2022
• Developed and maintained BabelfishPG, an open-source extension for PostgreSQL that enables SQL Server compatibility, using C programming language.
• Optimized BabelfishPG's performance by conducting performance testing, analyzing bottlenecks, and making code optimizations to improve query execution times and reduce resource usage.
• Collaborated with cross-functional teams to translate business requirements into technical solutions, maintain existing features, and develop new features for BabelfishPG.
• Contributed to the open-source community by participating in code reviews, bug fixes, and feature development, and promoting adoption of BabelfishPG. PROJECTS
• Library Management System - Developed library management using MySQL and Java. Designed a user-friendly portal with functionalities for searching, checking in and checking out books while ensuring optimal calculations. Designed fine calculation, due date notifications and revoking library privileges, etc.
• Word Sense Disambiguation (WSD) - Implemented a model that maximizes the accuracy of WSD using Neural Networks. The input layer of the neural network consisted of nodes having binary values depending on the presence or absence of frequently occurring context words related to ambiguous words. The output layer consisted of nodes equal to the number of senses the ambiguous word has. We trained and tested our models using lexical resources such as SemCor or OMSTI. Technologies used were Anaconda Navigator, Python, Qt Designer platform.
• Fruits Detection System, using Image Processing – Implemented a system in Python using Convolutional Neural Networks and Image Processing which was able to recognize the fruit name with a high degree of accuracy. The system included three phases namely: pre-processing, feature extraction, and classification phases. Dataset sources were Imagenet and Kaggle. Used GrabCut Algorithm for background subtraction and trained the models using Keras and Tensorflow.
• Transport Organization (RTO) Management System – Developed a system for RTO office to maintain all records like 2- wheeler registration, 3-wheeler registrations, LMV, HMV, learning license and driving license, changing of address, renewal form, etc. Technologies used were MongoDB, NetBeans, and Java.
• Twitter sentiment Analysis – Implemented a model that could determine if a tweet is positive, negative, or neutral and verified key responses using twitter API. The key objective was to determine how people feel about certain topics, particularly through users’ word-of-mouth in textual posts, or in the context of Twitter, their tweets. Technologies used were Python libraries such as Tweepy and Text-blob. CERTIFICATIONS
• C and C++ programming – Certification by National Skill Development Corporation
• Core Java - Certification by National Skill Development Corporation
• Spring & Hibernate - Certification by National Skill Development Corporation HONORS AND AWARDS
• Best Presentation Award (Feb 2020): Awarded at International Conference on Pervasive Computing for presenting Word Sense Disambiguation using Neural Networks.
• Winner of Table Tennis Championship (Feb 2020): Awarded at Sinhgad Karandak Techtonic 2020.
• Winner of Blackout coding (Feb 2020): Awarded at Sinhgad Karandak Techtonic 2020.
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