Engineer Data

FENIL RAKESH SHAH

********@***.*** Los Angeles, CA 90007 323-***-**** https://www.linkedin.com/in/fenil-shah96 EDUCATION

University of Southern California August 2018 – May 2020 Master of Science in Computer Science GPA: 3.45 / 4 Algorithms, Artificial Intelligence, Web Tech, Database Systems, Software Engineering, Augmented and Virtual Reality D.J. Sanghvi College of Engineering, India June 2014 – June 2018 Bachelor of Engineering in Information Technology GPA: 9.03 / 10 Operating Systems, Computer Organization and Architecture, Data Mining, Cloud Computing EXPERIENCE

USC Information Sciences Institute, Marina Del Ray May 2019 – August 2019 Software Development Engineer Intern – (Ubuntu, Angular 6, Flask, MongoDB, RabbitMQ, Docker, Gitlab)

• Collaborated with multiple universities for DARPA’s Media Forensics (MediFor) project by integrating image extraction and reverse search image algorithms delivered in Docker containers

• Designed system architecture to manage smooth integrations of various functionalities and used NoSQL database to store unstructured data including BLOB files

• Improved image and PDF uploading efficiency by 85% using multi-processing

• Exported PDF based on report generated and maintained audit trails by creating log file for results Intellinects Ventures Pvt. Ltd., Mumbai June 2017 – August 2017 Android Application Developer Intern – (Android, Java, PHP, SQLite)

• Programmed core functionality like authorization using OAuth2 and processed multiple user request using threads

• Built Data Parser using PHP to process customer requests by collecting data efficiently from SQLite database

• Improved User Interface to achieve customer satisfaction leading to 30% increase in downloads PROJECTS

Food Ordering using Spring Boot – (Spring Boot, MySQL, JPA, Maven, Apache Tomcat) August 2019

• Used Spring Boot Annotations to efficiently manage REST API calls from client interface to backend controllers and applied Lombok dependency to reduce boilerplate code

• Administered transactions/food orders by using CRUD operations eBay Product Search – (Angular 6, TypeScript, HTML5, CSS3, GCP, NodeJS) March 2019

• Developed responsive product search website using different eBay APIs managed by NodeJS as backend server

• Utilised Google Custom Search to fetch product images and provided Wishlist/Cart to store products

• Hosted website on Google Cloud Platform (GCP) and built an Android application Daily Top News – (Django, JavaScript, Bootstrap) December 2018

• Retrieved data using Django framework from ‘newsapi.org’ to help users view news according to their preferences

• Constructed user preferential news system that allows users to view content in 14 languages across 100 sources Dynamic Data Analyser – (Python, PHP, JavaScript, MySQL) March 2018

• Combined Incremental Mining Algorithm with Frequent Itemset to deliver 20% faster results with 97.6% accuracy with help of NGINX load balancer using Round Robin technique

• Operated Agile software development process to mitigate major risks like server failure and data recovery

• Used ETL to transform data into clean and consistent format and applied Apriori algorithm Medic App – (Java, Android SDK, SQLite, PHP) September 2017

• Headed group of 4 to develop an Android application to provide the elderly with medical assistance

• Created an SOS feature enabling users to send current location to specific contacts via SMS using IP-API SKILLS

• Languages: Java, Python, JavaScript, SQL, C#, C

• Web Technologies: Angular 6, NodeJS, PHP, Django, Flask, JSON, REST, HTML5, CSS3, XML, Maven

• Database Technologies: MongoDB, MySQL, SQLite, Oracle, MS Access

• Tools and Frameworks: Spring Boot, JPA, RabbitMQ, MVC, Android Studio, NGINX, Visual Studio, Git, GCP

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