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Software Developer

San Diego, California, United States
January 28, 2018

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KIMAYA DESAI** San Diego, CA 619 *** **** SUMMARY

• Graduate Student studying Computer Science at San Diego State University.

• Proficient in Swift, Data Structures, Algorithms, Core Java and Web Technology.

• Full Stack Android and IOS Developer.


• San Diego State University, San Diego August 2016 - May 2018 MS Computer Science

Mobile Application Development – IOS, Android, Big Data (Scala & Spark), Machine Learning.

• Fr. Conceicao Rodrigues College of Engineering, Mumbai, India August 2012- May 2016 Bachelors Computer Engineering


• Programming Languages: Core Java, C/ C++, JavaScript, Python, SQL, HTML, CSS, XML, Swift 4, Scala, Prolog, Kotlin.

• Framework: Spark.

• Tools: Android Studio, Eclipse, XCode, IntelliJ, NetBeans, Anaconda, Git, Putty, FileMaker, ITK Snap. CERTIFICATION

Udemy - The Complete iOS Developer Course, License UC-PLAKD4Z7. Certification Date: February 2017 WORK EXPERIENCE

Student Assistant, School of Speech, Language and Hearing Sciences, SDSU September 2016 - Present

• Created 2 posters in Student Research Symposium, SDSU - Aphasia Drill Application and Lesion Reconstruction in Aphasia

• Designed the lab website

• Developed an IOS application for Aphasic Patient for training and testing their cognitive ability.

• Customized Linda, a neuroimaging toolkit for automatic segmentation of chronic stroke lesions based in Python to develop scans for frontal and posterior lesions.

• Technical and software assistance for laboratory setup for monitoring patients.

• Coded FileMaker Database for patient information. Software Development Intern, Knobull May 2017 – August 2017

• Designed functionality and prototypes for Knobull search engine.

• Developed the UI for the research and forum website. Summer Intern, Accelya Kale Solutions Pvt Limited, India June 2014 – July 2014

• Evaluated the product implementation methodology of Revera, airline revenue accounting system.

• Analyzed the Revera software and presented its findings. KIMAYA DESAI


• Multi-label Classification on Yelp Dataset

To predict the star ratings for the Yelp businesses using the business reviews, total check-ins, state and city. This project utilizes the 5.5 GB Yelp data and compares different Machine learning models. It also compares the Spark ML libraries and Python sci-kit machine learning libraries. Technologies used: Python, Spark-ML, AWS-EMR, Scala, Pandas, SKLearn, NumPy, Jupyter Notebook, AWS-S3 bucket, Apache Toree kernel, Spark-mllib, Matplotlib and Seaborn. GitHub: Yelp Classification

• H1B Classifier

To study of the impact of parameters on different models in ML multiclass classification algorithms on H1B Dataset on Kaggle to find the case status of the visa petition in Spark. Technologies used: Scala, MLlib, IntelliJ. GitHub: H1B Classifier

• Credit Card Fraud Detection

A software system for banks to detect frauds on basis of comparison with the database of the customer which includes location, frequency of transactions, amount and the trend of user expenditure using Genetic algorithm with an online shopping frontend and java applet backend. Technologies used: Core Java, NetBeans IDE. GitHub: Credit Card Fraud Detection

• Aphasia Drill

ML Based IOS application that tests the cognitive ability for an aphasic patient on basis of Flanker and Spatial Stroop, Recent Probes and Picture Naming Task. Includes a Firebase login, authentication and storage. Implemented using Game Sprite Kit. Maintains a dashboard for the user and uploads the results to Firebase. Technologies used: Swift4, Sprite Kit, XCode, Firebase. (In Process) GitHub: Aphasia Drill OTHER PROJECTS

• Currency Convertor

• Keylogger

• Bit Torrent Implementation

• Camera Object Detection

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