Software Developer Data

KIRAN JAMBHALE

********@****.***, Halethorpe, MD, 443-***-****

EDUCATION

University of Maryland, Baltimore County, Baltimore, MD Expected: May 2021 Master of Science in Computer Science, GPA: 3.333

Cummins College of Engineering, Pune, India

Major: Computer Science, Score: First Class with Distinction: GPA: 3.3 SKILLS

Operating Systems Windows, Linux, Mac OS

Programming Java, JavaScript, Angular JS, Python, Ionic Databases MySQL, MongoDB

Platforms Jupyter Notebooks, Tableau

WORK EXPERIENCE

Associate Software Developer, Simply Compete Inc., Pune, India July 2018 - July 2019

Worked on a web-application using MVC framework, Java, JavaScript, AngularJS

Worked on a mobile-application on the Ionic platform

Worked intensively on developing the UI

Contributed as a tester for testing the web-application and mobile application

Trained the new recruited staff efficiently and managed the recruitment process PROJECTS

Multi-threaded client and server architecture for concurrent bank transactions for distributed systems

Implemented multithreaded server program which serves the online requests for account manipulations and client program which uses its services to update bank accounts. Synchronization of the local clocks with the server clocks

Randomly initialized the logical clock of individual processes and used of Berkeley’s algorithm to synchronize these clocks to the average clock.

Visualization of the solar system with respect to the relative position to the Sun

Collaborated with a team to visualize a 3D model of the solar system

Used HTML Canvas and JavaScript for the visualization Gamified Healthcare Application

Collaborated with a team of four students to develop an Android App dedicated to healthcare and fitness

Worked on the backend business logic using Java in the Android Suite Sector-based Trade Recommendation System

Worked with a team during the CitiCorp Bridge Program

Worked on AngularJS to develop the front-end for the system

Worked on building the queries for querying the database SEMINARS

Drug Discovery for Breast Cancer using Big Data Analytic Techniques

Presented a seminar that shed some light on Machine Learning algorithms that are designed for Big Data Analysis on top of MapReduce and Mahout.

This is used in order to pre-filter the huge set of ligands to effectively perform virtual screening for the breast cancer protein receptor.

RELATED COURSEWORK

Data Mining Techniques and Applications

Database Systems and Applications

Data Structures

Cloud Computing

Advanced Operating Systems

Data Visualization

Business Analytics and Intelligence

Machine Learning

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