VENKATA SIVA ANIL KUMAR MADDALA 185 Estancia Dr, San Jose, CA-95134

anilmaddala@gmail.com , 972-876-8737

Senior Android Engineer | Systems Calibration With 5 years of experience as a Android Engineer and System Administrator, currently seeking full time position, where I can keep learning and contribute my abilities for the efficient and effective development of the organization. Technical Skills: Programming Languages: C,C++,C#,VB, Java, Python, SQL Operating Systems: Unix/Linux, Android, Windows IDE: Android Studio, Eclipse, NetBeans, Microsoft Visual Studio

Work Experience: Android Engineer – Atheer Labs, Mountain View, CA Sept 2014 – Present

● Calibrating of Depth To Display mapping, Calibration Rig design and setup. ● Feedback rendering on Atheer Glasses. ● Development of Mobile platform for Augmented Reality Displays and system applications for Atheer Glasses.

Associate Application Engineer – Intern, Match.com, Dallas, TX Feb 2014 – Aug 2014 ● Development and bug fixing for Email dashboard, Gallery and Likes page in Match.com Android Application. ● Prototype development, testing and Quality Assurance. Tata Consultancy Services, Chennai, India. Dec 2009 –Dec 2012 Distributed Systems Operations Engineer Project: Nielsen, USA ● Systems support and Maintenance of Nielsen’s viewer data collecting system and report generating tools. ● Resolved downtime of critical applications/servers by collaborating with other teams across the business.

ASP.Net Developer Project: Bank of America, USA ● Configuration, integration of Merrill Lynch accounts and website with existing Bank of America platform. ● Handled and conducted bridge calls, WebEx conferences and presentations with various team managers to discuss

updates, new requirements and suggestions as a part of continuous service improvement.

Academic Projects: Head Tracking system using Google Glass: The objective of this project is to identify objects of interest to a user. This is done using Google Glass and its array of sensor to get head orientation. The gaze of the user can be predicted from head orientation obtained from Google Glass and an understanding of the environment the user is in. Find My Phone: Using Google App Engine and Firebase for backend service this app can locate/ring a misplaced phone. Android sensor Integration with Raspberry Pi: Raspberry Pi is a powerful and affordable Linux processor. This project aims at adding a Sensor input to the Raspberry Pi from an Android Mobile Phone. The project consists of two parts, a Client application on the phone and a server on the Raspberry Pi. The sensor data from the phone is sent through UDP. Tensorflow Car: A 1/10 scale car is integrated with an android phone and Raspberry Pi. Using the camera and accelerometer sensor data, Tensorflow module running on the phone would autonomously navigate a set track. Relevant Coursework: Big Data Analytics Natural Language Processing Design & Analysis – Computer Algorithms Machine Learning Computer Vision Algorithmic Aspects of Networks Artificial Intelligence Statistics for Data Sciences

Education: University of Texas at Dallas GPA 3.486/4.0 Masters in Computer Science. Summer 2014 Vellore Institute of Technology, Vellore, TN, India GPA 3.5/4.0 B.Tech, Electronics and Communication Engineering. May 2009