Chandra Prakash Mangipudi
126 W Ahwanee Ave, Sunnyvale, CA 612-226-8346 mcprakash2009@gmail.com
linkedin.com/in/chandramangipudi https:/chandramangipudi.me https://github.com/mcprakash
Education
Sept. 2013 - MS in Mechanical Engineering at University of Minnesota Minneapolis
- July 2016 Minor: Aerospace Advisor: Prof. Perry Li
Gpa: 3.733/4 Thesis: Vision aided Inertial Localization for ROV
Aug 2009 - B.Tech in Mechanical Engineering at IIT-Madras Chennai
- July 2013 Minor: Management Advisor: Chandramouli P
Gpa: 8.26/10 Thesis: Acoustic Cavity Noise Control
Recent Work Experience 5+ years
Jan 2017 - Sr. Embedded & Algorithms Engineer at Wavelet Health Mountain View
- Current Pulse Oximetry Firmware (Cypress) for Heart Rate (HR), HR Variability(HRV), SpO2 & BRPM
Implemented Binary Search on offset DAC for Pulse Oxymetry signal calibration in 3 ms
Fuel Gauge Calibration and on-chip Battery State-of-Charge (SOC) measurement
External crystal oscillatory (ECO) tuning for Bluetooth and integrated Pedometer on chip
Convert server based python engines for IoT to native C engines
March 2016 - Senior C Developer and Embedded Software Engineer at Rithmio Chicago
- Dec 2016 Integrate gesture recognition software Librithmio with embedded systems
Hardware platforms - Intel Curie, Nordic NRF52DK, Flex ThemePark
Complete unit testing for librithmio - C library using Unity test framework
Automatic gesture recognition and tracking using big data analytics & Machine learning
April 2016 - Google Summer of Code at Mobile Robot Programming Technology (MRPT) Chicago
- Aug 2016 Vision based pose estimation using PnP algorithm toolkit (10 state-of-the-art algos)
Sept 2013 - Graduate Assistant at University of Minnesota Minneapolis
- Dec 2015 Teaching Asst.- Design and Manufacturing Tech. II, System Dynamics & Controls
Research Lab - Mechatronics and Intelligent Machines
Prototyped 3D non-contact vision based sensors with position accuracy of ±0.5cm and
orientation accuracy of ±0.5
0
in underwater environment
June 2014 - Gesture Recogniton Intern at Playtabase Minneapolis
- Aug 2014 Programmed gestures on a wrist watch based device using ARM MCU’s and KEIL IDE
Achieved 90% reliability with 6 different gestures
May 2012 - Hydraulics Intern at TRW Chennai
- Aug 2012 Modeling and Simulation of Hydraulic Power steering pumps using AMESim
Achieved 95% correlation between simulation and experiments
Skills
Lang: C/C++, Python, Matlab, git OS: Linux, Windows Hardware: ARM, Arduino, Raspberry Pi
Lib: OpenCV, OpenGL, ROS Soft: AMESim, LabView 3D Soft: Autocad, Creo, Ansys