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Rohit Pidaparthi
Resume
927 Jackson Street Apt 2
Mountain View, CA 94043
USA
1 760 576 4488
rohitpid@gmail.com
Education
2011–2013 Master of Science, Electrical Engineering, Stanford University, Stanford, CA, USA.
2004–2008 Bachelor of Science, Bioengineering, University of California, San Diego, La Jolla,
CA, USA.
Cum Laude; Phi Beta Kappa Honors; Provost’s Honors 6 quarters
Computer skills
Programming Python, C/C++, JAVA, Ma-
chine Learning
Scripting Bash, Python, Matlab,
Javascript, CSS
Skills Hadoop, Spark, Probability and
Statistics, Data Mining
Specialized
Applications
LabView,Solidworks, Blender
3D modeling
General
Applications
Word, Excel, Powerpoint Administration Linux/Unix, Ubuntu/Debian,
RHEL, Fedora
Experience
01/28/2014-
04/10/2016
Software Engineer, Yahoo Inc., Sunnyvale,CA, USA.
I worked on the Abuse Prevention team, specifically on detecting and classifying malicious traffic
using data analytics and machine learning algorithms including k-means clustering and logistic
regression with Hadoop, Spark and python. I also helped to design and create a distributed
rate limiting system that protected Yahoo from DDOS attacks. This system handled billions
of requests per day with high concurrency and was written in C++. I also took the lead on a
project that involved providing analytics for high request rate users that used hadoop and some
basic hive.
Summer 2011 Intern, Algotochip Corporation., Sunnyvale,CA, USA.
I developed an automatic documentation framework in C++ to document the capabilities of
custom hardware processors from their design specifications. I also developed a test DNA sequence
matching algorithm that was used as the basis for the simulation of the production of a custom
hardware accelerator.
09/2009-09/2010 Researcher, UC Berkeley Magnetic Imaging Lab, Berkeley,CA, USA.
Research in Magnetic Particle Imaging. I developed a spectrometer for measuring magnetic
properties of nanoparticles for use in Magnetic Particle Imaging (MPI), a new imaging modality
that uses electromagnets to excite nanoparticles and detects their induced magnetization and
relaxation. I was involved in all aspects of this project including designing and building the
detection coils, the circuits for power amplification and signal detection, to writing the acquisition
software in Matlab and performing data analysis on the results.
06/2008-07/2008 Researcher, Scripps Clinic Orthopedic Research, La Jolla,CA, USA.
Bioengineer at Scripps Clinic Orthopedic Research. Wrote a python program to help run
biomechanical models of hip motion on San Diego Supercomputer.
07/2007-09/2007 Researcher, UC Irvine Epilepsy Lab, Irvine,CA, USA.
I worked on epilepsy and brain edema research. I worked with optical methods for measurement
of brain edema and in epilepsy studies of mice including electrode implantation surgeries for
video EEG studies.
01/2007-06/2007 Researcher, VA Medical Center, La Jolla,CA, USA.
Individual Research at VA Medical Center. Auditory research in spiral ganglion growth and
development. Worked on neuronal growth and response to growth factors and performed animal
surgery and cell culture.
Pertinent Interests and Projects
Django Web
Framework
I built a website to display Twitter trending topics for major cities and plot them on a
map. Used Python, Django, Dajaxice, Google Maps API and Twitter API.
Machine Learning Dec 14,2012. Financial Market Time Series Prediction with Recurrent Neural Networks.
We used Echo State Networks to predict the future stock price for various stocks in the
S&P 500 index.
Digital Image
Processing
Worked on project to synchronize text and audio books. A user takes picture of page and
our Android application will start playing audio from the correct spot in the audiobook.
Drone Hackathon Apr 6, 2013. My team participated in and won the drone games at Stanford. We
programmed a Parrot AR. Drone quadrocopter to use the built in camera to detect
balloons and to pop them.
Hardware
Hackathon
Feb 23, 2013. I participated in hardware hackathon in which we designed and built a
electronic bicycle lock which we could unlock via bluetooth.
Arduino I built a solar panel and a remote monitoring system with an Arduino and temperature,
light and humidity sensors. Some of my other Arduino projects include a remote controlled
rover using Xbee wireless communication and bluetooth modules to communicate with
Arduino.
Important Courses
Probabalistic Graphical Models CS228 Machine Learning CS229 Convex Optimization EE364A
Analog Circuit Design EE214A Linear Dynamical Systems EE263 Adaptive Signal Processing EE373A
Stochastic Control EE365 Applications of Fourier Transform EE261 Information Theory EE376A
Digital Image Processing EE368 Statistical Signal Processing EE278B Digital Signal Processing EE264
Other Passions (Ice Breakers)
Guitar, Singing, Volunteering, Cooking, Traveling
Sports: Tennis, Soccer, Cycling, Basketball
Yoga, Hiking, Camping, Backpacking
Papers/Posters
1. Financial Market Time Series Prediction with Recurrent Neural Networks Armando Bernal, Sam Fok, Rohit
Pidaparthi December 14, 2012.
2. Ferrohydrodynamic relaxometry for magnetic particle imaging. P. W. Goodwill, A. Tamrazian, L. R. Croft,
C. D. Lu, E. M. Johnson, R. Pidaparthi, R. M. Ferguson, A. P. Khandhar, K. M. Krishnan, and S. M. Conolly.
Appl. Phys. Lett. 98, 262502 (2011).
3. X-space MPI relaxometry: methods and initial data. Arbi Tamrazian ; Patrick Goodwill ; Laura R. Croft
; Rohit Pidaparth ; R. Matthew Ferguson ; Kannan Krishnan ; Steven Conolly. Proc. SPIE 7965, Medical
Imaging 2011.
4. Conolly et al. Magnetic Particle Imaging: A Novel Ultra-sensitive Imaging Scanner for Tracking Stem Cells
In Vivo. Poster Presented at: California Institute of Regenerative Medicine Conference. March 2010. San
Francisco. USA.

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RohitCV_2016_04

  • 1. Rohit Pidaparthi Resume 927 Jackson Street Apt 2 Mountain View, CA 94043 USA 1 760 576 4488 rohitpid@gmail.com Education 2011–2013 Master of Science, Electrical Engineering, Stanford University, Stanford, CA, USA. 2004–2008 Bachelor of Science, Bioengineering, University of California, San Diego, La Jolla, CA, USA. Cum Laude; Phi Beta Kappa Honors; Provost’s Honors 6 quarters Computer skills Programming Python, C/C++, JAVA, Ma- chine Learning Scripting Bash, Python, Matlab, Javascript, CSS Skills Hadoop, Spark, Probability and Statistics, Data Mining Specialized Applications LabView,Solidworks, Blender 3D modeling General Applications Word, Excel, Powerpoint Administration Linux/Unix, Ubuntu/Debian, RHEL, Fedora Experience 01/28/2014- 04/10/2016 Software Engineer, Yahoo Inc., Sunnyvale,CA, USA. I worked on the Abuse Prevention team, specifically on detecting and classifying malicious traffic using data analytics and machine learning algorithms including k-means clustering and logistic regression with Hadoop, Spark and python. I also helped to design and create a distributed rate limiting system that protected Yahoo from DDOS attacks. This system handled billions of requests per day with high concurrency and was written in C++. I also took the lead on a project that involved providing analytics for high request rate users that used hadoop and some basic hive. Summer 2011 Intern, Algotochip Corporation., Sunnyvale,CA, USA. I developed an automatic documentation framework in C++ to document the capabilities of custom hardware processors from their design specifications. I also developed a test DNA sequence matching algorithm that was used as the basis for the simulation of the production of a custom hardware accelerator. 09/2009-09/2010 Researcher, UC Berkeley Magnetic Imaging Lab, Berkeley,CA, USA. Research in Magnetic Particle Imaging. I developed a spectrometer for measuring magnetic properties of nanoparticles for use in Magnetic Particle Imaging (MPI), a new imaging modality that uses electromagnets to excite nanoparticles and detects their induced magnetization and relaxation. I was involved in all aspects of this project including designing and building the detection coils, the circuits for power amplification and signal detection, to writing the acquisition software in Matlab and performing data analysis on the results. 06/2008-07/2008 Researcher, Scripps Clinic Orthopedic Research, La Jolla,CA, USA. Bioengineer at Scripps Clinic Orthopedic Research. Wrote a python program to help run biomechanical models of hip motion on San Diego Supercomputer. 07/2007-09/2007 Researcher, UC Irvine Epilepsy Lab, Irvine,CA, USA. I worked on epilepsy and brain edema research. I worked with optical methods for measurement of brain edema and in epilepsy studies of mice including electrode implantation surgeries for video EEG studies. 01/2007-06/2007 Researcher, VA Medical Center, La Jolla,CA, USA. Individual Research at VA Medical Center. Auditory research in spiral ganglion growth and development. Worked on neuronal growth and response to growth factors and performed animal surgery and cell culture.
  • 2. Pertinent Interests and Projects Django Web Framework I built a website to display Twitter trending topics for major cities and plot them on a map. Used Python, Django, Dajaxice, Google Maps API and Twitter API. Machine Learning Dec 14,2012. Financial Market Time Series Prediction with Recurrent Neural Networks. We used Echo State Networks to predict the future stock price for various stocks in the S&P 500 index. Digital Image Processing Worked on project to synchronize text and audio books. A user takes picture of page and our Android application will start playing audio from the correct spot in the audiobook. Drone Hackathon Apr 6, 2013. My team participated in and won the drone games at Stanford. We programmed a Parrot AR. Drone quadrocopter to use the built in camera to detect balloons and to pop them. Hardware Hackathon Feb 23, 2013. I participated in hardware hackathon in which we designed and built a electronic bicycle lock which we could unlock via bluetooth. Arduino I built a solar panel and a remote monitoring system with an Arduino and temperature, light and humidity sensors. Some of my other Arduino projects include a remote controlled rover using Xbee wireless communication and bluetooth modules to communicate with Arduino. Important Courses Probabalistic Graphical Models CS228 Machine Learning CS229 Convex Optimization EE364A Analog Circuit Design EE214A Linear Dynamical Systems EE263 Adaptive Signal Processing EE373A Stochastic Control EE365 Applications of Fourier Transform EE261 Information Theory EE376A Digital Image Processing EE368 Statistical Signal Processing EE278B Digital Signal Processing EE264 Other Passions (Ice Breakers) Guitar, Singing, Volunteering, Cooking, Traveling Sports: Tennis, Soccer, Cycling, Basketball Yoga, Hiking, Camping, Backpacking Papers/Posters 1. Financial Market Time Series Prediction with Recurrent Neural Networks Armando Bernal, Sam Fok, Rohit Pidaparthi December 14, 2012. 2. Ferrohydrodynamic relaxometry for magnetic particle imaging. P. W. Goodwill, A. Tamrazian, L. R. Croft, C. D. Lu, E. M. Johnson, R. Pidaparthi, R. M. Ferguson, A. P. Khandhar, K. M. Krishnan, and S. M. Conolly. Appl. Phys. Lett. 98, 262502 (2011). 3. X-space MPI relaxometry: methods and initial data. Arbi Tamrazian ; Patrick Goodwill ; Laura R. Croft ; Rohit Pidaparth ; R. Matthew Ferguson ; Kannan Krishnan ; Steven Conolly. Proc. SPIE 7965, Medical Imaging 2011. 4. Conolly et al. Magnetic Particle Imaging: A Novel Ultra-sensitive Imaging Scanner for Tracking Stem Cells In Vivo. Poster Presented at: California Institute of Regenerative Medicine Conference. March 2010. San Francisco. USA.