Arvind Sujeeth
121 Campus Dr. #3411B
Stanford, CA 94305
(314) 229-8247
asujeeth at stanford dot edu
Education
Stanford, CA [Sept. 2008 - Present] Stanford University
M.S./Ph.D. student, Computer Systems Laboratory, Department of Electrical Engineering

Current GPA: 4.01/4.3

Austin, TX [Aug. 2003 - Dec. 2007] The University of Texas at Austin
December 2007 B.S. in Electrical and Computer Engineering

Career GPA: 3.89/4.0     Major GPA: 3.96/4.0
GRE: 1480 overall; 700 verbal / 780 quantitative; 5.0 analytical

Related Courses
Distributed Systems, Parallel Computer Architecture and Programming, Computer Systems Architecture, Machine Learning, Computer Vision, Algorithms, Data Structures, Software Engineering Processes, Microprocessor Applications and Organization, Discrete Math, Real-Time DSP Lab, Real Analysis
Work Experience
Sunnyvale, CA [June 2009 - Aug. 2009] Advanced Micro Devices
Dr. Alan Lee Research and Advanced Development Lab Co-op

- Developed data analysis software for gathering virtualization and interrupt statistics from hardware traces

- Developed a distributed data mining application and interface on top of open-source software
Austin, TX [June 2005 - Aug. 2008] Applied Research Laboratories
Dr. Cheryl Martin Engineering Science Associate

- Co-led the design and implementation of automated text classification software that combined machine learning and expert system technologies

- Assisted in the design and development of a wide range of software for a classified environment, including probabilistic models for predicting Improvised Explosive Device (IED) attacks
Research Experience
Stanford, CA [Sept. 2008 - Present] Pervasive Parallelism Laboratory
Prof. Kunle Olukotun Student

- Investigated and began implementation of a domain specific language for implicitly parallel machine learning algorithms

- Assisting in the research and development of DELITE (Domain Extracted Locality Informed Task Execution), a toolbox for providing safe, efficient parallelism abstractions to DSL writers

Stanford, CA [Sept. 2008 - Mar. 2009] Artificial Intelligence Laboratory
Prof. Andrew Y. Ng Student

- Developed and tested a controller and algorithm for autonomous indoor flight with miniature RC helicopters

Publication
S. P. Soundaraj, A. K. Sujeeth, A. Saxena, "Autonomous Indoor Helicopter Flight using a Single Onboard Camera", Proc. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, Oct. 11-15, 2009, St. Louis, MO USA.

Austin, TX [Feb. 2007 - Dec. 2007] Wireless Networking and Communications Group
Prof. Brian L. Evans Undergraduate Research Assistant

- Researched radio frequency interference (RFI) noise models (Middleton and Symmetric Alpha Stable) and corresponding parameter estimation

- Assisted in developing efficient Matlab simulation scripts demonstrating communication performance under modeled RFI interference

Publication
M. Nassar, K. Gulati, A. K. Sujeeth, N. Aghasadeghi, B. L. Evans and K. R. Tinsley, "Mitigating Near-Field Interference in Laptop Embedded Wireless Transceivers", Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Proc., Mar. 30-Apr. 4, 2008, Las Vegas, NV USA.

Software Release
Kapil Gulati, Marcel Nassar, Navid Aghasadeghi, Arvind Sujeeth and Brian L. Evans, Radio Frequency Interference Mitigation Toolbox in MATLAB, copyright (c) 2006-2007 by The University of Texas. This toolbox provides a simulation environment for generating impulsive noise and quantifying the performance of algorithms for parameter estimation and interference mitigation.
Version 1.1 beta (November 27, 2007) is available at
http://www.ece.utexas.edu/~bevans/projects/rfi/software.
Leadership Activities
Austin, TX [Feb. 2006 - Dec. 2007] Engineers Without Borders
Project Lead / Officer

- Led an on-going project to install internet enabled, solar powered computers in small schools in rural northern Mexico.

- Assisted in the design and implementation of a water distribution system for a small village in rural northern Mexico, including traveling to Mexico for assessment and implementation trips.
Skills
Test and measurement: Signal generators, oscilloscopes, spectrum analyzers, LabVIEW
Assembly languages: Freescale (Motorola) 6812, TI TMS320C6000 VLIW DSP
Algorithm development environments: Matlab, LabVIEW
Integrated development environments: Eclipse, IntelliJ IDEA, Microsoft Visual Studio, TI Code Composer Studio, Metrowerks Code Warrior
High level languages: C, Java, Scala, Python, VB.Net, Delphi
Scripting languages: Perl, Javascript, Bash
Design automation tools: PSpice, Multisim
Technologies: MySQL, XML, SOAP, Hadoop, Virtualization
Accomplishments
2008 Stanford Graduate Fellow
2006 Eva Woods Endowed Presidential Scholar
University Honors, the University of Texas at Austin, 2003 - 2007
References
Available upon request.