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Rajan Sawhney URL:https://rajan3012.github.io
CONTACT
INFORMATION:
Phone: (541)-954-4110
Email: rsawhney@cs.uoregon.edu
GitHub: https://github.com/rajan3012
LinkedIn: https://www.linkedin.com/in/sawhneyrajan
EDUCATION: M.Sc in Computer and Information Science, University of Oregon (Graduated June 2017)
Relevant Coursework: Algorithms and Complexity, Advance Data Structures, AI, Data Science, Probabilistic
Methods in AI, Distributed Systems, Software Engineering and User Interfaces
B.E Information Technology, University of Pune, India (Graduated May 2013)
TECHNICAL
SKILLS:
Programming and Scripting Languages: C, C++, Python, Java, JavaScript, SQL, Matlab, R, OCaml, Bash
Frameworks and Development Platforms: ReactJS, NodeJS, Express, AWS, Weka, Unity, Android Studio,
Hadoop, Arduino, Eclipse, Visual Studio Code
PROFESSIONAL
EXPERIENCE:
Graduate Research Fellow, HPCL, University of Oregon July 2016 – June 2017
• Worked as a research member, at the High-Performance Computing Lab (HPCL), on extending AutoPerf
and TAU functionalities for auto-tuning performance of simulation of large-scale scientific experiments with
Dr. Boyana Norris, a project funded by the Department of Energy (DoE)
• Used Python and Shell scripting for tracing and sampling data from experiments conducted on Edison- the
NERSC supercomputer and used Machine Learning techniques to provide code improvement suggestions
Graduate Teaching Fellow, University of Oregon Dec 2015 – June 2016
• Taught students HTML/CSS and JavaScript as part of the CIS 111 - Introduction to Web Programming course
under Prof. Patrick Holleran
• Taught students to program Raspberry PIs using Python as an introduction to IoT as part of the Hands on
with Internet of Things(IoT) course under Prof. Stephen Fickas
Software Engineer, Accenture Oct 2013 – Dec 2014
• SAP ABAP Technical Analyst - Performed analysis and code changes in ABAP programming to correct
functionality and usability issues related to the system. Successfully resolved over 50 critical system related
issues affecting the client’s business
PROJECTS: Internet of Things – Cluster controlled autonomous vehicles
• Developed a IoT system that allows Arduino based Ringo robots to work in communication with a central
server (MQTT). Used Ricart-Agrawala and Supervisor-worker algorithms to develop the system
• Developed using Python, Raspberry PIs to form the cluster and Arduino for robot programming to simulate
autonomous vehicles
Virtual Buttons – Android app
• Created an Android application using Unity and Vuforia to create Virtual Buttons to interact in an augmented-
reality setting (download here: https://github.com/rajan3012/Virtual-Buttons-in-AR)
YouTube Data Analyzer using Hadoop
• Developed a Big Data analyzer for YouTube videos using Hadoop MapReduce to obtain top viewed and top
categories from around 4,000,000 records in under 10 seconds
Compiler development
• Built a compiler in C++ to translate from Quack, an object oriented strongly types language, to C. End project
included type checking for contra/covariance, recursion support, control flow with short circuit evaluation,
and full polymorphism including dynamic dispatch mimicking C++ Virtual Method Tables
Face recognition using PCA, SVM and SOM
• Developed a MATLAB project to study various approaches used to address the face recognition problem
like Principal Component Analysis(PCA), Support Vector Machine(SVM) and Self-Organizing Map(SOM)
Simulation of Random Walk using MPI
• Designed and implemented a parallel Random Walk Simulation in C++ that calculated an iteration of multiple
random walks over a big graph data set with 10,000,000 edges in 20 seconds

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