Software Engineer

Kiran Suresh

*****.******@***.*** 480-***-**** www.linkedin.com/in/sureshkiran

SUMMARY

Computer Engineer

graduate with

experience in Software

Engineering and

Machine Learning,

looking for full-time

opportunities.

EDUCATION

ARIZONA STATE

UNIVERSITY

MS IN COMPUTER

ENGINEERING

Dec. 2019 GPA:3.5/4.0

BSE IN COMPUTER

ENGINEERING

May 2018 GPA:3.6/4.0

SKILLS

PROG. LANGUAGES

Python • Java • Scala •

C/C++ • MATLAB •

JavaScript • HTML/CSS

OPERATING

SYSTEMS

Linux • ROS • VXWorks

SIMULATION/

TOOLS

git • Gazebo • gem5 •

Simulink

FRAMEWORKS/

LIBRARIES

Apache Spark • OpenCV

• OpenCL • Mockito •

PyTorch • TensorFlow •

Angular JS

DATABASE/OBJECT

STORAGE

SQL • MongoDB • S3

DEVELOPMENT

BOARDS

Rasberry Pi • FPGA •

Intel Galileo • Arduino

PROFESSIONAL EXPERIENCE

Amazon Software Development Engineering Intern Seattle, WA May 2019 - Aug. 2019

• Developed a user permission auditing tool for Amazon's Facebook Business Account.

• Integrated with Amazon S3 and used REST API calls to validate users and store it's results.

• Collaborated with Facebook engineers to identify and fix bugs on Facebook Business SDK.

• Followed production level Java coding standards and Agile software development process.

• This automated tool eliminated 40 hours of manual labor every month. ASML Software Development Intern San Diego, CA June 2018 – Aug. 2018

• Developed a customized profiling tool in C that provide statistics on performance of a code.

• Designed the tool for compatibility across multiple Intel Architectures and Operating Systems.

• This tool helped boost software speed by 60% and Agile development methodology was used. Blockchain Research Lab (ASU) Research Assistant Tempe, AZ Oct. 2018 - Present

• Developing a Proof of Concept blockchain to account for security of IOT devices on IOTA.

• Emulate energy flow between EV vehicles and chargers using IOT devices to track energy flow.

• Provide experimental test-bed to assess the feasibility of real-time management of energy flow. CenturyLink Product Development Intern Monroe, LA May 2017 – July 2017

• Designed websites on Single Page Application format in a group of 4 - AngularJS & HTML/CSS.

• Designed the UI with interactive graphs for billing, account and network information.

PROJECTS

• Utilized Google’s Cloud Vision API to create an Android app in Java that recognizes objects in real time and provides audio feedback to assist people with visual impairments.

• Developed & ran spatial queries on a taxi cab database in a team of 6

– Implemented user-defined functions using SparkSQL and Scala to run various spatial queries on geographic coordinates and real-time location data of customers.

– Implemented hot cell analysis using spatial statistics to spatio-temporal big data in order to identify statistically significant hot spots for taxi pick ups using Apache Spark.

– Implemented hot zone analysis using rectangle data set and point data set as inputs.

• Coded a file locking and file transfer service application in C++ with User Datagram Protocol

(UDP) in a client-server architecture using socket programming.

• Coded a textual entailment application using neural networks in PyTorch to predict if line 1 entails, contradicts or is neutral to line 2 with 88% accuracy using GloVe representation.

• NASA Psyche Mission (ASU Capstone Project)

– Built an imaging system that provides consistent images for all textures of meteorite samples.

– Coded the system to embed metadata in images with NAPS2 open source scanning software.

– Developed a driver in C that controls the scanner hardware and its movement.

• Designed an AI tweet patrol software in Python in a team of 4, that rates tweets on a scale of 5 based on malicious content using Sigmoid layers in a Neural Network (Desert Hacks 2017).

• Built a face recognition system using stereo cameras to estimate depth to better recognize faces with 94% accuracy using ROS and OpenCV in an interdisciplinary group of 5.

• Analyzed event handler and signaling workings under different conditions in a multi-threaded program in Linux using kernel shark and built a redistributing signal library.

COURSEWORK

Data Processing at Scale Artificial Intelligence Statistical Machine Learning Perception in Robotics Natural Language Processing Mobile Computing Computer Networks Foundations Of Algorithms Coordination Of Multi-Robot Systems Embedded Systems Programming Computer Architecture Operating Systems Random Signal Theory

ACHIEVEMENTS & ACTIVITIES

• #HackHarassment & Silicon Valley Bank’s Diversity & Inclusion Award at Desert Hacks 2017

• Top Healthcare Hack Award at South West Hack 2017

• Fundamentals of deep learning for computer vision course - NVIDIA Deep Learning Institute

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