TEST BANK For Evidence-Based Practice for Nurses Appraisal and Application of...
Can koc
1. Can Koc
Education:
University of California, Berkeley.
•B.S in Electrical Engineering and Computer Science Class of 2017
•Courses taken: Structure and Interpretation of Computer Programs, Data Structures, Machine
Structures, Linear Algebra, Multivariable Calculus, Discrete Math & Probability, Efficient Algorithms and
Intractable Problems, Artificial Intelligence, Machine Learning, Operating Systems, Statistics & Probability
Experience
APPLE INC., SOFTWARE ENGINEERING INTERN
• Working on an end-to-end scalable Machine Learning Project in Apple Maps Team.
• Using deep learning on convolutional neural nets with Caffe framework.
TUBEMOGUL, SOFTWARE ENGINEERING INTERN
• Worked as platform engineering intern in Real Time Bidding Team.
• Developed a lightweight system that submits native ad campaigns to other business platforms.
• System is designed to be able to identify and recover from data loss using a logging schema.
• Used ad data analytics. logging algorithms, distributed data structures and Rest APIs.
RESEARCHER, UC BERKELEY ROBOTICS LAB
• Currently working on a research paper in Biomimetic Millisystems Lab.
• Worked on search algorithms & simulations for small robots.
• Using principles of AI and Machine Learning for autonomy in robot behavior.
Projects
ATLAS
• Landmark recognition using Deep Convolutional Neural Networks and SVM optimized with TFIDF.
• Used Clarifai API’s to get the text corpus and Amadeus API’s for travel option.
OSIRIS PRODUCT
• Android Twilio application that lets user access weather, get directions and yelp search while
being completely offline. a
• Used API’s from Google Maps, Google Weather, Yelp and Google Translate to build a multipurpose
service.
HANDO
• Developed a web application that allows user to control his/her own house door. Used raspberry pi
to control the doorknob.
UC BERKELEY TRAVELLING SALESMAN COMPETITION
• Competed in teams to solve instances of NP-Complete non-partisan travelling salesman problem.
• Ranked 55 out of a total of 168 competing teams.
CAVE DOGER, ANDROID GAME APP
• Designed and built the backend for an android game that combines a variant of flappy bird with
the famous meme “doge”.
HABITO.ME
• Developed a Django web app that matches listings for users based on their profile. Used “stable
marriage” algorithm to increase the accuracy.
Skills
Proficient: Java, Python, C, MySQL, NodeJS, Django, Maven, Git, Amazon S3-SQS
Experienced: Android,NumPy, SciPy, scikit-learn, Apache-Spark, MATLAB, V-rep, LaTeX, Scheme, Lua
415-802-5332 / cankocATberkeley.edu / www.cankoc.io
github: cankoc95