Nasir Osman
Eager and motivated engineering and computer science double major student seeking challenging engineering co-op positions in fall 2018 to further enhance my skill set from the invaluable experience I may receive
84 San Diego Green NE
Calgary, AB. T1Y 7C5
403-607-8833
https://github.com/nmosman
https://www.linkedin.com/in/nasir-osman-276358121
EDUCATION
University of Calgary, Calgary, AB.
Bachelor of Science in Electrical Engineering and Computer Science (Combined Degree) GPA: 3.63 over last 10 courses
Expected Graduation Time: May 2020 with Internships
Activities: Problem Solving Club, VP Finance of the Financial Literacy Club, IEEE Student Branch Member, UofC Men’s Div. B Winter Basketball Intramurals Runner Up Champions (2015)
RELEVANT PROJECTS
Single Live Cell Spectrum Classifier (In Progress)
Involved in designing a workflow to correctly classify live cells by the spectrum of their force response
Implemented and incorporated statistical signal processing algorithms from papers to properly detect noise
Web based platform using the shiny package with various interactive plots involved
In progress of publishing a paper as co-author into popular journals such as Nature and other various biological science journals
Adobe Photoshop Tone Mapping Filter Plugin (2017)
Implemented a tone mapping algorithm for HDR images in C/C++
Interfaced with the SDK for Photoshop to implement the tone mapping algorithm as a plugin
UI was done using WPF in C# with managed C++ code
Sharp.AI – Intelligent Insurance Agent Bot (2017)
Build complex dialog structure using IBM Watson Assistant for frontend conversation between clients
Integrated Watson Assistant API with our node backend
Used NLP library spacy along with internal tools to create intelligent document parser for effective question answering for clients (please see www.sharpai.ca )
EXPERIENCE
Undergraduate Data Science Researcher —Microscopy and Imaging Faculty at the University of Calgary
Jan 2018 – Present
Working with an interdisciplinary team to implement a web based classifier platform which will introduce a new workflow in detecting or classifying live cells.
Utilizing R for analyzing the force response data and Shiny for the implementation of the interactive user interface.
In process of applying multivariate analysis on batches of cells to determine unique features from a given cell scan.
Back-End/Video Streaming Developer Intern – Smart Labs Ltd.
May 2017 – Dec 2017
Designed, implemented and documented REST APIs for User and Course Management
Utilized video streaming libraries and technologies including GStreamer and WebRTC for low latency real time streaming from a microscope to the client side
Implemented over the network control of a Smart Labs Microscope (SmartScope) from the client side
Research Software Developer Intern — Intelligent Integrated Sensors Lab at the University of Calgary
Jan 2017 – May 2017
Developed internal software tools for research use including android applications using both Java and C/C++.
Assisted in research projects including the generation an HDR facial image database for the biometric security labs use.
Implemented various digital image processing algorithms both from literature and from the lab itself in C/C++
SKILLS
4+ Years of Software Development Experience
Proficient in: R, C, C#, C++, Java, Javascript, ARM Assembly and Python
Experience with: Node.js, PHP, MySQL, AngularJs and ReactJs
Libraries: Tensorflow, Keras, PyTorch, Shiny
Hardware Design using Xilinx Vivado with both Verilog and VHDL
Experience in Cadence for IC Design and Altium Designer and EAGLE for PCB schematic capture
Native English Speaker with excellent written and verbal communication skills
CERTIFICATIONS
WHMIS Certified
Class 5 Clean Drivers Abstract
LANGUAGES
English (Fluent)
French (Limited Working Proficiency)
Arabic (Limited Working Proficiency)