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Developer Computer Science

Location:
Mississauga, ON, Canada
Posted:
July 27, 2017

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Resume:

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Mississauga ON www.linkedin.com/in/hasanjafri7 416-***-**** Core Technical Skills

Programming Languages/Frameworks: Python/Django, Java, C, C++, JavaScript, HTML/CSS, Angular2, React.js, Node.js/Express, jQuery, Ruby on Rails, SQL Operating Systems: Mac OSX, Windows 10, Ubuntu, CentOS, RHEL, UNIX Other Tools: Adobe Photoshop, Adobe Illustrator, Microsoft SQL Server Management Studio, MySQL Workbench, Amazon AWS, Google Firebase, Puppet, Nginx, IBM BlueMix, Microsoft Azure, Sketch, npm/gulp/bower, MongoDB, MySQL, PostgreSQL, Microsoft Access Work Experience

Software Developer, Helping Hands July 2017 – Sept 2017

• Full-Stack Developer in charge working on and debugging the web-app and the designing of the mobile app from scratch

React.js, Ruby on Rails, PostgreSQL, React Native, HTML/CSS, Material-UI UI Developer Intern, InfoShare Systems, Inc May 2017 – July 2017

• Developed UI for e-commerce web-store which implemented a click-stream machine learning model for product recommendations (MEAN Stack)

• Developed a RESTful API for company employees to access exclusion lists, big data and other spreadsheet type information (Angular2, Django, Solr)

• Implemented Data Visualization Models using the D3.js library Angular2/4, Node.js/Express, MongoDB, Amazon AWS, JavaScript (Stripe.js, D3.js), Django, Apache Solr, Material-UI

Web Designer, Conscious Health March 2014 – Feb 2015

• Effectively designed art & design for the website using Adobe Illustrator & finalized the edits using Adobe Photoshop

• Designed the web template from scratch using pure HTML5/CSS3 along with jQuery

• Used PHP along with MySQL for database

HTML5, CSS/Sass, jQuery, PHP, SQL/MySQL, Adobe Illustrator, Adobe Photoshop Accomplishments

People’s Choice Award, NASA Space Apps Challenge 2017, Toronto May 2017

• Collaborated with NASA and CSA engineers in a group to create a sustainable environments app + hardware scheme for implementation Raspberry Pi, HTML5, CSS3, jQuery, Python (Django), Firebase, JavaScript (D3js) First Place (Best Pitch), StartHacks 2017, Laurier University March 2017

• An image-recognition app using your phone’s camera to scan and identify raw ingredients, then compiles ingredients on hand into an array and returns possible recipes the user can make using those ingredients

Ionic2 (Angular2), Ruby on Rails, Node.js, PostgreSQL, Nginx, Firebase, Bootstrap Top 5 out of 100 teams (Honors), UofT Hacks IV 2017, University of Toronto Jan 2017

• A queuing solution using the raspberry pi as a scanner for unique user QR codes to eliminate the need to physically wait in line

Raspberry Pi, Ionic2 (Angular2), Django, Firebase, Python, Material-UI Education

Computer Science & Math, Bachelor of Science & Bachelor of Math University of Toronto, Mississauga, ON Sept 2014 - Present

• Relevant Courses: Software Design (Java), Software Tools and Systems Programming

(Java), Data Structures & Algorithms(Python), Computer Organization (MIPS), Principles of Computer Networks (Java Sockets), Computer Algorithms, Computational Complexity and Computability, Algorithm Design and Analysis

Other Competitions, Events & Certifications

• UofT’s RBC Entrepreneurial Showcase (Competed against 25 rising startups from UofT)

• MaRS Discovery District – Entrepreneurship101 Certification

• YCombinator’s Startup School batch of 2017

• Ryerson Hacks (Honourable Mention) – Built a virtual workspace where people can interact with objects

Unity3D, C#, HTML5, CSS3, JavaScript, Leap Motion

• Toronto’s Legal Tech Hackathon – Built an uber-like platform to connect individuals requiring immediate help with solo practitioners in the area and easy document exchanging

React.js, MongoDB, Node.js, HTML5, CSS3, Bootstrap 3

• Global AI Hackathon (Toronto) – Used the Raspberry Pi to build a garbage bin implementation scheme and using deep learning networks, the hardware would sort the item onto either garbage or recyclable depending on the contents on the outside of the container/packaging

Python/Kivy, MongoDB, Google TensorFlow machine learning library, Raspberry Pi



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