Alaf Azam Khan
Alaf Azam Khan
Find me at : GitHub | Angelist | SPOJ | LinkedIn | Stack overflow | HackerEarth
Experience
Envestnet Yodlee
Software Development Engineer • July 2016 — September 2017
Part of sustaining engineering team in Yodlee. Here my work is to fix bugs in existing product(Personal Finance Manager). Our stack consists of many different technologies including Node.js, SQL, Express.js, Handlebar.js, backbone.js, Java, spring and hibernate. We also developed a tool for internal usage that tracks Bugzilla productivity, using Bugzilla’s XML RPC API to fetch information about team members.
HomeYantra
Full stack Developer • (Part time after work) Sept 2016 — March 2017
HomeYantra is E-commerce for Large Appliances built in node-MySQL-angular-express stack. Initially we were a team of three developers who built the whole platform from scratch. I was the only full stack, so all frontend work and all integrations of components such as Cart, Ordering system and user profiles were my responsibility.
VisoCon GmbH Austria
Intern • July 2015 — August 2015
Made a RESTful API for Active system components version storage in python, used Docker containers to deploy it. Made a Code Chef profile Analysis Tool [Code Chef User
Education
National Institute of Technology Srinagar
Bachelors in Information Technology • 2012 — 2016
Projects
Movie Recommendation Engine
• March 2016 — July 2016
As part of final year project, we made a movie recommendation system from scratch in python. We used Movie Lense data set.For Recommendation algorithm we implemented User based CF , Item Based CF and Reverse CF .
Easy-Chat
Easy chat aims to be simple IRC-type-chat applications for 'anonymous chats'. Built upon Node, express, socket.io. It also uses awesomeplete and emojify for autosuggest-emojii support
Gnome-Maps
Open source contributions
I have done contribution in Gnome-Maps. Maps is a map application for GNOME.
Code Chef profile Analysis Tool
Crawl all solutions of given user then compare it with data of other users to show similarites and compare stats. Basic idea was to suggest our user what similar problems he cas solve based on current his solved problems and the profiles that he folow.