CMUMC Web Platform

A time crowdsourcing platform aiming to connect the supplies and needs from CMU students.

Main Features

• Enter in a helper mode or receiver mode and switch mode


• Post a helper or receiver type post and edit post


• Filter and search posts


• View and manage tasks


• Direct messaging and task status notification

Techology used

• Python/Django Framework
• HTML5, Bootstrap, CSS
• Ajax, jQeury
• Twilio & Google Maps API

Want to try this web app? Click here CMUMC.

• Date: November 2016
• Category: Web Application Development

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Resource Management Tool

A resource management Tool to enable managers at CMU SEI to assign resources and analyze balance efficiently

Main Features

• Project view to manage monthly and cumulated project expenses and budgets


• Team view to manage team projects and employee utilization as a team


• Employee view to manage employee time utilization and project assignment


• Permission for different roles enforced

Techology used

• Python/Django Framework
• HTML5, Bootstrap, CSS, D3

• Date: September 2016
• Category: Web Application Development

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Twitter Analytics Web Service

Analyze Twitter datasets to provide answers to specific and range queries, ranked in the first place in a live test for specific queries

Main Features

• Implemented Extract, Transform and Load on a large data set (1TB) and loaded into MySQL and HBase


• Designed and optimized MySQL and HBase databases to improve throughput and scale


• Developed back-end servers to handle specific and range queries

Techology used

• Hadoop, MySQL, HBase

• Date: April 2016
• Category: Cloud Computing

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Cloud Analytics Engine

Experienced different types of analytics engine for the Cloud

Main Features

• Experienced batch processing, implemented an n-gram count and built a probabilistic language model


• Developed distributed iterative applications on large datasets using the Apache Spark framework and analyzed the Twitter social graph using PageRank to find the most influential users on the network


• Used Kafka and Samza to join multiple streams of GPS data for a driver matching service like Uber

Techology used

• Hadoop, Apache Spark, Kafka, Samza

• Date: March 2016
• Category: Cloud Computing

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Scaling, Elasticity and Failure

Learned methods to deal with scaling, elasticity and failure issues, such as caching, sharding, replication, auto-scaling

Main Features

• Configured and deployed a Load Balancer along with a VM Scale Set on Azure as well as an Elastic Load Balancer along with an Auto Scaling Group on AWS and improved the performance by designing auto-scaling policies


• Implemented a load balancer using the Round-Robin strategy and improved with an efficient load distribution strategy to balance resource utilization while monitoring the health of instances and handling instance failures


• Built a web service utilizing caching and compared the performance improvement of different caching strategies

Techology used

• Hadoop, Azure, AWS

• Date: February 2016
• Category: Cloud Computing

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Distributed System

Learned basic concepts and techniques used in distributed systems

Main Features

• Worked on J2EE programming to develop a web application searching pictures based on MVC design model


• Developed a web application with cryptograph and security techniques like AES and RSA


• Built web service applications using different design styles, such as RMI, RPC and the RESTful interface


• Applied Java Message Service to implement Chandy-Lamport Snapshot Algorithm for global state counting

Techology used

• J2EE, cryptograph techniques, JMS...

• Date: September 2015
• Category: Distributed System

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