Okhaifo Oikeh

Okhaifo is working as a key contributor to the Hadron project at Crypsis.

Hadron is a project started by Crypsis group, aiming to provide Analysts with a better data collection experience, additional types of data collected, more control over the timing of data collection and enabling our analysts to initiate ad-hock, scheduled and historical data collection. In addition, data is streamed using Amazon Cloud technologies into a 3rd party investigation tool, while the team is building our own proprietary analytics and investigation user interface.

Okhaifo is one of the initial hires to the project. He is responsible for the implementing aspects of the agents for facilitating the distributed and scheduled queries that collect the necessary information from the hosts, processing the information as required, He implement the entire stack (frontend and backend) for the file carver which facilitates the download features for users to collect files (including the locked ones) and making triages on the host, initializing the project for monitoring the agents to facilitate the restart, update and uninstall of the agents, the frontend and backend (fleet) efforts for the offline collector, the server that that information is stored in, architecting and development for the new Hadron User Interface (UI) that would display the necessary information to the analysts including the dashboards, and testing the functionalities of the system. The programming languages include C++, Golang, Mysql, and Javascript (react and vanilla JS)

Pantheon is a software company with a lot of wonderful, thoughtful, intelligent, and creative software developers. They are a software contracting company that implement software primarily for the government.

• Okhaifo Oikeh is involved in the architecting and implementation of two of the projects; Agency for Health Care Research and Quality (AHRQ) and large-scale distributed system (similar to the internet) using Kubernetes for government usage as a test ground for cyber security and counter-terrorism challenges.
• In AHRQ, Okhaifo Oikeh is responsible for implementation of the parser for quality indicators to move them from standalone windows application to the cloud and designing and implementing the pipeline from the backend to the frontend to make it similar to their existing SAS application outputs.
• In the large-scale distributed system, Okhaifo Oikeh is responsible for rebuilding popular sites from the internet with tracking capabilities and provisioning purposes to help cyber security experts who work for the government to log and track their approach to mitigate a threat as it occurs.

• Make reservations and order food for delivery or pickup from restaurants in your city. Reviews of your favorite restaurants and earn points towards winning gifts and free launches. The application is available on Android and IOS
  
• Okhaifo Oikeh was responsible for designing, developing and improving the website, mobile applications and restaurant portal.
• Funded $1.2M - Series A
• $500k Revenue 2019
• Tablesasa's technology stack is as follows:
  • Android Java for Android application and  Swift for IOS application
  • Backend - Python Django framework for web deployed using gunicorn. PHP CodeIgniter for restaurant portal.
  • Frontend - Bootstrap, SCSS, materialize, CDN JS, Modernizr, Respond, jQuery, FlexSlider, Stellar.js, OWL Carousel
  • Flask for API call made from the applications to the web service
  • Latest version of mobile application made with nativescript and vueJS

• Flabug: "Exploiting Dynamic Dataflow Information to Improve Software Testing" 
• A tool that identified flaky tests and change influenced bugs in java programs through the use of Java ASM (Byte-code instrumentation), Phosphor (taint-tracking program developed by my supervisor and contributions by me) and support for version control system (e.g GitHub) and build tools (e.g Maven)

For more Information:

https://github.com/gmu-swe/flabug-paper

Farfetch (5/2018 - 9/2018) 

Okhaifo Oikeh and his team of 5 members, won a bid project by the company Farfetch to implement the web services for a subsidiary company they are planning to deploy based on interest based discounting. Okhaifo Oikeh served as team leader, responsible for budgeting, scheduling, team management and implementation of the algorithm to perform interest based discounting and the structure for frontend and backend. The technology stack for the application is: 

• • Ruby on Rails for the backend web services
  • Reactjs on webpack 4 frontend
  • React Native for mobile application
  • Farfetch Property Software 

Eboreimeoikeh.com (2016 - 2017)

Personal blog for Mrs. Eboreime Oikeh implemented using PHP for the backend. Frontend libraries and frameworks include: Modernizr, skelJS, response, html5shiv, google hosted JQuery. Okhaifo Oikeh is responsible for implementing the website.

www.usiu.ac.ke/alumni (2015 - 2016)

This is the alumni page for students recently graduated from the university, to help them keep in touch with the affairs of the university and continue being a part of the university, communicate with other graduates and find jobs. Okhaifo Oikeh was responsible for modeling the database and implementing the web design for the frontend and modules for providing services to alumni.

• Okhaifo Oikeh helped ILRI by maintaining the software for monitoring climate control and conditioning of plants and crops both in the greenhouse and on land
  
• Extended and maintained the organization's intranet and telecommunications software
  
• Configured software systems and computer users on the network
  
• Detected and Corrected errors in organization's software
  
• Improved Information Technology Security Policies
  

CloudFS: Mr. Oikeh implemented a memory cashed distributed (dropbox API) file system in Java that solves the more common challenges of distributed system: Consistency, availability and fault tolerance. Consistency was solved through implementation of a lock server and use of zookeeper for synchronous consistency though group membership and consensus. Data retrieval latency reduced through the use of Redis framework for caching data using key/value pair. Failure tolerance handled through he use of Zookeeper clusters and server leadership election.

IHome: Designed UML diagrams using magic draw and Rhapsody  for Home automated system that controls temperature, lighting, coffee maker, window blinds etc. in a household, used the UML diagrams to implement system in java and IOS to make requests to a postgres database via python flask.