Philip Obiorah

PGDCS(UPH) M.Sc(UPH)

Facilitator at Explore ML with Crowdsource
Co - Organizer, GDG Cloud Port Harcourt ,
Facilitator, PH School of AI.
Mentor, ALC X Microsoft 4Afrika SkillsLab Program
Mentor, Google Africa Developer Scholarship
Oracle Certified Java Professional,
Co-Organizer, Google Cloud Developers Community, Port Harcourt. Software developer and Machine Learning Enthusiast
Love teaching, Community building, and technology.

Education

Ph.D in Computer Science (in-view)

Univeristy of Port Harcourt, Nigeria 2017 -

M.Sc. in Computer Science

Univeristy of Port Harcourt, Nigeria 2013 — 2015

Engagements

Web Developer/Instructor

OLOTU SQUARE TECHNOLOGIES (2017 - )
Managing and building web applications for Clients, Taught Web Development at Rivers State ICT Department (TechCreek). Trained over 250 students in Web Development.

Facilitator

GOOGLE EXPLORE ML WITH CROWDSOURCE
Facilitating Machine Learning workshops for university students or community members. Sharing feedback, reports, ideas, and best practices with the program team at Google and other facilitators

Co-Organizer, Google Cloud Developers Community, Port Harcourt.

GOOGLE DEVELOPERS GROUP
Facilitating Machine Learning workshops for university students or community members. Sharing feedback, reports, ideas, and best practices with the program team at Google and other facilitators

Community

  • Mentor, ALC X Microsoft 4Afrika SkillsLab Program (2021)
  • Mentor, Google Africa Developers Scholarship
  • Facilitator/Mentor Andela Learning Community
  • Speaker, Google Developers Group, DevFest(confrence) Accra, Ghana 2019
  • Speaker, Google Developers Group DevFest Calabar 2019
  • Presenter at Deep Learning IndabaX 2019
  • Publication

    PH SNIFF: A Packet Sniffer for Network Monitoring and Traffic Analysis

    Obiorah, P. C. Eke, B. O. & Oghenekaro, U. L. (2016) PH SNIFF: A Packet Sniffer for Network Monitoring and Traffic Analysis. Computing, Information Systems, Development Informatics & Allied Research Journal. Vol 7 No 4. Pp 129-138

    Projects

    Spam Detector For SMS Messages

    An SMS Spam Detection Application. A spam detection model in python to automatically classify a message as either spam or ham(legitimate messages). Hosting on Heroku using Flask (a lightweight web application framework)

    HELPIE - (Space Apps Challenge 2018)

    Helpie would help users prepare and protect themselves, their loved ones and their property. It enables users to get real time notification of an impending natural disaster. At the event of natural disasters when internet connection is out or very poor

    PH SNIFF

    A Packet Sniffer for Network Monitoring and Traffic Analysis

    Research Work

    Message Board Topic Modeling Using Latent Dirichlet Allocation(LDA) (on- going research work.)

    About Me

    I am very passionate about programming. I love teaching, impacting knowledge and community building. One of my major concerns is bridging the gap between the Academia and the Tech Industry.