Emillia-rosette Nlandu

Artificial Intelligence

Machine Learning

Deep Learning

Big Data

Emillia-rosette Nlandu

Artificial Intelligence

Machine Learning

Deep Learning

Big Data

About Me

Welcome. Karibu. Bienvenue.

As a software engineer accustomed to programming and developing applications; PR or self-promotion, unfortunately, is not my key strength especially this part where I am required to write about myself which as it happens is probably the most challenging. My background is mainly in Software Development. I became passionately engaged and interested in Software Development for over five years now and recently developed an interested in Artificial intelligence.

Currently researching on "Traffic Prediction using Big Data, GPUs and Artificial Intelligence methods". The research aims to provide an approach towards real-time road traffic to characterise speed, flow and occupancy to facilitate decision making for London Traffic.

Here we go, you know almost everything about me. The extra bit is that I stand for diversity in tech; hence I run coding bootcamps on a platform called Cheetah Code where I mentor and teach people from the African heritage to code.

Fun Facts
Speaks 4 Languages
Tea Lover
Music Lover
wheelchair basketball
September 2020 - Current
Technical Success Manager

• Provide a high level of service/support to all technical inquiries from strategic clients by performing the following tasks:

• Trouble-shoot cases of medium to high complexity that involve different Bazaarvoice features and products, and communicate solutions via phone, WebEx and email.

• Provide consultative guidance to assigned clients on how to resolve Bazaarvoice-related issues on their site while maintaining empathy and professionalism.

• Manage client expectations and meet or exceed time commitments consistently.

• Possess and maintain a high level of understanding of assigned client site(s) and build a collaborative relationship with the primary and technical contacts at those sites whenever possible.

• Address client escalations ensuring that internal stakeholders are provided with regular updates through issue resolution.

• Explain technical concepts (limitations, requirements, functionality) to a wide range of audiences (technical and nontechnical, internal and external teams).

• Handle all cases in accordance with documented processes and consistently meet all KPI’s (TTCR, CSAT and Utilization rates)

• Participate in or lead client meetings and demonstrate detailed technical knowledge of our product and how our clients are utilizing it on their respective websites.

• Mentor team members to ensure they are following all documented procedures and have the necessary product and troubleshooting knowledge to provide a high level of support to our clients.

• Serve as Subject Matter Expert (SME) for assigned product functionality which includes creating/maintaining documentation, performing training and serving as an escalation point.

• Work with internal teams to drive continuous process improvement across the Client Care organization.

January 2020 - May 2020
Graduate Teaching Assistant
Kingston University

Teaching lab sessions in Programming (CSharp)

October 2018 - September 2019
Entreprise Technical Support Engineer (French Market) & Leader of Trimble Women's Network UK & IRE
Trimble Maps

• Technical liaison helping to solve challenges that customers and partners encounter
• Identifying and reporting product and usability bugs and work directly with Developers, Project Managers, and Testers to resolve these.
• Working with partners to qualify enhancement specifications. Scoping these for our Product Teams to develop these for release.
• Solve challenges that customers and partners encounter with integrating Trimble MAPS products into their solutions.
• Technical liaison between other technical engineers and business professionals.

February 2018 - September 2018
Software Developer Engineer in test Consultant
Spart Global

• Developed and managed software testing strategies and cases, test design, structured exploratory/session/risk/functional/usability/performance-based testing, black box/white box techniques, defect management

• Automation: Created features, scenarios and data models using Cucumber, Capybara, Watir, Gherkin, Selenium web-driver IDE, BDD, TDD, generated with RSpec

• Web Technology: BASH, HTML5 & CSS3, JSON, XML, JavaScript, debugging and tools, web inspectors, Git and Github, RESTful APIs, C#, NUnit, information architecture, accessibility, CSS frameworks.
• Ruby and databases: Relationships and modelling, functions, classes and objects, building web apps, Sinatra, ERB Templates, Rails, validations, relationships, authentication, advanced relationships and nested resources, database interaction, SQL

• Agile: Scrum, user stories, acceptance criteria, backlog and user-story estimation and scrum meetings

2019 - 2023
PhD in Artificial intelligence
Kingston University

Estimating future traffic and road accidents using different cutting-edge technologies integrating together including Deep Learning, Big data, in-memory computing and high-performance computing.

2016 - 2017
Software Engineering
Kingston University
2012 - 2016
Teesside University
  • Analytics
  • API Development
  • Applied Mathematics
  • Databases
  • Data Engineering
  • Deep learning
  • Full Stack Development
  • Language, Audio and Video Processing
  • Machine Learning Pipelines
  • Neural Network Architectures
  • Statistics
  • Version Control
Interpersonal skills
  • Communication
  • Emotional Intelligence
  • Flexibility
  • Logical Thinker
  • Receptive & Eager to Learn
  • Self-starter
  • Teamwork
  • English
  • French
  • Lingala
  • Swahili
Get in Touch

Quick catch-up: Wednesdays and Fridays 4:30 PM until 5:15 PM


Office Address

Kingston University 
55-59 Penrhyn Rd,
Kingston upon Thames KT1 2EE
Research Office
Room SB1018 | Desk D

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