Available for opportunities

Mboh Bless Pearl Nchongboh

AI Engineer & Software Developer

Engineer passionate about deployable and scalable machine learning and software systems. Experienced in working with Vision, Language and in a few cases the Audio modality, ~5 years of combined engineering.

📍Kigali, RWA
📞+250798287701
Mboh Bless Pearl Nchongboh

Work Experience

Professional journey and career highlights

Research Associate

Jan 2025 - PresentCurrent

Working and researching on projects that need integration and improvements in their use of ML models and also developing applications around the ML models

  • Reduced model inference latency by 60%
  • LLMs
  • Computer Vision
  • Led multiple teams and projects
PythonPyTorchKubernetesAWSDockerAI Agents

Research Assistant

May 2024 - Aug 2024

I designed and built the first version of an automated AI-driven security report generation system for Android application scans. My work focused on extracting and structuring relevant features from large, unstructured scan files to make them usable by language models and multi-agent analysis pipelines. I evaluated multiple LLM approaches, including fine-tuning, RAG and advanced prompting methods, to determine the most reliable strategy for vulnerability analysis. To handle heavy workloads under limited compute, I implemented a queue-based bulk-processing system optimized for open-source models running on constrained, self-hosted infrastructure.

  • Delivered the first production-ready AI security report generator for Android application scans
  • Built a robust feature-extraction pipeline that improved model context quality and reduced noise from large scan outputs.
  • Performed systematic evaluation of LLM approaches (fine-tuning, RAG, chain-of-thought prompting) and identified the most effective configuration for security analysis.
  • Designed and deployed a scalable, queue-based processing system that enabled reliable bulk report generation despite limited server capacity.
TensorFlowPythonDockerGCPOllamaGroqLLM APIs

Education

Academic background and qualifications

M.S. in Engineering Artificial Intelligence

Artificial Intelligence

Jul 2023 - Dec 2024
3.52 GPA

Focus on machine learning, deep learning, and natural language processing.

Relevant Courses:

Deep LearningNatural Language ProcessingComputer VisionReinforcement LearningIntroduction to Machine learningDeep Learning SystemsIntroduction to Question answering

B.S. in Software Engineering

The ICT UniversityYaounde, CMR

Computer Science

Oct 2020 - Jul 2023
3.48

As a Software Engineering student at The ICT University in Yaounde, I completed a rigorous program that strengthened my foundations in computer science and practical software development. I worked extensively with algorithms, data structures, databases, operating systems and software architecture while also building real applications across web, mobile and cloud environments. The program trained me to approach problems with an engineering mindset, focusing on scalability, maintainability and clean system design. I also gained experience working on team-based projects, applying industry tools and methodologies to plan, build and deploy software solutions.

Relevant Courses:

Data Structures and AlgorithmsDatabase SystemsOperating SystemsSoftware Engineering PrinciplesObject-Oriented ProgrammingWeb Application DevelopmentMobile Application DevelopmentComputer NetworksCloud ComputingArtificial Intelligence Fundamentals

Skills & Expertise

Technical proficiencies and capabilities

Machine Learning

PyTorch
95%

Deep learning model development and deployment

TensorFlow
85%

Production ML pipelines and model serving

Programming Languages

Python
95%

Expert in Python for ML, data science, and backend development

TypeScript
90%

Full-stack development with TypeScript and Node.js

Tools & Infrastructure

Docker
90%

Containerization and orchestration

Kubernetes
85%

Container orchestration and deployment

Recent Research

Latest publications and academic work

View all →
2023

Hello Afrika: Speech Commands in Kinyarwanda

George Igwegbe, Martins Awojide, Mboh Bless, Nirel Kadzo

Data Science Africa

Get In Touch

Have a project in mind or want to collaborate? I'd love to hear from you.