100% Carnegie Mellon University Graduate Engineers (MSIT & MSEAI)
The Engineering Minds Powering NjokaLab
We are a multidisciplinary team of software architects, systems engineers, and machine learning researchers. All of us are Carnegie Mellon University alumni—combining elite academic pedigree with battle-tested production discipline across Central, East, and West Africa.
Meet Our Technical Leadership
Every platform and AI model at NjokaLab is architected and built by a diverse collective of Carnegie Mellon University graduate engineers spanning Central, West, and East Africa.
Ngeyen Victory
Applied ML Engineer
MSIT, Carnegie Mellon University
Applied ML engineer focused on efficient machine learning across equivariant neural networks, computer vision, and NLP architectures to make models lighter, faster, and greener without sacrificing accuracy.
Earned his MSIT from Carnegie Mellon University. Specializes in model pruning, quantization, knowledge distillation, and data-efficient training to enable robust deployment in resource-constrained edge environments across Central Africa and global enterprise clouds.
Serign Modou Khan
Software Engineer
MSIT, Carnegie Mellon University
Software & Infrastructure Engineer and Carnegie Mellon University graduate (MSIT) specializing in production full-stack engineering, distributed systems, and real-time observability.
His deep technical toolkit spans frontend development with React, robust backend APIs with Node.js, Express.js, REST, GraphQL, and gRPC, multi-language fluency (Java, JavaScript, TypeScript, Python), relational databases (MySQL), and cloud infrastructure with Docker, AWS, Prometheus, Grafana, Loki, and automated CI/CD (Vercel, Railway).
Manyara Bonface Baraka
Machine Learning Engineer
MSEAI, Carnegie Mellon University
Machine Learning Engineer and Carnegie Mellon University graduate (MSEAI) specializing in production AI systems and natural language processing (NLP) for African languages.
Architect of resilient multi-LLM validation pipelines, Swahili speech models, and computer vision systems. Renowned technical educator who has trained over 100+ students in machine learning as a technical mentor at Moringa School.
Nchofon Tagha
AI/ML & Systems Engineer
MSEAI, Carnegie Mellon University
AI/ML & Systems Engineer and Carnegie Mellon University graduate (MSEAI) dedicated to leveraging AI/ML and advanced data analytics to drive innovation in healthcare, fintech, and digital transformation.
His expertise spans production data science, machine learning, and software development, with a strong background in scientific research, mobile financial services (MFS), telecom infrastructure, robotics, and embedded systems architecture.
Enterprise Engineering Depth, Zero Solo Freelancer Bottlenecks
When you partner with NjokaLab, your software architecture and machine learning systems are engineered and vetted by Carnegie Mellon University graduate engineers (MSIT & MSEAI). You gain the capabilities of an elite engineering firm with high-velocity bi-weekly sprints.
100% CMU Academic Pedigree
Every lead engineer holds a Master's degree from Carnegie Mellon University in Information Technology (MSIT) or AI Engineering (MSEAI), bringing cutting-edge research directly to production code.
Telecom & Cloud Observability
From mobile financial services (MTN MoMo, Orange Money) to high-concurrency microservices, Docker, AWS, Prometheus, and Grafana, we build infrastructure with zero blind spots.
Pan-African Diverse Reach
Operating across Cameroon, Benin, Kenya, and global hubs, our diverse team combines deep local contextual problem-solving across Central, West, and East Africa with international engineering standards.
Join Our Technical Team
We are actively seeking ambitious engineers, researchers, and Engineering Interns in Cameroon, Kenya, and across the African continent. If you thrive on building high-performance software, AI speech pipelines, or scalable backends, we want to build with you.