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Systems-first architecture
Performance, memory discipline, and predictable behavior are built into the design from day one.
Systems engineering meets machine learning
I build robust software systems and practical AI products.
I am Rotich Kibet. I work at the intersection of low-level engineering and applied machine learning, focusing on fast, dependable solutions built with C, C++, and Python.
C / C++Core systems stack
ML + CVProduction-minded modeling
TeachingData science and programming
How I Work
Designed for real-world software delivery
A workflow inspired by product platforms: clear architecture, measurable outcomes, and practical iteration from prototype to production.
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Fast model experimentation
Python-based prototypes are kept practical and connected to deployment goals early.
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Production-safe integrations
ML components are integrated into reliable software interfaces with strong observability.
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Explainable engineering choices
Tradeoffs are documented clearly so teams can maintain and scale solutions confidently.
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Iterative improvement loops
Each release cycle feeds metrics and feedback back into model and system revisions.
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Teaching as force multiplier
I share methods through teaching so teams and students can apply them independently.
About
Engineering close to the metal, with product impact in mind
I build software across machine learning and systems engineering. My current focus is low-level development in C and C++, supported by Python for experimentation and integration. I care about clean architecture, maintainable implementation, and solutions that perform under real workloads.
Capabilities
Tools and domains
Languages
CC++PythonSQLJavaScriptMachine Learning and AI
Computer VisionPyTorchTensorFlowScikit-learnTransformersSystems and Engineering
Memory ManagementPOSIX APIsNetwork ProgrammingData StructuresSystem DesignTools and Data
FastAPIDjangoDockerPandasNumPyGit
Portfolio
Selected projects
Built and in-progress work across ML, software engineering, and low-level systems.
Linear Regression in C + Python Integration
Regression model implemented in C and integrated with Python for easier experimentation and usage.
View ProjectLinux Shell in C++
Custom shell that handles Linux commands and supports output redirection using >. Piping is planned next.
View ProjectKey-Value Store
Low-level data storage project focused on performance, memory handling, and core systems design.
View Project
NDIZIAI - Banana Ripeness Classifier
Computer vision tool for classifying banana ripeness and recommending the best value-addition technique.
View Project
CropDoc (Zaodoc)
Maize disease detection project built for early crop diagnosis from images.
View Project
Cenocade - E-commerce Website
Company website for selling beef tallow products, with storefront and product browsing flow.
View Project
Language Doc App (Ogiek)
App for recording voices and storing transcripts to support language documentation for the Ogiek community.
View Project
MNIST Digit Recognition
Model for recognizing handwritten digits using the MNIST dataset.
View Project
Teaching
What I teach
Data science and machine learning for practical product use cases.
Programming in C and foundational systems thinking.
Data structures with Python and C++ implementation strategies.
Contact
Open to collaboration and engineering conversations
If you are working on systems software, ML tooling, or product-facing AI, let us connect.
Email: rotichkibetasbel@gmail.com
GitHub: github.com/Kibet-Rotich
CV: View my CV
Current Focus
2026 priorities
Building low-level systems in C/C++ with pragmatic interfaces.
Integrating ML prototypes into stable production workflows.
Expanding practical computer vision systems for local impact.