Expertise / AI & Machine Learning
Senior AI Engineering for Product Companies
From OpenAI and Claude to TensorFlow, PyTorch and LangChain, we build production-grade AI systems spanning NLP, computer vision, generative AI and predictive analytics.
- 01Generative AI integration
- 02Predictive analytics
- 03Natural language processing
- 04Computer vision
- 05On-device ML inference
- 06Responsible AI practices
Toolbox
Tools we run in production
Chosen for performance, reliability and developer experience, and swapped when something better arrives.
Expertise
What we build with this stack
The four areas where our engineers spend most of their time.
Generative AI & LLMs
GPT, Claude and open-source LLM applications grounded in your data.
- OpenAI & Claude API integration
- RAG pipelines
- Prompt engineering
- Fine-tuning (LoRA/QLoRA)
- LLM guardrails & safety
Predictive Analytics & Classical ML
Models for churn, demand, fraud and outcome forecasting.
- Scikit-learn pipelines
- XGBoost/LightGBM
- Time-series forecasting
- Feature engineering
- Model interpretability (SHAP)
Computer Vision & NLP
Image recognition, object detection and text analysis systems.
- Object detection (YOLO)
- Image classification
- Text classification (BERT)
- Named entity recognition
- Sentiment analysis
MLOps & Model Deployment
Automated pipelines, versioning, A/B testing and drift monitoring.
- MLflow / Weights & Biases
- Model serving
- A/B testing infrastructure
- Model drift monitoring
- Edge deployment (TFLite)
Case studies
Where this stack shipped
Selected work where this expertise reached production.
Solutions
What we deliver
Custom LLM application development
Assistants and copilots built on your knowledge base.
Predictive analytics platforms
Forecasting and scoring embedded in product workflows.
AI-powered chatbots and assistants
Support and sales agents with escalation paths.
Computer vision systems
Inspection, recognition and document imaging.
Fraud detection engines
Real-time anomaly detection on transaction streams.
Recommendation engines
Collaborative and content-based filtering at scale.
Document processing and OCR
Extraction and classification across document types.
AI engineering roadmap
From opportunity assessment to implementation plan.
Results from recent engagements
Why teams pick Menna
What clients tell us mattered most.
- Production LLM deployment expertise
- Responsible AI and bias mitigation
- MLOps and model lifecycle management
- Deep domain expertise in healthcare and finance
- Data privacy-first approach
- Continuous model improvement
AI & Machine Learning FAQs
Yes, including prompt engineering, RAG, guardrails and cost optimization through caching and model routing.
Held-out test sets, cross-validation, confusion matrices, domain-expert review and, for LLMs, human-in-the-loop evaluation and automated regression testing.
Demographic bias audits, fairness-aware training, SHAP and LIME explainability and documented limitations, plus help with emerging AI regulation.
Yes, using TensorFlow Lite, Core ML and ONNX Runtime for on-device inference that works offline and protects privacy.
Start a conversation
Let’s solve a real problem together.
Whether you need software built, a network installed or a partner for a digital transformation program, your first conversation is with the people who will do the work.
We reply within one business day. Based in Addis Ababa, working with partners in Ethiopia and beyond.
- 2026
- Founded in Addis Ababa, Ethiopia
- 2
- Focus areas: software, networking & IT
- 4
- Core values: Service, Wisdom, Stewardship, Excellence
- 3
- Founding leadership team