Senior AI and Data Associate · Accra, Ghana

I build AI and data systems that make high-stakes work more reliable.

I work across enterprise LLM evaluation, AI adoption, automation, data platforms, and applied machine learning - connecting technical depth with practical business decisions.

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Enterprise AIEvaluation, adoption, and automation

Data systemsPlatforms, pipelines, and analytics

Applied MLComputer vision, optimization, simulation

Selected work

Proof of work, not a technology list.

Selected engagements are described at a public-safe level. Details focus on the decision, approach, and engineering work.

Enterprise AI · Genser Energy

Enterprise LLM evaluation and adoption

Built a repeatable evaluation approach to inform enterprise model selection and practical AI adoption.

Problem: Assess models for real finance, compliance, and reporting workflows.
Approach: Benchmarked DeepSeek, Qwen, and Kimi against Claude; built a structured harness across four models; supported use-case discovery and token-efficient adoption.
Outcome: Created clearer decision support for model selection and enterprise AI rollout.

LLM evaluation · AI adoption · Tool use · Enterprise architecture

Data and ML · Kofa Technologies

Battery-network decision systems

Built data products and modelling systems for an IoT battery-network and e-mobility business.

Problem: Improve decisions across pricing, network expansion, and operational planning.
Approach: Built AWS pipelines and dashboards, location-optimization models, and a discrete-event simulation of battery-network dynamics.
Outcome: Supported deployment planning and network expansion; pricing work contributed to approximately 15% customer savings.

Python · AWS · PySpark · SQL · Simulation · Optimization

LLM engineering · Turing

Multi-agent benchmark engineering

Designed reproducible evaluation tasks and protocols for coding agents and foundation models.

Problem: Evaluate coding models against realistic engineering work without unreliable task definitions.
Approach: Created multi-agent benchmark tasks, Docker-based validation workflows, decomposition strategies, and contamination-resistant prompting protocols.
Outcome: Enabled structured, repeatable evaluation across software-engineering tasks.

LLM evaluation · RLHF · Docker · Agents · Prompt design

Also built

Coukoo - image deduplication for AI datasets ↗Bitcoin Lightning Network Stats Builder ↗EIT Dashboard ↗

Experience

Senior technical work across AI, data, and real operations.

Aug 2026 - Present
Senior AI and Data Associate Genser Energy
Enterprise LLM benchmarking, AI use-case discovery, automation architecture, and organization-wide AI/data strategy.
Jul 2025 - Jul 2026
AI Python Engineer Turing
Multi-agent benchmarks, LLM evaluation, fine-tuning, prompt design, and reproducible coding-model protocols.
Jan 2022 - Jun 2025
Senior Data Engineer and Scientist Kofa Technologies
Founding data-team member delivering data pipelines, analytics, optimization, and simulation for e-mobility operations.
Jan 2020 - Jan 2022
Senior and Staff Data Scientist AmaliTech Services GmbH
Computer vision, sensor-data alignment, and LiDAR-data work for rider-assistance systems.

Technical expertise

Broad enough to build the system. Focused enough to make it work.

Enterprise AI and LLM systems

OpenAI APIs and Agents SDK, Anthropic tool use, MCP, LangChain, LangGraph, LlamaIndex, PydanticAI, Azure AI Foundry, vLLM, LiteLLM.

Data and ML platforms

Python, SQL, Spark, Databricks, Kafka, Airflow, Prefect, MLflow, Weights & Biases, Feast, Ray, computer vision, optimization, and simulation.

Production engineering

FastAPI, Docker, Kubernetes, Terraform, CI/CD, PostgreSQL, Redis, pgvector, Qdrant, Weaviate, Pinecone, FAISS, Prometheus, and Grafana.

About

Technical work is only useful when it improves a real decision or workflow.

I am a senior AI and data professional with a background in statistics, data engineering, machine learning, and enterprise AI. I enjoy taking ambiguous operational problems, creating a rigorous technical approach, and helping teams use the result with confidence.

My work sits at the intersection of model evaluation, data systems, automation, and applied machine learning.

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