Resume

Sackey Ezekiel Etrue

Computer scientist and software engineer specializing in distributed systems, applied AI, and human-centered tooling. I build resilient platforms and research-backed products for ambitious teams.

Focus Areas

  • Distributed systems architecture
  • Responsible AI deployment
  • Applied research prototyping
  • HCI and developer experience

Summary

Research-driven engineer with 9+ years of experience building scalable systems, leading cross-functional teams, and translating academic research into high-impact products. Comfortable shipping from prototype to production across cloud, data, and AI stacks.

Experience

2023 - Present

Lead Computer Scientist

Independent Research Lab

  • Led AI reliability platform used across 4 research teams.
  • Designed evaluators for generative models with safety and bias auditing.
  • Mentored engineers and researchers, building shared system design playbooks.

2021 - 2023

Research Engineer

Applied ML Studio

  • Built multimodal experiments for streaming prediction products.
  • Published two peer-reviewed papers on AI model evaluation.
  • Scaled inference pipelines with observability and automated testing.

2018 - 2021

Full-Stack Systems Engineer

Product Engineering Teams

  • Delivered cloud-native platforms with 99.9% availability targets.
  • Owned API design, data pipelines, and security hardening.
  • Shipped developer tooling that reduced onboarding time by 40%.

Education

MSc, Computer Science

University of Ghana

Focus: Distributed Systems & Applied AI

BSc, Computer Science

Kwame Nkrumah University

Focus: Software Engineering & HCI

Publications

Evaluating Trust in Generative Systems

Proceedings of the African HCI Conference, 2025

Reliable Forecasting Under Sparse Signals

Systems & AI Symposium, 2024

Selected Projects

Atlas Forecast

City-scale demand forecasting for mobility providers.

Stack: Python, PyTorch, Kafka, Postgres

Signal Lab

Interactive signal visualization lab for teaching and research.

Stack: TypeScript, WebGL, D3

Skills

Systems

Distributed systems, observability, reliability engineering, cloud architecture.

AI + Data

Model evaluation, experimentation, data pipelines, ML ops.

Product

UX research, human-computer interaction, developer experience.

Contact

Open to research collaborations, advisory work, and speaking opportunities.