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Our Engineers

The engineers for your team are already here.

Every engineer had already passed eight assessments and 700 hours of training before entering our pipeline.

Tenacious engineering team

The Selection Process

Every Tenacious Intelligence engineer passes a rigorous verification cycle.

01

Talent Acquisition

Rigorous sourcing from top-tier academic and professional hubs.

02

Domain Selection

Precision alignment with specialized engineering verticals.

03

Motivation/Conditions Fit

Ensuring long-term commitment and operational synergy.

04

Technical Assessment

Scored 0-10 with exhaustive technical documentation of results.

05

International Readiness

LEAP framework evaluation for global collaboration standards.

06

Match to Role

AI-assisted mapping of skills to client-specific requirements.

07

Pre-Interview Prep

Integrated delivery within 14 business days.

08

Client Interview

Direct stakeholder engagement for final confirmation.

Our Engineers

You will work with engineers like these.

Tesfaye Alemayehu

Generative AI, Machine Learning & Software Engineer

Tesfaye graduated in the top 5% of his Software Engineering class, completed 10 Academy with honours, and holds Microsoft Azure and AWS certifications — he has been delivering across data engineering, machine learning, and GenAI at Tenacious since 2024.

Career Track

Generative AI and Data Engineer

Tenacious Intelligence

Machine Learning Engineer

Gebeya Inc.

Software Engineer

ETTA Ethiopia Taxi

Academic Pedigree

Addis Ababa Science & Technology

Bsc Degree in Software Engineering

10 Academy

Machine Learning, Data Engineering & Web 3

Gebeya Inc.

Data Engineering with Azure

Certifications

AWS CLOUD PRACTITIONERAZURE DATA ENGINEERAZURE ADMINISTRATORAZURE FUNDAMENTALSDEEP LEARNINGGENERATIVE AIDATA ENGINEER
10 Academy
AWS Cloud Practitioner
Azure Data Engineer
Azure Administrator
Azure Fundamentals

Rahel Abreham

Data Scientist

Rahel brings over four years of production ML experience across advertising technology and data science — including three years at Adludio in London progressing from Data Scientist to Senior ML Engineer — and currently serves as Data Science Manager at a London-based audience platform while contributing to Tenacious engagements.

Career Track

Data Science Manager

Ozone | The Audience Connection

Senior ML Engineer

Adludio

Software Engineer

Apposit LLC

Academic Pedigree

Mekelle Institute of Technology

Bsc Degree in Computer Science and Technology

10 Academy

Data Science

Mekelle University

BA in Accounting and Finance

Certifications

AISKIT CAMP AFRICAIBM DATA SCIENCEQC HACK 2022
10 Academy
QC Hack
IBM

Filimon Haylemariyam

AI Engineer | Machine Learning | Server Engineer

Filimon brings a rare combination of ML engineering and infrastructure depth, four years running enterprise servers at BGI Ethiopia with 99.9% uptime, then 10 Academy's intensive AI fellowship in 2025, where he built end-to-end ML pipelines, RAG systems, and MLOps deployments using Docker and CI/CD. His solutions are production-ready because he understands what production actually demands.

Career Track

AI Engineer

10 Academy

Server Administrator

BGI Ethiopia PLC

IT Support Technician

Commercial Bank of Ethiopia

Academic Pedigree

Hawassa University

Bsc Degree in Computer Engineering

10 Academy

Machine Learning , Data Engineering & Web 3

Certifications

ML ENGINEERINGAZURE FUNDAMENTALSDATA BRICKDATA ENGINEERINGRAG SYSTEMS EXPERT
10 Academy
Azure Fundamentals
Credential
Kaggle

Talent Stories

What it takes to get here.

These engineers didn't arrive through a job board. Every one of them survived a 700-hour assessment that less than 5% of applicants complete. Here's what that journey looks like from the inside.

Michael Fisseha

Michael Fisseha

AI Engineer

The moment that changes you as an engineer is when you stop thinking about finishing the work and start thinking about what the client actually needs from it.

IN PRODUCTION

He works across live AI delivery engagements where client outcomes — not task completion — define the standard. His work involves real integrations, real workflows, and clients who notice the difference.

THE EDGE

10 Academy's 700-hour program built his technical foundation under conditions designed to remove engineers who can't sustain quality under pressure. He was one of the fewer than 5% who made it through.

THE STANDARD

He trains monthly and works with production-grade AI tooling as a baseline. The level he arrived at is actively maintained.
Belay Birhanu

Belay Birhanu

QA & UI Automation Engineer

Anyone can increase test coverage. The real work is making the suite reliable enough that the team stops fearing deployment day at production level.

IN PRODUCTION

He rebuilt a client's entire test automation suite in Playwright — taking test case output from a manual baseline to nearly 4x at peak. Release cycles shortened. Regression defects dropped. The client shipped more frequently without scaling the QA team.

THE EDGE

He eliminated the flaky locators and ambiguous test structures that quietly erode sprint confidence — the kind of technical debt most QA engineers work around rather than fix. The result was a suite the development team could actually trust.

THE STANDARD

He measures his work by one thing: whether the client releases with confidence. Broader coverage, fewer post-release defects, and better ROI per sprint are the outputs — but deployment confidence is what he's actually building toward.

Our engineers are ready. Is your team?

Every Tenacious engineer has already passed eight assessments and 700 hours of training — your next embedded engineer is ready the moment you are.

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World map showing client locations — Ozone, Modo Yoga, Brookfield, Kifiya, Computrition