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Ceo B.

Ceo B.

Software Engineer (Kenyatta University) — rubric-based code and solution review aligned to AI evaluation principles

Kenya flagN/A, Kenya

Key Skills

Software

No software listed

Top Subject Matter

AI code evaluation and review / software quality rubric-based assessment
AI research evaluation style review of generated code and system design answers

Top Data Types

Computer Code ProgrammingComputer Code Programming

Top Task Types

Question AnsweringQuestion Answering
Text GenerationText Generation
Computer Programming/CodingComputer Programming/Coding
TranscriptionTranscription

Freelancer Overview

Software Engineer (Kenyatta University) — rubric-based code and solution review aligned to AI evaluation principles. Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Doctor of Philosophy, Makerere University. AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation and Rating.

Labeling Experience

Senior Software Engineer (Kenyatta University) — evaluation/rubric-based code & system review practices

Performed system and code evaluation work by reviewing technical solutions for reliability, correctness, security, testing adequacy, and performance characteristics. Produced structured, implementation-oriented feedback including what was wrong, why it mattered, how to fix issues, and how to test improvements using automated quality gates. Strengthened consistent evaluation practices by introducing checklists and documentation artifacts (e.g., ADR-style decisions and runbooks) suitable for AI research evaluation workflows assessing generated technical content. • Led code review standards and introduced review checklists to reduce recurring defects and improve onboarding • Implemented CI/CD quality gates (linting, type checks, unit/integration tests) to support consistent evaluation • Improved observability (structured logging and dashboards) to enable faster incident triage and clearer ownership • Authored technical documentation (ADR decisions, runbooks, debug guides) to standardize evaluation and troubleshooting

2022 - Present

Software Engineer (Kenyatta University) — rubric-based code and solution review aligned to AI evaluation principles

Provided structured, actionable feedback on code quality by evaluating correctness, edge cases, security, performance, and adherence to style conventions. Applied rubric-like checklists and review standards to identify common failure modes such as missing constraints, faulty assumptions, incomplete error handling, weak tests, and inefficient complexity. Contributed to consistency in grading and improvement of technical solutions through clear documentation and measurable engineering standards across asynchronous teams. • Evaluated REST/GraphQL API implementations against validation, pagination, error handling, and security expectations • Wrote and used review checklists/templates to standardize feedback across varied code contributions • Identified defects and risk areas (tradeoffs, timelines, and failure handling/observability considerations) • Improved quality via test strategy expansion using PyTest/Jest and smoke tests for critical paths

2018 - 2021

Education

M

Makerere University

Doctor of Philosophy, Computer Science

Doctor of Philosophy
Not specified

Work History

K

Kenyatta University

Senior Software Engineer (Backend)

N/A
2022 - Present
K

Kenyatta University

Software Engineer (Full-Stack)

N/A
2018 - 2021