Stephen Oginga Software Engineer, AI Engineer
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Professional Summary
AI and data-driven professional with one years of hands-on experience in data engineering, and AI-enabled decision-support systems. Strong foundation in machine learning fundamentals, data preprocessing, model evaluation, and building scalable data pipelines that support intelligent applications. Experienced in translating business and operational challenges into structured data products and AI-supported solutions. Passionate about developing production-ready AI systems and continuously learning emerging technologies including modern cloud-based ML platforms.
Technical Skills
AI & Machine Learning: ML fundamentals (supervised & unsupervised learning), model evaluation metrics, prompt engineering fundamentals, Retrieval-Augmented Generation (RAG) concepts,
Data Engineering & Preparation: ETL pipelines, data modeling, APIs, data cleaning & preprocessing, feature preparation, SQL optimization
AI Systems & Integration: REST APIs, backend logic development, structured data exchange, system integration testing
Tools & Tech: Python, Go, SQL (PostgreSQL), Git, REST APIs, Basic familiarity with Google Cloud Platform (GCP) concepts
Ways of Working: Agile collaboration, documentation, stakeholder communication, testing & validation workflows
Product & Design: UI/UX principles, user-centered system design, requirements translation

Work Experience

Job title: Software Developer (Data-Focused)
Zone01 Kisumu | March 2024 – December 2025
Built end-to-end ETL pipelines transforming raw transactional and operational data into structured, analytics-ready datasets suitable for AI and decision-support applications.
Applied structured data preprocessing techniques to improve data quality and reliability for downstream analytics and machine learning use cases.
Modeled and optimized 8+ PostgreSQL schemas, reducing query latency by up to 40% through indexing and normalization.
Translated complex business rules into accurate, testable data transformations, improving data reliability and stakeholder trust.
Automated data validation and reconciliation workflows, reducing manual effort by 70% and improving data quality.
Collaborated with non-technical stakeholders to clarify requirements and present insights clearly.
AI & Applied Projects
AI-Powered Decision-Support Agent
GitHub: https://github.com/MargaretKerubo/housing-safety-advisory-agent.git
Designed an AI-enabled advisory system that evaluates housing options by reasoning over safety trade-offs such as commute patterns, time of travel, budget constraints, and contextual risk factors.
Implemented structured prompt engineering for logical, explainable AI responses
Applied data preprocessing techniques to structure contextual inputs
Integrated retrieval-based knowledge augmentation aligned with RAG principles
Structured outputs for transparency and explainability
Demonstrated applied AI reasoning aligned with real-world decision-making use cases

Educational Background
Power learn Project Academy | January 2020- September 2020
Diploma in Software Engineering

Kenya Highlands University | 2017-2020
Bachelor of Procurement and Supply Chain Management

Certifications
Jobberman Soft Skills Training Certification
Core Strengths
Analytical & critical thinking
Problem solving & structured reasoning
Rapid learning & adaptability to emerging AI technologies
Business-to-technical translation
Attention to detail in testing, documentation & data governance
Collaborative teamwork and effective communication

Subjects

  • Artificial Intelligence Beginner-Expert

  • Coding and programming Beginner-Expert

Experience

  • Technical Lead (Jan, 2026–Present) at Codevertex IT SOLUTIONS

Education

  • Diploma in Software EngiNeering (Jan, 2022–Dec, 2022) from Power Learn Project, Nairobi

Fee details

    KSh500–2,000/hour (US$3.86–15.46/hour)

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