Hi, I'm Moses Morris, a Software Engineer, Data Engineer, and AI Specialist with 6+ years of experience, serving clients globally. I sit at the intersection of three things most developers only do one of: I build production systems (Python/Django/Flask backends, full-stack apps, ETL pipelines), I train and evaluate AI (coding roleplay tasks, QA auditing of annotator work, persona-based evaluation for LLM behavior studies), and I write about all of it clearly (technical documentation, API guides, developer content). That combination means I don't just ship code, I can also assess whether an AI model's output on that code is actually good, and document the result so your team or your model can learn from it. What I bring to a project: Full-stack & backend engineering - Python (Django, Flask, FastAPI), JavaScript/Node.js, React, PHP (Laravel), and C, with production databases (PostgreSQL, MySQL, Redis, MongoDB). Data engineering - ETL pipeline design and troubleshooting, data pipeline foundations, structured data strategy. AI evaluation & training data - multi-turn coding roleplay evaluation, RLHF-style annotation QA, persona-based scenario testing, experience inside Microsoft Research-grade AI behavior studies. Technical writing - certified technical writer; I document what I build, which most engineers skip and most clients end up needing anyway. What differentiates me: Most freelancers offer either "I code" or "I write." I offer the full loop - build it, verify the AI/data behavior around it, and hand over documentation that a non-technical stakeholder can actually read. I also apply a Design Thinking lens (user-centered problem framing, persona development) to engineering and AI-eval work specifically - useful when the "user" is a customer, and just as useful when the "user" is the model you're trying to align. Sector experience: - E-commerce — designed and built Vantage Market, a solo luxury e-commerce platform (Flask, PostgreSQL, Redis, React, Docker). - AI/ML training & evaluation — ongoing AI evaluation contract work, Microsoft Research AI Behavior Study (Python/FastAPI in a cloud Dev Box environment). - Nonprofit/community — Kwetu Charity Organization, church community technology projects. - Healthcare admin/IT — Ngurubani Medical Services (ICT support, finance operations).…Hi, I'm Moses Morris, a Software Engineer, Data Engineer, and AI Specialist with 6+ years of experience, serving clients globally. I sit at the intersection of three things most developers only do one of: I build production systems (Python/Django/Flask backends, full-stack apps, ETL pipelines), I train and evaluate AI (coding roleplay tasks, QA auditing of annotator work, persona-based evaluation for LLM behavior studies), and I write about all of it clearly (technical documentation, API guides, developer content). That combination means I don't just ship code, I can also assess whether an AI model's output on that code is actually good, and document the result so your team or your model can learn from it. What I bring to a project: Full-stack & backend engineering - Python (Django, Flask, FastAPI), JavaScript/Node.js, React, PHP (Laravel), and C, with production databases (PostgreSQL, MySQL, Redis, MongoDB). Data engineering - ETL pipeline design and troubleshooting, data pipeline foundations, structured data strategy. AI evaluation & training data - multi-turn coding roleplay evaluation, RLHF-style annotation QA, persona-based scenario testing, experience inside Microsoft Research-grade AI behavior studies. Technical writing - certified technical writer; I document what I build, which most engineers skip and most clients end up needing anyway. What differentiates me: Most freelancers offer either "I code" or "I write." I offer the full loop - build it, verify the AI/data behavior around it, and hand over documentation that a non-technical stakeholder can actually read. I also apply a Design Thinking lens (user-centered problem framing, persona development) to engineering and AI-eval work specifically - useful when the "user" is a customer, and just as useful when the "user" is the model you're trying to align. Sector experience: - E-commerce — designed and built Vantage Market, a solo luxury e-commerce platform (Flask, PostgreSQL, Redis, React, Docker). - AI/ML training & evaluation — ongoing AI evaluation contract work, Microsoft Research AI Behavior Study (Python/FastAPI in a cloud Dev Box environment). - Nonprofit/community — Kwetu Charity Organization, church community technology projects. - Healthcare admin/IT — Ngurubani Medical Services (ICT support, finance operations).WWWW…