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Jaymoh James

@jaymohjames

AI and LLM evaluation specialist applying structured quality criteria to model outputs, with a software engineering background in Django systems.

United States

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What I'm looking for

I'm seeking remote, contract or project-based work, with part-time or full-time arrangements also of interest. My professional interests include AI evaluation, generalist AI training, visual content evaluation, AI data quality, RLHF, and backend systems.

In independent, project-based work, I evaluate AI-generated content for factual accuracy, logical consistency, relevance, and instruction adherence. I compare outputs against defined rubrics and verify quantitative information and reasoning.

I assess prompts and model responses, identify errors and omissions, and apply consistent standards across tasks. I also incorporate reviewer feedback to improve evaluation accuracy.

At Biarctic International Software Solutions, I designed and developed Django backend systems for dairy and property management applications. I maintained relational databases and optimized SQL queries, contributing to over 40% improvement in query execution performance.

I also developed REST APIs and implemented authentication and role-based access controls. In my projects, I built tournament management and payment and rewards platforms with data validation, automated workflows, reporting, and testing.

Experience

Work history, roles, and key accomplishments

Software Developer

Biarctic International Software Solutions

Mar 2020 - Jun 2021 (1 year 3 months)

Designed and developed Django-based backend systems for Dairy Management and Property Management applications. Optimized SQL queries and database operations, contributing to over 40% improvement in query execution performance.

Python Django SQL REST APIs PostgreSQL MySQL Database Optimization Authentication Role Based Access Control Debugging Root Cause Analysis Network Configuration

AI & LLM Evaluation Specialist

Independent AI Evaluation & Technical Work

Evaluated AI-generated content for factual accuracy, logical validity, relevance, clarity, coherence, and overall quality. Applied structured reasoning and maintained consistent evaluation standards across tasks and datasets.