AI Full-Stack Developer & Automation Specialist (Freelance & Open-Source Contributor) focusing on AI training & prompt optimization (2023 – Present)
Performed comprehensive evaluations of foundational models using Public Prompt Networks (PPNs) to optimize programmatic logic structures and improve reliability. Worked on assessing outputs to minimize context hallucinations through prompt and logic tuning across AI workflows. Supported OpenTrain platform-aligned operations involving rigorous context evaluations and domain data labeling assignments. • Evaluated model behavior via prompt network-based testing • Tuned prompt structures to reduce hallucinations • Optimized model reliability and consistency • Conducted domain data labeling assignments as part of training operations