Johan Hernandez

Maximize your model's performance with ethically sourced, high-precision datasets. I bridge the gap between raw data and machine intelligence through rigorous human verification. What I Provide: Targeted Data Acquisition: Scouring niche sources that automated scrapers miss. RLHF & Fine-Tuning: Expert human feedback to reduce model hallucinations and improve reasoning. Semantic Annotation: Precision labeling for supervised learning (NLP, Vision, or Tabular). Bias Auditing: Manual stress-testing of outputs to ensure safety and alignment. Deliverables: Clean, structured datasets (JSON/CSV) ready for immediate integration into your training pipeline. Stop training on noise—start training on ground truth.

Stop wasting tokens on generic outputs. I design high-performance prompt frameworks and audit your AI workflows to ensure professional-grade results, accuracy, and brand alignment. Specialized Services: Chain-of-Thought (CoT) Design: Developing complex prompts that improve reasoning and logic in models like GPT-4 or Claude. Prompt Refactoring: Optimizing your existing prompts to reduce latency and API costs while increasing quality. Safety & Compliance Auditing: Systematic testing to identify hallucinations, security risks (jailbreaks), or bias. Structured Output Engineering: Ensuring your AI consistently returns valid JSON, Markdown, or CSV for seamless software integration. The Goal: Transform your AI from a basic chatbot into a reliable, production-ready tool.