Rena Bracha

I have extensive experience evaluating and training classical machine learning models to near-perfect accuracy. I leverage my linguistic and functional QA skills in software localization to ensure comprehensive coverage of training data and deliver actionable insights that improve model performance. I am well-versed in language subtleties, tone, emotional cues, and semantic clarity. Experienced in assessing LLM-powered applications, crafting robust prompts, designing workflows, and implementing AI systems that bridge the gap between raw language data and business outcomes. Skilled at structuring workflows and translating conceptual ideas into prompt chains and LLM-compatible solutions. I have a strong aptitude for rapid learning and self-initiated research, with a proven ability to adapt to emerging technologies and tackle novel challenges in a fast-evolving AI landscape. Strong background in software localization and customer success, coordinating across global, cross-functional teams to ensure alignment with client goals and successful delivery of complex projects. Bilingual in English and native in Japanese, I am passionate about building AI systems that reflect human-like understanding and enable reliable, culturally aware communication. 📬 Let’s connect — especially if you're working on LLM agents, prompt engineering, or AI applications in multilingual or high-context domains. 📩 rena.bracha@gmail.com 📂 Portfolio: github.com/topics/prompt-engineering?q=user%3Arenabracha