Edward Walgwe

The Academic & B2B Humanizer Engine

Upwork

Jul 2024 - Present • 1 yr 10 mos

Stop Risking Your Reputation on Robotic, "AI-Flagged" Content. 🛑 If your research paper, manuscript, or B2B blog sounds like a bot, you aren't just losing readers—you’re losing authority. Google de-prioritizes generic fluff, and academic journals reject "low-effort" AI drafts instantly. That is a leak in your career and your business. I Provide the "Human-in-the-Loop" Edge for High-Stakes Writing. I don't just "tweak" sentences. I perform deep structural surgery on AI-generated drafts to restore the nuance, logic, and "soul" that only a human expert can provide. I specialize in high-complexity niches where precision is non-negotiable. What I Deliver: ✅ Academic Manuscripts: I strip away AI-isms from research papers while maintaining 100% technical rigor and formal tone. ✅ B2B Thought Leadership: I transform dry AI outlines into punchy, high-converting blogs that sound like a CEO, not a prompt. ✅ AI-Detection Proofing: I manually rewrite repetitive patterns to ensure your work passes "Human-Score" audits with 95%+ confidence. ✅ Logical Fact-Checking: I hunt down "hallucinations" and ensure every citation and data point is grounded in reality. 🚀 The Goal: Elite Authority. Zero AI Traces. Maximum ROI. No Fluff. You used AI to save time; now use me to save your reputation. I remove the friction between a "raw draft" and a "published masterpiece." Stop looking like a bot and start looking like a leader. Ready to humanize your high-stakes content? Let’s get to work.

AI Alignment Specialist & Content Editor

Mindrift

Dec 2023 - Present • 2 yrs 5 mos

As a Subject Matter Expert (SME) and AI Tutor, I participate in high-stakes RLHF (Reinforcement Learning from Human Feedback) and SFT (Supervised Fine-Tuning) projects to train next-generation LLMs. My role involves "Human-in-the-Loop" validation to ensure model outputs are factual, helpful, and safe while maintaining a sophisticated human tone. Key Responsibilities & Impact: ✅ Adversarial Prompting: Engineered complex, multi-turn "stress-test" prompts to identify model failure modes and logical inconsistencies. ✅ High-Fidelity Rewriting: Transformed low-quality AI responses into "Gold Standard" examples that define the ideal logic and tone for the model. ✅ Fact-Checking & Veracity: Conducted rigorous research to eliminate hallucinations, ensuring 100% accuracy in technical, legal, and financial domains. ✅ Rubric-Based Evaluation: Rated model outputs based on strict dimensions of helpfulness, honesty, and harmlessness (HHH) to refine the model's reasoning paths.