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Magdalene Uchegbu
STEM Subject-Matter Expert (Chemistry & Mathematics) | AI Model Evaluation & RLHF
Open to collaborations
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€125per post, fixed price
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About Magdalene Uchegbu
I evaluate and train AI models using a background in chemistry and mathematics. I hold a B.Sc. in Industrial Chemistry (CGPA 4.32) and co-authored a peer-reviewed paper on the synthesis and antimicrobial activity of phenothiazine-3-sulphonamide derivatives. In that project I carried out multi-step synthesis, confirmed structures by FTIR and NMR, ran antimicrobial assays, and used molecular docking to compare compounds against standard drugs. I bring the same habits to AI model evaluation: check every claim, document the reasoning, and work to the guidelines. At micro1, I rate and rank model responses, fact-check answers, and write prompts that test model performance. I have also done data annotation across NLP, computer vision and sentiment projects at 95%+ accuracy, and solved applied machine learning tasks with GitHub, Hugging Face and Google Colab during my internship at FlyRank AI. Before moving into AI work, I taught chemistry and mathematics to 200+ students during my NYSC year, which taught me to spot where reasoning breaks down and to explain why. What I can help with: • Evaluating and ranking model responses in chemistry, mathematics and general STEM • Fact-checking scientific and technical answers • Writing prompts and questions that test model performance • Data annotation and dataset quality checks Open to remote AI model evaluation and STEM expert projects. Contact: [email removed]
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My LinkedIn audience
- Followers
- 1,108
- Est. median reach
- 480
- Reactions per post
- 5
- Median of recent posts
Public LinkedIn data · Nov 8, 2026
Recent posts
All posts on LinkedInMagdalene Uchegbu
Earlier today, we had the official kickoff of the first ever FlyRank AI internship, July 2026 Cohort. The session was handled by the CEO and Founder, Alen Malkoč, who gave us an overview of what the internship is all about and what to expect. The different learning tracks, possible career opportunities, and we also got to know our guest mentors; Jasmin Alić (Personal Branding Coach and Growth Expert), Amer Grozdanic (CEO and Co-founder, Praella), John Roman (CEO BattlBox), Dr. Deepak Bhootra (Founder and CEO, RISEUP), amongst many more professionals in diverse fields. This internship will run from July through August, and I am really excited to see what it has to offer👀🤍 Join me on this exciting journey!✨
13 reactions · 9 commentsViewMagdalene Uchegbu
I finished my Machine Learning internship at FlyRank AI back in September, and I’m only posting about it in late October because I needed four weeks to emotionally process my relationship with GitHub… For three months, I traded my usual seat in AI model evaluation (where I get paid to politely roast LLMs when they fail STEM prompts) for the builder's seat; turning open-ended ML problem statements into working prototypes using Hugging Face and Google Colab. Coming from an Industrial Chemistry background, here is my official peer-reviewed comparison between working in a lab and working in Machine Learning: 1. Safety hazard: In a chemistry lab, a bad reaction ruins your lab coat. In Google Colab, a bad loop just eats your RAM and quietly judges you. 2. Quality control: Whether you are running FTIR/NMR on a compound or pulling a dataset off Hugging Face, if your inputs are trash, your output is just confidently formatted trash. 3. The "It worked yesterday" phenomenon: Identical in both fields. Deeply personal every single time. Walking away from this cohort with working code on GitHub, a much deeper appreciation for the engineers building these pipelines, and even sharper instincts for my RLHF and STEM evaluation work. Also, I have officially earned the right to attach my certificate a month late🙂↔️🌸
5 reactions · 4 commentsViewMagdalene Uchegbu
Just earned my AI Fluency: Framework & Foundations certificate from Anthropic Academy, completed through the FlyRank AI internship. Collaborate with AI systems effectively, efficiently, ethically, and safely. Excited to keep building. #AI #Claude #FlyRank
5 reactions · 2 commentsView
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Who engages with my posts
Based on 34 people who reacted to or commented on my posts. Percentages use the profiles that could be classified.
Based on 34 people who reacted to or commented on my posts. Percentages use the profiles that could be classified.
Based on 34 people who reacted to or commented on my posts. Percentages use the profiles that could be classified.
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Booking Magdalene Uchegbu: frequently asked questions
Magdalene Uchegbu is a B2B LinkedIn creator based in Nigeria with 1,108 followers, posting about AI, Software, and SEO. On Naano, one sponsored LinkedIn post by Magdalene Uchegbu costs €125, a fixed price per post.
- How much does Magdalene Uchegbu charge for a sponsored LinkedIn post?
- One sponsored LinkedIn post with Magdalene Uchegbu costs €125 on Naano. It is a fixed price per post, the amount your brand pays. Compare with the B2B creator rates 2026 report
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- Create a brand account on Naano, choose an offer on this page and send your brief. The price is held when Magdalene Uchegbu accepts and paid when the post URL is submitted. You can turn on draft approval to review the post before it goes live.
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- Yes. With Managed Campaigns, the Naano team sets the strategy, casts the creators, writes the briefs, reviews the drafts, pays the creators and reports results per creator and campaign. It is a three-month programme: a management fee from €3,000 per month, plus a creator budget from €6,000 per month. See Managed Campaigns
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