𝟏,𝟎𝟎𝟎 𝐟𝐨𝐥𝐥𝐨𝐰𝐞𝐫𝐬 𝐨𝐧 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧. Eight months ago, I rebuilt this LinkedIn profile as an 𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐢𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 I had no portfolio, no professional network outside The Gambia, and no clear specialization. Since then, I've focused on one thing: 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐨𝐫𝐢𝐞𝐧𝐭𝐞𝐝 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐚𝐧𝐝 𝐬𝐡𝐚𝐫𝐢𝐧𝐠 𝐰𝐡𝐚𝐭 𝐈 𝐥𝐞𝐚𝐫𝐧 𝐩𝐮𝐛𝐥𝐢𝐜𝐥𝐲. Here's what those eight months looked like: → Built and deployed seven end-to-end machine learning projects. → Deployed a cloud-native fraud detection API on AWS. → Benchmarked 13 fraud detection models and learned why F1 alone can hide serious production issues. → Earned the Google Cloud Professional Machine Learning Engineer certification. → Turned technical project reports into writing samples for future MSc applications. → Began building toward a career in ML Systems Engineering and MLOps for FinTech. 𝐓𝐡𝐞 𝐧𝐮𝐦𝐛𝐞𝐫 𝐢𝐬𝐧'𝐭 𝐭𝐡𝐞 𝐩𝐨𝐢𝐧𝐭. What 1,000 followers means to me is that 1,000 people found value in the work I've shared—whether it was a lesson about evaluation metrics, a deployment architecture, or an MLOps workflow. Thank you to everyone who has followed along, shared feedback, challenged my thinking, or simply encouraged me to keep building. The next milestone isn't another follower count. It's contributing to a team building production machine learning systems—through a remote role, a freelance engagement, or a relocation opportunity. Until then, I'll keep building, documenting, and learning in public. 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐟𝐫𝐨𝐦 𝐓𝐡𝐞 𝐆𝐚𝐦𝐛𝐢𝐚 🇬🇲 #MachineLearning #MLOps #MLSystems #FinTech #BuildingInPublic #CloudComputing

I changed one line on a client's LinkedIn headline.

By next evening: 4 inbound messages from strangers. One became a discovery call.

Same person. Same offer. Different promise.

Your headline isn't a label - it's a landing page.

Comment "HEADLINE" and I'll rewrite yours.

Dope