Oluwadunsin
@dfajemila
AI Engineer.
ID: 3901117397
08-10-2015 16:44:09
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Michael Taiwo Unique ID: 437445 From the smallest spark, great things can ignite – and I believe that my spark is Materials Science, a field that can light the way to solving some of the world's greatest challenges. (1/5)
Did a thing or two at Deep Learning Indaba Presented a poster in a project I worked on. Foodie Lens: Combining AI with African Culinary Heritage to Identify Dishes and Retrieve Recipes with Cooking Instructions #DLI2024
😁 Had a great time yesterday speaking Pycon Africa Here’s a link to my slides for anyone interested: docs.google.com/presentation/d…
Finally out 🥳🥳 I wrote an article about my experience at DLI24. medium.com/@adebesinarami… Deep Learning Indaba thank you for the opportunity, I'm really glad I attended. If you plan to apply next year, I shared a few tips, don't hesitate to click on the link.
⭐️🥈🏆🎉 We’re so proud of Aramide Adebesin for winning the 2nd Best Poster Award at the recently concluded AI bootcamp! Congratulations, Aramide, here’s to reaching even greater heights! Interested in contributing to FoodieLens?? Visit: african-dishes-database.streamlit.app #AIBootcamp2024
Excited to announce that my team, Team Neumann has progressed to the building phase of the #RainHackathon1_0 organized by RAIN_INNetwork . We're working on a Multimodal Biometric Authentication System using Face and Voice Recognition. #RAIN #Innovatethefuture #RAININNETWORK
🏆 We won the best paper award at AfricaNLP!! Huge shoutout to Abraham Owodunni and the ML Collective (Nigeria) community, this idea was first shared on our discord. Grateful to see it grow into something impactful.✨
Update!: I'm back in school folks. If you're looking for me, I’ve been shipped to Carnegie Mellon University Africa for an MSc in AI. ETA: ~2 years Contents: caffeine, code, engineering, chaotic debugging Goal: Engineer intelligence, not lose mine This journey here has been a wild one, but I want
I’m super excited about this one! 🎉 Next Tuesday, I’ll be joining the Cohere Labs Community to share insights from our paper “Evaluating Robustness of LLMs to Typographical Noise in Yorùbá QA.” Big thanks to Kato Steven Mubiru and Bronson for putting this together!