Aleksa Gordić

About

Cooking. Social: 📄 Website - https://www.aleksagordic.com/ (old one: https://gordicaleksa.com/) 📺 YouTube - https://www.youtube.com/c/TheAiEpiphany 🐦 Twitter - https://twitter.com/gordic_aleksa 👨‍👩‍👧‍👦 Discord - https://discord.gg/peBrCpheKE 📚 Medium - https://gordicaleksa.medium.com/ 💻 GitHub - https://github.com/gordicaleksa 📢 AI Newsletter - https://aiepiphany.substack.com/ 💰 Patreon - https://www.patreon.com/theaiepiphany NOTE: I get a lot of DMs and so If I don't answer it's because I, unfortunately, can't possibly answer every DM I receive. --- about me in O(1) --- ex-software/ML engineer at Microsoft & DeepMind with a broad background: electronics & embedded programming on uCs (bachelor) , software engineering, algorithms, deep learning (computer vision, natural language processing (NLP), geometric DL, reinforcement learning (RL)...), web, mobile, Chrome extensions, etc (I had a lot of personal projects :)). I try to spend every waking hour learning, improving, creating, pushing myself out of my comfort zone, and sharing the stuff I learn in public. I'm constantly revising and improving my productivity, health & learning processes (at the same time making sure it's not procrastination in disguise). Before I started working for Microsoft I got my bachelor's in EE and I did 2 internships: 1) In a German startup - Telocate - where I was working as an Android dev (autodidact) developing precise localization using ultrasound. 2) In Brazil (UFOP university) where I worked on researching various heuristics for the multi-pile vehicle routing problem. Ended up more of a life experience: I lived with 11 Brazilians and learned Portuguese. At Microsoft, I got to work directly with talented engineers & researchers from Microsoft Research Cambridge, and from Seattle on the HoloLens family of devices. While I was working at MSFT I was also part of the organization and a lecturer at PSI:ML (ML camp). I worked as a research engineer at Google DeepMind on visual language models (VLMs) and multimodal learning in general, where I led a bulk inference project that brought VLMs (Flamingo) to various Google/YouTube products. Since I left DeepMind I tried a few things, failed many times, still cooking though. Some non-tech hobbies of mine: * Learning (human) languages. I learned 5 in my free time (mostly in my high-school days, it gets really easy once you learn the first two) * Powerlifting/calisthenics (my max was 120 kg bench press, 5 sets 3 reps ;)).