About Me
Hello! I'm a 23-year-old software programmer based in Seattle, WA, working at Amazon. My technical interests include machine learning (LLMs, RAG, text-time inference, training and fine tuning models), full-stack development, designing and building scalable systems. Passionate towards learning by creating!
Background
🎓 Education
I graduated from UC Berkeley with an honors degree in Electrical Engineering and Computer Science on May 2024. I've taken numerous grad-level and upper division courses on topics including machine learning, optimization and probability, databases, operating systems, and more at my time there.
🔬 Research Experience
I am also a passionate researcher, having worked at some of the most prestigious research institutions in the world. Namely, I worked as a Machine Learning Researcher at Lawrence Livermore National Laboratory, in the field of quantum physics. Here, my workload consisted of on modelling particle collision data to predict anolalistic events in future data. Learned in-depth about the GAN architecture and it's use cases in this project. I also worked as a Quantitative Researcher at Wheeler Labs at Berkeley. Here I applied natural language processing based text classification across qualitative plans related to "Groundwater Sustainability", utilized LLM model outputs to deriveinsightful recommendations. I also interned at Bell Labs over the summer of 2022 where I researched in depth about creating "advertisable" products on Web3. If you didn't guess by now, I love all aspects of computer science research! : - 3
💼 Current Role
Currently I am working for Amazon as a Software Development Engineer. I am heavily utilizing AWS, Java, JS, TS, Node, Python in my work.
What I Do
🚀 Current Project
I like creating simple projects for fun, and am going to share them here! I am currenlty pursuing an intelligent system to store/classify huge amounts of financial data, feed most relevant context per query (efficiently) and be able to reason/predict according to the current context, market trends. On top of this I want this model to be self-adaptive; roughly meaning be able to update its weights as it executes at inference time, and test time!
🎯 Project Range
My projects range from interactive games to dynamic web applications, to training and optimizing large language models.
Let's Connect
I'm always interested in discussing new ideas, collaborating on projects, or simply connecting with fellow developers.
Feel free to explore my projects and reach out if you'd like to connect!
📧 Personal Email
alpaltug@berkeley.edu💼 Work Email
alpaltug@amazon.comI am also on LinkedIn and GitHub.