PhD student @ Cornell University
I am a CS PhD student at Cornell University working at the intersection of Machine Learning, Computer Vision, and Graphics. More specifically, my research focuses on 3D reconstruction, relighting, and scene understanding under occlusion. Prior to Cornell, I earned my Bachelor's in Software Engineering from Addis Ababa University, Ethiopia. I also worked as a research intern at École Polytechnique and the University of Michigan, as well as a product manager at A2SV.
Researcher @ KAUST
My research interests focus on generative model interpretability and evaluation, with a particular goal of reverse engineering the learned algorithms within neural networks. Ultimately, I seek to explore ways to inject and modify concepts in these networks, advancing our ability to refine and control their learning processes.
Machine Learning Engineer
I am a Full-Stack Developer with a deep interest in Large Language Models (LLMs) and Computer Vision. My work focuses on developing AI-driven solutions, with ongoing research in prompt security and AI guardrails. Beyond development, I'm passionate about exploring cutting-edge advancements in machine learning to solve real-world problems.
Software Engineer @ Google
I am a software engineer specializing in backend development, with a blend of industry and research experience. Fascinated by how technology can improve lives, I am committed to contributing to projects that make a meaningful difference. While continuously learning and growing, I am equally dedicated to mentorship and knowledge-sharing, fostering inclusive tech communities.
PhD Student @ Cornell University
I am a third-year Ph.D. student in the Computer Science Department at Cornell University, advised by Prof. Sanjiban Choudhury. I am interested in building robots that can help humans in everyday tasks.
Post Doctoral Researcher @ Stanford University
Katie Luo is a Ph.D. student at Cornell University, advised by Prof. Kilian Q. Weinberger and Prof. Bharath Hariharan. Katie's research focuses on computer vision and perception for self-driving, with an end goal of bringing self-driving to a diverse set of end users.
PhD Computer Science @ Cornell University
I am a CS PhD student at Cornell University working at the intersection of Machine Learning, Computer Vision, and Graphics. More specifically, my research focuses on 3D reconstruction, relighting, and scene understanding under occlusion. Prior to Cornell, I earned my Bachelor's in Software Engineering from Addis Ababa University, Ethiopia. I also worked as a research intern at École Polytechnique and the University of Michigan, as well as a product manager at A2SV.
ML Researcher @ Algoverse
My research interests focus on generative model interpretability and evaluation, with a particular goal of reverse engineering the learned algorithms within neural networks. Ultimately, I seek to explore ways to inject and modify concepts in these networks, advancing our ability to refine and control their learning processes.
Software Engineer @ TestSavant.AI
I am a Full-Stack Developer with a deep interest in Large Language Models (LLMs) and Computer Vision. My work focuses on developing AI-driven solutions, with ongoing research in prompt security and AI guardrails. Beyond development, I'm passionate about exploring cutting-edge advancements in machine learning to solve real-world problems.
Site Reliability Engineer @ Google
I am a software engineer specializing in backend development, with a blend of industry and research experience. Fascinated by how technology can improve lives, I am committed to contributing to projects that make a meaningful difference.
Visiting Researcher @ Stanford University
I am a third-year Ph.D. student in the Computer Science Department at Cornell University, advised by Prof. Sanjiban Choudhury. I am interested in building robots that can help humans in everyday tasks.
Postdoctoral Researcher @ Stanford University
Katie Luo is a Ph.D. student at Cornell University, advised by Prof. Kilian Q. Weinberger and Prof. Bharath Hariharan. Katie's research focuses on computer vision and perception for self-driving, with an end goal of bringing self-driving to a diverse set of end users.