İbrahim Karamavuş
@brahimkaramavu
I build and deploy reliable AI products, from model evaluation to production-scale generative systems.
What I'm looking for
I've built and deployed two live AI products end to end: a multi-agent LLM/VLM content platform and an agentic audio generation system. I own their architecture, model pipelines, evaluation, web applications, and deployment.
At Codeway Studios, I built diffusion-based image generation and editing systems for Retake, a consumer AI photo application used by millions. I also reduced personalization training costs by up to 80% through GPU optimization, batching, quantization, model compression, and memory-efficient execution.
My work spans large-scale image data pipelines, LLM fine-tuning, distributed PyTorch training, evaluation harnesses, reliability safeguards, and low-latency GCP deployment. Earlier, I developed YOLO-based UAV perception systems and real-time automotive ECU software.
Experience
Work history, roles, and key accomplishments
Senior AI Research Engineer
Independent
May 2026 - Present (4 months)
Built and deployed two live AI products end to end, owning architecture, model pipelines, evaluation, web application, and deployment. Engineered the model evaluation and reliability layer gating both products.
Education
Degrees, certifications, and relevant coursework
Istanbul Technical University
Bachelor of Science, Aeronautical Engineering
2016 - 2021
Activities and societies: Led computer vision development for autonomous UAV perception and navigation, winning 3rd place at the TÜBİTAK International UAV Competition in 2019.
Pursued a Bachelor of Science in Aeronautical Engineering, with coursework and projects in computer vision and autonomous systems.
Availability
Location
Authorized to work in
Website
aiforgift-site.vercel.appPortfolio
github.com/karamavusibrahimSalary expectations
Job categories
Skills
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