mădălin tatarciuc
ai engineer • applied research & systems builder
i've spent the last few years fine-tuning llms at scale, building production ml systems, training computer vision models, and shipping ai to real users. now i'm focused on getting intelligence on the hardware, building systems that run on-device, at the edge, where latency matters and the cloud isn't always there. also working on rl agents for autonomous uav control.
founder at superbird labs — we're building embedded intelligence infrastructure.
experience
founder — superbird labs
- building embedded intelligence infrastructure
- developing ai systems for edge deployment and on-device intelligence
- researching agent architectures, long-term memory systems, and small-model pipelines
engineering team lead — salestools
- architected ai-driven sales platform processing 10m+ monthly events
- designed llm-based reply generation trained on 48m+ emails and 36m+ linkedin messages
- built and fine-tuned conversational agents under real-time response constraints
- optimized inference latency and cost across cloud and bare-metal gpu deployments
co-founder & engineer — dotworlds
- built generative media pipeline (text → image → video)
- designed prompt optimization and orchestration logic
- scaled to 1,000+ users within one month of launch
ai automation engineer — plant an app / bazinga ai
- built llm-powered automation workflows and rag systems
- designed chunking, embedding, retrieval, and evaluation strategies
business dev partner & romania chapter lead — omdena ai
- led romanian ai community
- coordinated open-source ml projects including cv systems for deforestation detection
skillab • gameloft • coreto.io
research & projects
kalkan defense
research and engineering of reinforcement learning agents for uav control, policy learning, and autonomous decision-making
hugging face
published ner models; trained and evaluated rl agents with custom environments
superbird app
personal intelligent unit (piu): an ai companion with multimodal input, long-term memory, and adaptive behavior
education & other
ai builder cohort (2024)
informatics economics (2019–2020)
deep learning, machine learning, computer vision
national team athlete, 1 dan