Babak Hosseini
AI Delivery Lead at SYNAXON
Constance, Baden-Württemberg, Germany
Summary
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Top SchoolBabak Hosseini is an AI Delivery Lead with eight years of experience turning messy enterprise knowledge and operational pain points into production-ready AI systems that deliver measurable business impact. He blends deep technical expertise—from PhD-level research and embedded deep learning to cloud-based MLops—with product-minded delivery across GenAI platforms, LLM agents, RAG systems, recommendations, and predictive models. At SYNAXON he has progressed from data scientist to AI Delivery Lead, building multi-functional teams, embedding best practices, and shipping CRM automation, summarization, and recommendation projects into production. He also consults independently with SMBs to scope, build, and hand over lightweight, measurable AI automations that reduce manual work and make internal knowledge trustworthy. Unusually for an enterprise AI lead, Babak’s focus is less on model novelty and more on structuring, governing, and providing evidence for operational knowledge so AI systems can be reliably trusted. Based in Constance, Germany, he combines academic rigor with hands-on engineering and practical product outcomes.
7 years of coding experience
14 years of employment as a software developer
Bachelor of Science Control Engineering, Bachelor of Science Control Engineering at K. N. Toosi University of TechnologyDoctor of Philosophy (PhD) Intellignet Systems (Computer Science), Doctor of Philosophy (PhD) Intellignet Systems (Computer Science) at Bielefeld UniversityMaster of Science Control Engineering (Focus on Mchine Learning and Robotics), Master of Science Control Engineering (Focus on Mchine Learning and Robotics) at University of Tehran
English, German
Github Skills (27)
regularization6
jupyter-notebook5
pruning4
lottery4
deep-learning3
dictionary3
python3
classification3
sparse3
compression3
pytorch3
intel3
machine-learning3
autoencoder3
onnx2
Programming languages (3)
Github contributions (5)
bab-git/SQL_py_noSQL
Jul 2019 - Oct 2019
Contributions:74 pushes, 4 branches in 3 months
bab-git/NNKSC
Mar 2019 - Mar 2019
Non-negative Kernel Sparse Coding algorithm for semantic dictionary learning in feature space.
Contributions:17 commits, 2 PRs, 17 pushes in 7 days
nlpdictionarykernelautoencoderdictionary-learning
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