Alexander Zotov

Head Of AI, Engineering at Responsiv AI

Austin, Texas, United States
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Summary

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Senior
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Alexander Zotov is a seasoned AI and engineering leader with 11+ years of focused experience building production-grade NLP and conversational AI systems, now leading AI engineering at Responsiv AI from Austin. He specializes in applied LLM work for legal domains—RAG, high-precision retrieval, controlled generation with citations, contrastive learning, and bespoke model architectures—bridging research techniques with inference-time learning and scalable serving stacks. Previously he led NLP at Relyance AI and built advanced conversational NLU at Meta and Microsoft, contributing to Cortana-era semantic parsing, knowledge graphs, and large-scale ML platforms. Alexander pairs deep academic roots in applied mathematics and CS with decades of hands-on systems engineering, from Azure ML experimentation platforms to vector stores and fine-tuning pipelines. Colleagues describe him as the kind of leader who moves quickly from novel model ideas to auditable, high-precision legal workflows—an uncommon mix of production rigor and cutting-edge generative AI craft.
code11 years of coding experience
job29 years of employment as a software developer
bookMaster’s Degree Applied Mathematics and Computer Science, Master’s Degree Applied Mathematics and Computer Science at Belarusian State University
languagesEnglish, Russian
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Github Skills (32)

ansible-collections10
django-forms10
fedora9
django-extensions9
workbench9
xml9
tushare9
python8
disk-image8
wave7
audio7
xpath7
xml-database6
django6
post-processing6

Programming languages (5)

JavaScriptHTMLXSLTRubyPython

Github contributions (5)

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emory-libraries/OpenEmory

Aug 2015 - Jan 2024

open-access repository for scholarly articles, based on Fedora Commons
Contributions:6 reviews, 12 PRs, 294 pushes in 8 years 6 months
fedora
Contributions:1 PR, 21 pushes, 7 branches in 5 years 7 months
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