Danyil Kovalov is a pragmatic AI engineer and co-founder with 11+ years of hands-on experience building resilient production systems across .NET, Node.js, Python and modern AI stacks. He founded Tenderium to apply DSPy-driven self-learning pipelines, RAG with FAISS/pgvector, and multi-country procurement integrations that process hundreds of tenders daily—demonstrating both product thinking and systems-level engineering. Known for fixing root causes fast (a production app incident resolved at the code level in five hours), he blends rapid debugging with long-term architecture and validation for high-stakes outputs. His background includes anti-fraud systems, CI/CD standardization, SRE practices, and mentoring engineers through tough pivots at startups. Danyil prefers remote, async-friendly teams that value thoughtful engineers and psychological safety as much as velocity. He holds advanced training in mathematics and computer science (PhD-level studies) which informs his rigor in AI pipeline design and evaluation.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Mathematics and Computer Science, Doctor of Philosophy (Ph.D.), Mathematics and Computer Science at Taras Shevchenko National University of Kyiv
High School, Math, English, Physics, High School, Math, English, Physics at Kyiv-Pechersk Lyceum #171 «Leader»
Contributions:5 commits, 3 PRs, 16 pushes in 1 year 2 months
testingadaptiveevaluationweb-testingtesting-tools
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Danyil Kovalov - Co-founder & AI Engineer at Self-Employed