Dan Groshev is a senior technical consultant and generalist backend engineer based in London with over a decade of experience architecting resilient, cost-effective systems. He has led migrations and optimisations—most recently moving a Lambda-based service to ECS to cut p99 latency ~10x and costs ~3x—while also improving database hotspots from seconds to milliseconds. As a former CTO, he built a custom subscription engine that enabled near-100% SKU utilisation and scaled a small engineering team through growth and supply-chain crisis management. He combines hands-on systems work (Django, AWS, Durable Objects, Erlang) with hardware and embedded experience—having designed a mixed-signal PCB and shipped an RP2040-based product—so he’s comfortable across firmware, backend, and infra. Dan also designs pragmatic ML/NLP pipelines, delivering >99.5% precision in extracting dictionary data from noisy corpora, and mentors teams to maintain velocity via typing, linting, and tooling. Practical, curious, and results-focused, he blends deep technical craft with operational and hiring leadership.
10 years of coding experience
11 years of employment as a software developer
Bachelor’s Degree Applied Mathematics, Bachelor’s Degree Applied Mathematics at Saint Petersburg State University
Minor Bioinformatics, Minor Bioinformatics at Saint Petersburg Academic University
Unfinished bachelor's degree Control Systems, Unfinished bachelor's degree Control Systems at Peter the Great St.Petersburg Polytechnic University
Contributions:2 releases, 11 pushes, 2 branches in 2 years 3 months
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