David Shekunts is an AI Tech Lead with 11+ years of experience designing and scaling high-load distributed systems across AI, IoT, fintech, gamedev, and SaaS. He has repeatedly transformed legacy platforms into resilient production services—supporting $175M/month in transactions and 1.7B events/day—and built and led distributed engineering teams across three continents. His hands-on stack spans Go, Python, Node.js, ClickHouse, Kafka, Redis, and modern ML tooling (PyTorch, transformers, PEFT, LlamaIndex), and he’s shipped end-to-end AI/IoT products from on-device image generation to factory defect inspection. Notable wins include reducing defect-escape losses by $300K/year, cutting ETL latency from 5s to 700ms for near-real-time telemetry, and protecting $1.5M from fraud via transaction service design. He also publishes practical engineering guides, an ebook and courses on high-load systems and functional OOP alternatives, reflecting a blend of practitioner depth and developer education. Based in Bali, he combines pragmatic architecture with operational rigor to deliver measurable business impact.
11 years of coding experience
10 years of employment as a software developer
Logistics, Logistics at Higher School of Economics
Functional Oriented Programming (FOP) for TypeScript
Contributions:3 releases, 11 commits, 14 PRs in 1 year
typescriptfopfunctional-programming
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David Shekunts - AI Technical Team Lead at Palatine Vision