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Tell Me About Tech — live
Live discussions of architecture, AI4SDLC, engineering practices, and technology research.
technology leader · architecture · AI4SDLC
Technology leader with experience as a CTO and Technical Fellow at a large fintech. I build calm, scalable systems and engineering teams, and develop architecture and AI4SDLC practices.
# whoami
$ engineering leadership · fintech · teams
$ architecture · AI4SDLC · platforms
# currently
$ keeping systems boring

signal
polomodov.techfintech · platforms · engineering productivity
$ live --status
› waiting for the next stream
— live streams
Live discussions of architecture, AI4SDLC, engineering practices, and technology research.
More than 20 years in IT, with experience as a CTO and Technical Fellow at a large fintech. My focus is systems architecture, developing technical teams, and applying AI in software development.
I created System Design Space, run Book Cube and podcasts, and teach. My public work shows how I use sources, compare options, and explain the limits of a conclusion.
A HighLoad Awards 2023 nominee in the 'Developing Projects' category.
Architecture, AI, and engineering leadership talks with recordings, slides, and sources.
Diagrams, criteria, and limitations that help make technical discussions concrete.
Code of Leadership, Research Insights Made Simple, and other series with engineers and leaders.
Seven System Design Interview steps: requirements, boundaries, flows, technology choices, scaling, and candidate behavior.
AI4SDLC research, transition to AI-native processes, and the team lead role transformation
Process, interviews, evaluation — an inside view from a large fintech
DORA, SPACE, DevEx, QUANTS and a large fintech experience with T-Meter
When a team faces a choice about AI in development, architecture, or how work is organized, we can examine it together, with the options, the risks, and a written recommendation.
The tools are in place, but the benefit to the team is unclear. We examine workflows, constraints, and how to test the value of your next step.
AI development review 02Your platform or system needs to change, and the options have different risks and costs. We assess them against business needs and decision criteria.
Architecture review 03Deadlines, responsibilities, or metrics no longer support decisions. We identify what to investigate and change in how the team operates.
Engineering organization reviewReach out for a conference talk, a podcast recording, or a review of a specific decision about AI in development, architecture, or how an engineering team works.
The review format is described on the consulting page.
Briefly describe the context, the audience or problem, the outcome you want, and the timing. A Telegram message or email is enough to start.
© 2018 — 2026 ALEXANDER POLOMODOV
TECHNOLOGY LEADER · SPEAKER · AUTHOR