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Tell Me About Tech — live
Live discussions of architecture, AI4SDLC, engineering practices, and technology research.
cto & technical fellow · architecture · AI4SDLC
Technical Director and Technical Fellow at a large fintech. As CTO I build calm, scalable systems and grow engineering teams; as Fellow I own the AI4SDLC direction.
# whoami
$ cto · fintech · engineering teams
$ technical fellow · AI4SDLC · architecture
# 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.
Technical Director and Technical Fellow at a large fintech. As CTO I am responsible for engineering practices and growing technical teams; as Fellow — for the AI4SDLC direction and systems architecture.
I run a Telegram channel "Book Cube" where I share insights from books on technology, management, and personal growth.
Creator of «System Design Space». Host of podcasts «Code of Leadership» and «Research Insights Made Simple».
HighLoad Awards 2023 nominee in the 'Developing Projects' category.
DDD, RFC/ADR, internal platforms, release loop
Agents, evals, guardrails, metrics and economics
Production AI as a managed loop, not a demo
DORA, SPACE, DevEx, unit economics and flow
20+
YEARS IN IT
100+
TALKS
Engineering teams, platform, and delivery culture: building systems that stay boring under load.
I own the AI4SDLC direction — research and practice of making AI a managed part of the software delivery loop.
Copilots, MCP/A2A, AlphaEvolve, SE 3.0 and large fintech cases (Spirit, T-Cover Agent)
Evolution from COTS to in-house dev, Spirit and AI-native architecture
DORA, SPACE, DevEx, QUANTS and a large fintech experience with T-Meter
From teamlead (~10) to Engineering Manager (~50) to CTO (~150+): how focus and skills shift
For CTOs / Heads of Engineering: review domain boundaries, platform backlog, reliability risks and release loop. Output: risk map and next actions.
For CTO / Platform / DevEx teams: workshop on agents, evals, guardrails and metrics. Output: operating model and roadmap.
For CDO / ML / platform leads: production AI readiness review, RAG, observability and economics. Output: risk map and launch scenarios.
For CTO / EM / DevEx teams: DORA / SPACE / DevEx, flow, CFR and unit economics diagnostics. Output: dashboard and bottleneck list.
Reach out for a conference talk, podcast recording, executive workshop, or a focused review of architecture, AI4SDLC, DataOps / MLOps / AIOps / LLMOps and engineering metrics.
Fastest format: briefly describe the context, audience, desired outcome and timing. I reply in Telegram direct messages.
© 2018 — 2026 ALEXANDER POLOMODOV
CTO & TECHNICAL FELLOW · SPEAKER · AUTHOR