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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.
IT Picnic edition: how AI accelerates coding and moves bottlenecks to intent, review, tests, and delivery; agent-first platforms, evals, and flow metrics
What happens to the CTO when tools, management units, and engineering economics change
Copilots, MCP/A2A, AlphaEvolve, SE 3.0 and large fintech cases (Spirit, T-Cover Agent)
DORA, SPACE, DevEx, QUANTS and a large fintech experience with T-Meter
For CTOs / Heads of Engineering: review domain boundaries, platform backlog, reliability risks and release loop. Output: risk map and next actions.
Channel → Product → Platform →For CTO / Platform / DevEx teams: workshop on agents, evals, guardrails and metrics. Output: operating model and roadmap.
AI4SDLC →For CDO / ML / platform leads: production AI readiness review, RAG, observability and economics. Output: risk map and launch scenarios.
DataOps / MLOps →For CTO / EM / DevEx teams: DORA / SPACE / DevEx, flow, CFR and unit economics diagnostics. Output: dashboard and bottleneck list.
Engineering Productivity →Reach out for a conference talk, podcast recording, executive workshop, or a focused review of architecture, AI4SDLC, DataOps / MLOps / AIOps / LLMOps and engineering metrics.
Briefly describe the context, audience, desired outcome, and timing. For work enquiries, use Telegram or email.
© 2018 — 2026 ALEXANDER POLOMODOV
CTO & TECHNICAL FELLOW · SPEAKER · AUTHOR