Product Engineer & Software Architect
Knowledge and process → working system
I turn complex knowledge, business processes and backend domains into working systems.
Product platforms, pragmatic automation and governed AI workflows — from product framing and architecture through delivery and operations. I use AI agents as engineering leverage while retaining ownership of requirements, architecture, validation and the final system.
Available for project-based, part-time, fractional and selected full-time opportunities.
From complexity to systems
Recognizable friction. A bounded way forward.
The work usually begins where knowledge, process and software have stopped lining up.
Disconnected systems
Knowledge held only in people’s heads
AI ideas without a safe implementation boundary
Backend complexity that slows delivery
Workflows dependent on checklists and memory
Product decisions disconnected from architecture
Teams lacking senior cross-layer judgment
How we can work together
Start small. Learn quickly. Build what proves useful.
A practical sequence that reduces uncertainty before the work grows.
01
Discovery
For manual, fragmented or knowledge-heavy workflows.
Outcome
Process map, friction points, opportunities, risks and a bounded pilot proposal.
Next step
Decide whether a controlled pilot is justified.
02
Controlled pilot
For one workflow with a clear business hypothesis.
Outcome
A working capability with approvals, validation, observability and stop criteria.
Next step
Measure, refine, stop or expand deliberately.
03
Platform engineering
For products that need a durable system, not another isolated tool.
Outcome
Product, frontend, backend, integrations, infrastructure and operational readiness.
Next step
Launch, operate and evolve the platform.
04
Fractional support
For teams that need senior cross-layer judgment without a full-time hire.
Outcome
Architecture direction, review, roadmap shaping, delivery coordination and enablement.
Next step
Keep decisions and delivery coherent over time.
↳Already have a complex product? An Architecture & Backend Audit is available as an alternative entry path.
Selected systems
Products and systems carried from idea into operation.
A selection of work where product decisions, architecture and implementation had to move together.
01 / PRODUCT PLATFORM
ShenQi Space
Open live siteCo-founder, Product Engineer & Software Architect
ShenQi Space is a live educational-commerce and decision-support platform co-founded with Nadezhda Kalinina, a teacher, consultant and domain methodologist with 15+ years of practice. I own the digital product system across product design, UX, frontend, backend, architecture, infrastructure, monetization, analytics and operations.
Expert methodologyProduct & UXCommercePersonalizationAnalyticsOperated product platform
TodayA live product serving real usersMy roleThe full digital product, from interface to operationsOne systemContent, commerce, personalization and analytics
02 / GOVERNED AI SYSTEM
AI Operations
Architecture and implementation
An AI operations layer where agents research, calculate and prepare work, while meaningful changes remain visible and require approval. The system gains speed without giving up product control.
ResearchComputeProposeAct
ControlApproval before changes, action history and safe retriesPractical effectAI accelerates preparation while decisions and accountability stay with the team
OPERATING MODELAI prepares — people decide
01ContextReceives only the data it needs
02PreparationResearches, computes and proposes
03ReviewShows the result before changes
04ActionExecutes only after approval
Control stays inside the productEvery consequential action is visible and reversible
The team can see what the agent is doing and why.
Access is limited to explicit product capabilities.
Automation expands only as its value becomes clear.
03 / MODULAR COMMERCE CORE
Nexora
Architecture and core implementation
Built a modular commerce core where catalog, checkout, payments and inventory evolve as explicit domains. The architecture keeps critical business flows coherent while lowering the cost of future change.
CatalogCheckoutPaymentsInventoryModular commerce core
SystemFour critical domains separated and assembled into one commerce flowEngineering outcomeClear ownership boundaries across critical sales flows
04 / OPERATIONS PLATFORM
DontWorry
Architecture, review and rollout coordination
Turned website monitoring from a set of isolated checks into a managed multi-tenant service. Schedules, 25 check types, reports, alerts and subscription logic operate in one coherent workflow.
Tenant workspacesSchedules25 check typesReports and alertsManaged monitoring
Operational valueChecks run on schedule and flow into reports and alertsService breadth25 check types with subscription-aware capabilities
System outcomes, made concrete
Connected modules in the live ShenQi product
From research to approved action
Catalog, checkout, payments and inventory in one architecture
Scheduled checks with reports and alerts
Systems I build
Capabilities that connect product intent to operations.
Selected delivery stack: Laravel, PHP, PostgreSQL, MySQL, Redis, Docker, queues, webhooks, CI/CD and production operations.
01Governed AI and automation workflows
02Full-cycle product platforms
03SaaS, commerce and subscription systems
04APIs, webhooks and business integrations
05Internal tools and contextual knowledge systems
06Reliable delivery, monitoring and operational workflows
For agencies and delivery partners
Senior engineering shaped around the partnership.
We agree how I join the work before estimation, so responsibilities and client communication stay clear.
Disclosed specialist
Presented to the end client as an external Product Engineer / Software Architect.
Discovery, presale, workshops, architecture and implementation leadership.White-label subcontracting
Works under the agency’s brand without becoming the primary public contact.
Bounded delivery, backend/platform work, automation pilots and technical review.Referral
The partner makes the introduction; the client then works with me directly.
A clean handoff when the opportunity sits outside the partner’s delivery model.Add AI/automation and senior architecture capability without a full-time hire — while keeping the client relationship and delivery structure clear.
How I operate
Engineering judgment across the whole system.
My work grew from backend-heavy commercial systems into product ownership, architecture, infrastructure and AI-native delivery. The common thread is systems thinking: making product, code and operations reinforce one another.
AI accelerates decomposition, implementation and review. It does not replace requirements, architecture, validation or accountability.
01Reduce chaos
02Convert knowledge into systems
03Build capabilities, not isolated features
04Automate when leverage justifies cost
05Design reliable systems to fail predictably
06Make technical leadership reduce dependence on the leader
Fractional work is grounded in architecture and code review, task shaping, mentoring, technical sessions, backend interviews and cross-layer delivery coordination.