A critical workflow has no reliable system
The business runs through spreadsheets, manual handoffs or fragmented tools, and the real product boundary is still unclear.
INDEPENDENT PRODUCT ENGINEERING / B2B SYSTEMS
Complex B2B software. One senior owner.
Frank Systems is the product engineering practice of Artem Prianishnikov. I help founders and technical teams turn critical workflows into reliable SaaS, AI and operational systems — from product boundary and architecture to code, deployment and handover.
Remote contract or retainer · Limited concurrent engagements
DELIVERY SYSTEM / 01Operational
From business pressure to a system that holds.
- 01ProductDefine the outcome and boundary
- 02ArchitectureMake risk and trade-offs explicit
- 03EngineeringBuild the critical path end to end
- 04ProductionDeploy, observe, document, transfer
PrincipalArtem Prianishnikov
01Principal-ledNo sales-to-junior handoff
02End to endProduct · architecture · code · operations
03Public engineeringAURA solo product · merged OSS work
04B2B systemsSaaS · AI · ERP · industrial data
WHEN TO BRING ME IN
The expensive part is rarely writing another screen.
I am most useful where product ambiguity, system risk and delivery pressure meet.
The product exists, but delivery is fragile
Architecture, data, deployment or ownership gaps make every change slower and riskier than it should be.
AI must become a dependable product capability
The pilot needs grounded inputs, structured outputs, review boundaries, observability and a path to commercial use.
ENGAGEMENT FORMATS
A clear first step, not an open-ended consultancy.
Start with the smallest format that can remove uncertainty or ship a meaningful result.
Product & technical diagnostic
Architecture, code, data, infrastructure and workflow review with a prioritized decision memo and execution plan.
Decision memo · risk map · next 30 days
Stabilization sprint
Fix the delivery bottleneck: production failures, deployment, observability, critical defects or an unsafe integration boundary.
Working fixes · verification · runbook
AI / automation pilot
Turn one valuable workflow into a testable product slice with real data, quality gates and human review where it matters.
Working pilot · evaluation · rollout path
Embedded product engineering
A limited senior retainer for architecture decisions, critical implementation and technical support to a founder or CTO.
Senior capacity without a long hiring cycle
SELECTED CASEWORK
Work shaped by real operating constraints.
Selected systems are described by the pressure they address, not by a wall of framework logos.
CASE / 01PROCUREMENT INTELLIGENCE
From tender documents to a controlled commercial workflow
Product architecture and delivery across tender discovery, company-specific analysis, bid/no-bid scoring, risks, document review, pipeline, billing and administration.
Responsibility
Product boundary · AI workflows · SaaS architecture · full-stack delivery · production
Live products
CASE / 02INDUSTRIAL DATA
A safe path from edge equipment to operational visibility
Integration design for industrial telemetry: edge gateways, read-only equipment registers, MQTT data contracts and a platform model that can support different client hardware without one-off rewrites.
Responsibility
Integration architecture · data contracts · edge/cloud boundary · product model
Client work · sanitized
CASE / 03BUSINESS OPERATIONS
A modular platform for changing business workflows
Architecture and product engineering for a B2B operations platform where data, commands, workflows and interfaces share one explicit grammar instead of growing as disconnected modules.
Responsibility
Product architecture · domain model · command layer · full-stack platform
Platform development
OPERATING PRINCIPLES
Serious delivery is a sequence of explicit decisions.
Start from business pressure
Define the workflow, constraint, owner and measurable change before choosing architecture.
Make the system legible
Keep boundaries, data contracts, failure modes and trade-offs visible to the people operating the product.
Ship the critical path first
Prove value and risk on real data before expanding the surface area or polishing secondary flows.
Leave an operable system
Deployment, observability, documentation and handover are part of the product, not post-launch chores.
PRINCIPAL
Artem Prianishnikov
Product engineer · architect · technical operator
I work where product decisions and engineering consequences cannot be separated. My role is to reduce ambiguity, own the critical path and make sure the system survives contact with production and operations.
PUBLIC ENGINEERING SIGNAL
Built and released AURA, a public Nostr client with 800+ unit tests; merged contributions to Svelte, SvelteKit, Biome and OXC.
START WITH CONTEXT
Send the workflow, the constraint and the result you need.
I will tell you directly whether this is a fit, what the smallest useful first step is and where I see the main delivery risk.
Prefer a direct message?Write in Telegram
Project brief / structured intake01—03