API, QA, automation, and AI workflow engineering

Fix broken integrations. Automate repetitive work. Ship with confidence.

I help teams debug unstable APIs, validate releases, build custom automation, and add controlled AI features into real products.

Find the right service->See proof->

5+ years in QA and startup product work, 400+ C#/.NET API tests, 2k+ reproducible Jira issues, and public GitHub proof.

API DebuggingWorkflow AutomationAI IntegrationQA / Smoke Tests

AI integration samples (PDF)->Engineering CV snapshot (PDF)->

IntakeWebhook trace

Requests, payload diffs, and failure points in one view.

AutomationScript or bot layer

Move data, reduce manual clicks, and keep output structured.

AI with guardrailsRules before model

Validation, retries, approval, and low-confidence handling built in.

INTAKEVERIFYROUTEAPPROVEHANDOFF

API coverage400+

Regression checks in C#/.NET

Issue signal2k+

Reproducible Jira reports

Delivery modeFixed scope

Calm, direct, usable handoff

Services

Choose the help that matches your problem.

Each service maps to a direct Upwork offer. Pick the one closest to your current problem.

APIUpwork project offer

Broken API or webhook flow?

Find the root cause, isolate the failure point, and get a structured fix path for unstable or broken backend integrations.

Root-cause report
Evidence-backed debugging
Fast fixed-scope path

Fix API / Webhook Issues->

BOTUpwork project offer

Need custom automation, scraper, or internal bot?

Build practical scripts and automation helpers that reduce repetitive manual work and move data where your team needs it.

Scrapers and syncs
Internal helper tooling
Reliable data handoff

Build Automation Script / Bot->

AIUpwork project offer

Want useful AI inside an existing workflow?

Add controlled AI features into your product or internal process with clear boundaries, structured outputs, and approval-friendly logic.

Validation before model calls
Structured JSON outputs
Built-in approval steps

Add AI to Workflow->

QAUpwork project offer

Need fast API validation before release?

Run targeted smoke and regression checks that reveal real failures quickly and produce findings your team can act on.

Smoke and regression checks
High-signal findings
Release confidence fast

Run API Checks->

Proof

Built on repeatable engineering work.

API coverage, reproducible bug reports, security-focused verification, and AI workflows with clear boundaries.

5+ years

QA and startup product work

Owned quality end-to-end across web products, release cycles, and distributed teams.

400+

Automated API tests in C#/.NET

Built and maintained practical regression coverage using NUnit and RestSharp.

2k+

Reproducible Jira issues reported

High-signal reports with root-cause clues, expected vs actual behavior, and evidence capture.

Auth + sessions

Security-minded QA work

Repeated focus on access boundaries, cookie/session behavior, and cross-tenant exposure.

CI-backed

Repeatable verification flow

Moved regression signals into Docker-based Bitbucket Pipelines and other CI lanes.

Rules first

Controlled AI workflow design

Schema-first outputs, retries, approval steps, and cost-aware model usage instead of unstructured prompting.

What clients say

Real feedback from people I worked with.

★★★★★
“Artem understood the assignment perfectly, delivered quick and was really good in his communication. We will definitely work again in the future!”
Upwork clientSlack Bot + X Detection ScriptUpwork

“Artem is a rare type of QA Engineer who successfully bridges the gap between quality assurance and software development. His ability to understand the system under the hood rather than just testing the surface sets him apart from many of his peers.”
Mykola OmelianCTO, FCE GROUP AGLinkedIn

★★★★★
“Very strong and knowledgeable resource. I was requesting for many changes but this resource was very flexible and did the changes for me tirelessly. Seeing all good qualities I ended up in paying bonus amount too.”
Upwork clientTesting automation scripts for PDF extract APIUpwork

“Artem is a highly skilled QA specialist with extensive experience in process automation. He approaches non-standard problems flexibly and can transform routine tasks into creative high-performance processes.”
Gregory ArzumanianVertical SaaS CEOLinkedIn

Selected work

Public proof and delivery patterns.

Public projects and delivery patterns that show how the work is structured.

AI Job Searcher

Automation system that collects and normalizes remote job data, stores it in SQLite, scores and routes it, and delivers reviewable outputs through Telegram.

Collection + normalization pipeline
Controlled scoring after deterministic filtering
Telegram delivery for practical review flow

View Repository->

Controlled AI Workflow Design

Real AI integration patterns with structured outputs, validation logic, approval steps, retries, and cost control instead of freeform prompt demos.

Schema-first JSON outputs
Human-in-the-loop approval
Timeouts, retries, and fallback logic

Read AI Samples PDF->

API Validation and Reproducible Issue Reporting

Meaningful checks, backend/UI inconsistency investigation, and failure reports that developers can reproduce and act on quickly.

REST and GraphQL coverage
Security and negative testing mindset
Actionable smoke and regression findings

View Matching Upwork Service->

Answer library

Useful pages for the exact problems buyers search.

Each page is scoped around one concrete operational problem. If one reads like your situation, the matching Upwork service is already attached.

API debugging

Broken API or webhook flow

How to trace payload mismatches, auth failures, retries, idempotency problems, and release regressions in unstable API and webhook integrations.

Webhook stopped working after provider update
API integration fails with no clear error
Need root-cause report before touching production

Read answer page->

Workflow automation

Custom automation, scripts, and bots

When scripts, scrapers, sync jobs, and internal bots are the better option than adding another tool to a fragile workflow.

Need a script instead of another no-code subscription
Want to automate repetitive copy-paste workflow
Need scraper or internal bot with reliable output

Read answer page->

Practical AI integration

AI inside an existing workflow

Adding AI to an app or internal process with guardrails, structured outputs, approvals, retries, and clear system boundaries.

Need one useful AI feature inside current workflow
Want AI outputs with validation and approval steps
Need practical AI integration instead of a demo chatbot

Read answer page->

API validation

API smoke and regression checks

Release-focused API smoke and regression testing that catches high-risk failures fast and produces findings developers can use immediately.

Need fast API checks before release
Tests pass locally but release still feels risky
Need actionable smoke and regression findings quickly

Read answer page->

Need the condensed version first?

The answer library maps the common problems. The about page gives the short technical profile and proof trail.

Open the full answer library->About Artem Bondarenko->

GitHub proof

Public code that shows how I actually build things.

Selected repositories covering data handling, workflow design, delivery logic, and working automation.

Profile

BondarenkoCom on GitHub

Automation, AI workflow prototypes, and internal tooling across Python, C#/.NET, and Apps Script.

Internal-tool patterns
Production-safe AI integrations
Automation and scripting examples

Explore GitHub Profile->

Featured repository

Featured repo: AIJobSearcher

Multi-source collection into SQLite, deterministic filtering before LLM usage, conservative JSON-only scoring, and Telegram delivery for reviewable outputs.

SQLite normalization and dedupe
Controlled LLM ranking step
Ops-ready output flow

Open AIJobSearcher->

Supporting proof

Supporting proof: AI integration samples

Short PDF with production-safe case patterns for workflow AI, localized content pipelines, and QA assistant tooling.

Open Samples PDF->

How I work

Clear scope. Practical build. Structured handoff.

Lightweight on purpose. Each step has a clear input and output.

Diagnostic / Scope

Understand the exact pain, constraints, and expected result before writing clever code.

Build / Investigate

Implement or analyze the workflow, script, integration, or validation path that actually matters.

Validate / Structure

Document findings, verify output quality, and keep the delivery readable instead of mysterious.

Handoff

Provide a result that is actionable, maintainable, and easy to continue using after delivery.

Fixed-scope friendlySubstance over flashStructured outputsReliability-awareAI with built-in approval steps

FAQ

Short answers to the questions that usually block a decision.

Do you only work on AI projects?

No. I also help with API debugging, webhook failures, smoke and regression validation, scripts, scrapers, and workflow automation.

Can you work on small fixed-scope tasks?

Yes. That is the preferred starting format: one concrete problem, one clear outcome, and a delivery path that does not sprawl.

Do you build full SaaS products?

Not as the core focus of this site. The strongest fit here is targeted engineering help around integrations, automation, AI workflow features, and validation work.

Do you use AI in a controlled way?

Yes. The model should be a bounded component inside a system with validation, fallback logic, and approval steps where needed.

Where should I start?

Start with the service card closest to your pain. Broken webhook, go to API debugging. Repetitive manual work, go to automation. One useful AI feature, go to AI integration.

Can I review public proof first?

Yes. The site links directly to GitHub, the featured AIJobSearcher repository, and a short PDF of AI integration samples.

Upwork