Artem

Artem Vashchenko
PROMPT ENGINEER · VOICE AI · QA & TEST BACKGROUND

[открыть контакты](см. выше в блоке «контактная информация») [открыть контакты](см. выше в блоке «контактная информация») Ukraine · Remote only LinkedIn / Artem Vashchenko

PROFESSIONAL SUMMARY

IT professional with nearly 5 years of experience in mobile software and network testing, transitioning into
Prompt Engineering and Voice AI. Gained first commercial experience as a Prompt Engineer at SPsoft, working
on production voice bots across GPT-4o, Claude, Gemini, and ElevenLabs. Completed the Prompt Engineer course
at GoIT (2025) and built a series of applied personal projects in LLM automation and workflow integration.

A QA background is a direct advantage in Prompt Engineering: the ability to write precise test cases translates into
accurate task descriptions for LLMs; experience with log analysis (QXDM, QCAT, ELT) builds the systematic thinking
needed to debug complex prompt chains; structured bug reporting skills provide a disciplined approach to evaluating
expected vs. actual AI model output.

KEY SKILLS

Prompt Engineering AI Tools & LLMs
System Prompt Design · Few-Shot · Voice AI / Conversational AI · GPT · Claude · Gemini
Speech Synthesis · Sentiment Adaptation · User Intent Recognition Midjourney · ElevenLabs · Notion AI
· Role Prompting · Tree of Thought · ReAct
Prompt Chaining · Negative Prompting
Prompt Library Management

Automation & Integrations IT / QA Background
Make · Zapier · n8n · REST API · Webhooks · JSON · Test Cases · Bug Reports · Requirements Analysis ·
Markdown · Basic Python (API requests) BRD/SRS Documentation · UML · SQL · QXDM ·
QCAT · ELT · 2G/3G/4G/5G

WORK EXPERIENCE

Prompt Engineer Voice AI / Conversational AI
SPsoft | May 2026 | Remote
Designed and refined prompts for production voice bots built on client-provided conversation scripts, working across GPT-4o,
Claude, and Gemini depending on task requirements.​

–​ Wrote prompts from scratch and refactored existing ones to improve naturalness, tone consistency, and intent recognition in
voice interactions
–​ Conducted structured A/B-style prompt experiments across language variations and emotional tone to optimise
conversational flow
–​ Integrated prompt outputs with ElevenLabs for speech synthesis; validated voice-side behaviour against expected
conversational scenarios
–​ Collaborated with engineers on prompt-to-model integration within the broader Voice AI pipeline
–​ Maintained prompt library and release documentation for deployed bot versions, ensuring traceability and rollback capability
​

Prompt Engineer — Personal Non-Commercial Projects
Self-directed Practice | Jan 2026 – Present | Remote
Alongside GoIT coursework, built a series of personal projects to practise real-world LLM application and workflow automation
scenarios.

Test Team Leader
ThunderSoft | Aug 2022 – Jun 2025 (2 yrs 11 mos) | Kyiv · Remote
 –​ Led a team of testers: task distribution, daily stand-ups, quality control, and blocker resolution
–​ Structured daily progress reporting in a standardised format — a skill directly transferable to documenting AI workflows and
prompt libraries
–​ Log analysis using ELT, QXDM, and QCAT: device activity monitoring, log parsing, and deep diagnostics of complex
technical issues
–​ Detailed bug documentation: reproduction steps, expected vs. actual results, registration and tracking in the bug tracking
system
–​ Cross-team collaboration with development: regular communication on findings, sprint planning participation, and
improvement proposals
–​ Ensured test reproducibility in line with industry standards — a consistency principle carried into prompt engineering
practice

Field Test Engineer
Mobile Industry | Sep 2020 – Aug 2022 (2 yrs) | Remote
–​ Mobile network testing (2G/3G/4G/5G): signal strength, connectivity, and performance across diverse environments and
scenarios
–​ VoLTE / VoWiFi / transition tests (SRVCC, CSFB): validation of voice calls, SMS, MMS, and data packages under various
network conditions
–​ Prototype device testing (MTK & Qualcomm chipsets): execution of predefined test cases, software-hardware compatibility
verification
–​ Log capture and analysis (QXDM, QCAT, ELT): device activity recording, log parsing, and targeted data extraction for issue
diagnosis
–​ Mobility and roaming testing: handovers between network cells and regions

EDUCATION & CERTIFICATIONS

Prompt Engineer
GoIT · Online Course · 2026
–​ LLM fundamentals: transformer architecture, tokens, temperature, context window
–​ Prompting techniques: few-shot, chain-of-thought, role prompting, ReAct, tree of thought
–​ Image generation: Midjourney, DALL-E 3, Stable Diffusion — style transfer, negative prompting
–​ AI workflow automation: Make, Zapier, n8n, REST API
–​ Capstone project: AI assistant built for a real business use case

LANGUAGES

Ukrainian English
Native B1/B2 — technical documentation, business correspondence