Quality. Intelligence.
Insight.

QA Analysis

Requirements analysis, planning, user stories, defect lifecycle management, and reporting. Translating business needs into acceptance criteria.

Testing

Functional, regression, exploratory, usability, acceptance, A/B, smoke, black-box, mockup compatibility including GUI and RDW aspects in the process.

Agile & Collaboration

Familiar with sprint cycles and remote work across international teams located in US, EU, Asia. Close collaboration with dev, product, and design teams to prioritize tasks and deliver.

UX/UI

Providing user experience-interface insights and actionable recommendations to product and development teams.

Cross-Platform Testing

Multi-device-browser, and OS-level compatibility testing. Ensuring consistent experiences across screen sizes.

Documentation

Guidelines, test documentation, test cases, coverage, and reports for stakeholders.

Daily AI Usage

Working with large language models on daily basis — prompt design, research, context management, output validation and extracting business value.

AI Oversight & Supervision

Assessing the accuracy, consistency and logic of results generated by artificial intelligence. Applying human-in-the-loop review practices to maintain reliability in AI-assisted processes.

Productivity

Identifying tasks where artificial intelligence can be useful – creating documentation, reports, summaries, and data in visual form.

AI-Augmented QA

Using AI to explore websites and check for usability, create reproduction steps, discover differences, find specific content or detect errors and get guidance on improvements.

Responsible AI Practices

Understanding of AI limitations and ethical considerations. Structured approach to validating AI outputs before they reach production or final decisions.

AI Cycle

Using AI to improve reports and results based on developed guidelines to create new, updated content and verify it based on data from various sources.

Technical Analysis

Chart pattern recognition, price action, trend lines, indicator-based analysis, signal evaluation across multiple timeframes.

Fundamental & Macro Research

Earnings reports, economic data releases, geopolitical events, sector rotation and market sentiment.

AI-Assisted Market

Leveraging AI tools to accelerate market research: news summarisation, sector and earnings call analysis, screening for opportunities at scale based on developed prompts, improving algo strategies.

Human Part

Systematic review of the financial instruments, draw conclusions from observed data, adaptive decision-making-management and contextual intuition.

Chart Based Setups

Adaptive rule-based setups with entry levels, stop-loss, resistance, support and take-profit criteria. Probability, not certainty.

Risk & Portfolio

Understanding of position sizing, diversification, correlation, volatility metrics, and structured approaches to managing downside in uncertain market environments.