AI-focused Quality Engineer with strong coding skills and experience
integrating traditional software engineering methodologies with
cutting-edge AI/ML technologies, particularly in fast-paced startup
environments.
I've recently invested several months in mastering AI tools, gaining
expertise in data analysis and preparation, agent creation, multi-agent
systems, custom AI search with RAG, and voice agent development. Through
this journey, I've accelerated my learning curve in AI, and developed a
customized approach to testing and advancing AI tools.
My experience and a passion for customer's needs enable me to deliver
high-impact solutions. I want to tackle complex challenges and drive
innovation, with a continued focus to learn and grow in the AI space.
Technical: Python, JavaScript, TypeScript, HTML, SQL,
API, Frontend & Backend Testing
Testing: End-to-End Testing, Playwright Automation
Framework, CI/CD Integration, Complex Business Logic, Data Analysing,
Data Preparation, Performance Testing
Tools: JIRA, Git, GitHub Actions, pgAdmin4, Visual
Studio
AI Tools: OpenAI Codex, Claude Code, LlamaIndex,
LangGraph, Langfuse Python SDK, OpenAI Agents SDK, Chatbot Testing &
Evaluation
Contributed to AI and data science projects spanning RAG frameworks, API
integration, data cleaning and analysis with interactive visualization,
and multi-agent voice technologies. Selected highlights include:
-
Developed AI research assistant using DPR encoders, IndexFlatL2
indexing, and t-SNE visualization techniques to retrieve and analyze
brain science research and neurological data from recent publications.
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Demonstrated API data ingestion, transformation, and visualization
using Python libraries. NBA API Analysis project pulled team metadata
and game logs using nba_api, calculated win-loss records and scoring
averages, and visualized performance using Matplotlib.
-
Built a voice agent and multi-agents projects using Vapi, ElevenLabs,
and OpenAI Agents SDK.