About Me
I am a QA Software Analyst at DataLogic, experienced in testing web and mobile applications to ensure reliable, high-quality releases. Skilled in manual testing, test case execution, and defect tracking using Azure DevOps, with a focus on identifying issues early and supporting stable production environments.
Continuously working to expand technical skills by developing Playwright automation tests and exploring emerging technologies such as AI tools and private LLM deployments to improve workflows and efficiency.
Technology Stack
AI Specializations
Local LLM Deployment
Experimenting with local AI models using Ollama to explore private AI solutions and internal tooling.
AI-Augmented Development
Leveraging AI models such as Claude and OpenAI to accelerate debugging, generate test scenarios, and support software development workflows.
AI for QA Automation
Exploring how AI can support test generation, bug analysis, and automation processes.
AI Workflow Research
Researching practical ways to integrate AI into development and testing workflows.
Projects
// projects.lsHumanoid Robot AI Brain
End-to-end AI system integrating LLM-based reasoning with real-time sensor data for humanoid robot decision-making at MRL.
Real-Time Person Tracker
YOLO-based multi-person tracking with OpenCV achieving 30fps inference on edge hardware for robotics applications.
Autonomous Agent Framework
Modular framework for building multi-step AI agents with tool-use, memory, and task planning using local LLMs.
Formal Theorem Prover
LLM-powered formal reasoning engine integrated into robotics software for verifying motion planning correctness.
Industrial Vision System
Defect detection pipeline for manufacturing lines using custom-trained CNN models with 98.4% accuracy on test sets.
Multimodal Emotion Recognition
Fusion model combining facial, vocal, and textual cues for real-time emotion classification in HRI contexts.