Le Trac Tien

− Applied large language models (LLMs) for automated CV processing: extracting candidate information, analyzing data, and evaluating suitability for job positions. − Designed UI/UX with features for tracking recruitment tasks, monitoring candidates, scheduling interviews, and generating reports − Tools & Technologies: Python(FastAPI), Vue.js, Docker, MongoDB, Gemma 2, LangChain;

− Researched and collected materials on SOC, SOC2 reports, ecurity standards, managed vector database storage. − Built an RAG model, designed the UI/UX, and integrated APIs. − The system can answer questions about SOC and evaluate SOC2 reports. − Tools & Technologies: Python (FastAPI), Gemma 2, LangChain, Llama Cpp, Chroma, NodeJS - Express.;

− Image processing (Gaussian Blur, HSV, perspective transformation) to detect and follow road markings. − Deployment of autonomous vehicles to recognize STOP signs, avoid obstacles using ultrasonic sensors and adjust the direction of movement. − Tools & Technologies: Python, OpenCV, NumPy, Picamera2, Cascade Classifier, Raspberry Pi 3B+, HC-SR04. ;