Le Dinh T.

I have been working on some projects relative to Intelligent Video Analysis for - AI Agent collecting lead for photographer business - Retriever and answer question based on given knowledge documentation using langchain, hugging face and OpenAI platform API - Traffic surveillance, vehicle detection, license plate recognition - Pose estimation - Re-identification (reID) system - Retail shop tracking management - people tracking for single camera and multiple cameras - Had about 6 years of experience with Deepstream So the experience that I consist of: + Skill: - Build Hailo Engine AI model on Pi Raspberry 5 edge device - Building/Training model Deep Learning for Objects Detection / Classification - Image and Video processing - Working on streaming video, understanding video Encode/Decode - Data mining (Data struct design, data analysis) - Optimizer algorithm/modeling - Video Encoding/ Decoding on GPU and CPU - Web development (I self develop the Web Application name Data Annotation Tool. The system manager and labeling data for image/video. Build own self-DATASET for training model) - WebRTC - DevOps + Programming language - C/C++, Python, JavaScript, Java, Go, Rust + Framework LLM: OpenAI Platform, LangChaib, SGlang / Ollama / vLLM Vision: OpenCV, DS-ML: Numpy, Pytorch, Caffe, Keras Nvidia: NVDEC/NVENC, TensorRT, Deepstream SDK, TAO Toolkit Database: Postgresql, MongoDB (Cloud / Atlas), MySQL, SQLlite, Redis Font-End: React, FabricJS Back-End: Django (Django REST), Message Serving: Kafka Apache, NATS, Elastic Others: FFmpeg, , GStreamer, Celery, Kurento + Clouds: AWS, Google Cloud, Digital Ocean + Tool / Software / Application - Linux, Window - Visual Studio Editor, Sublime Text - Docker - Copilot