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Khanh N.

Khanh N.

Computer Vision Engineer · Entry-level

Rate on request

Professional Overview

I am an AI engineer with a strong foundation in utilizing programming languages such as Python and C++, along with deep learning libraries including PyTorch, TensorFlow, and ONNX. My primary focus lies within the domain of Computer Vision, and I have gained valuable experience through engaging in projects encompassing OCR, face recognition, fraud detection, and out-of-distribution classification.With a passion for leveraging cutting-edge technologies, I possess a comprehensive understanding of AI algorithms and methodologies. My expertise extends to developing and implementing neural networks, optimizing model performance, and ensuring robustness in real-world applications. I consistently stay abreast of the latest advancements in the field, enabling me to effectively tackle complex challenges and deliver innovative solutions.I am now seeking opportunities to contribute my skills and knowledge as part of a dynamic team. By applying my technical proficiencies and problem-solving mindset, I am dedicated to driving impactful outcomes and pushing the boundaries of AI-driven solutions. If you are seeking a highly motivated AI engineer with a strong background in Computer Vision and a proven track record in diverse projects, I am confident that my expertise and enthusiasm make me an ideal candidate for your organization.I eagerly await the opportunity to discuss how my skills can align with your company's goals and contribute to its success. Thank you for considering my application.

Areas of Expertise

Computer Vision

Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.

NLP & Prompt Engineering

Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.

AI & Machine Learning Engineers

Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.

Open to

Part Time Freelance Internship Full Time

AI Expertise

Computer Vision chatgpt Deep Learning Research ML (Machine Learning) NLP & Prompt Engineering AI & Machine Learning Engineers

Skills

deep learning Computer Vision programming Python c++ PyTorch TensorFlow onnx Scikit-Learn opencv

Experience Level

Entry-level

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