Professional Overview
A telecommunication engineering graduate who likes Artificial Intelligence (AI), learning about AI and Data Science through boot camps and online courses, Has experience as a computer vision engineer and data scientist. Using some Python libraries for AI and Machine Learning (ML) like Scikit-learn, XGBoost, Tensorflow, Pytorch, OpenAI, Langchain, and Transformers from Hugging Face and object detection algorithms like YOLOX, YOLOv8 and Yolonas
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.