Prompt engineering and Response Writing
Prompt engineering and response writing in python code
Hire this AI Trainer
Sign in or create an account to invite AI Trainers to your job.
No subject matter listed
I have extensive experience in data labeling and AI training workflows, with a strong focus on computer vision, natural language processing (NLP), and generative AI systems. At Sponsorlytix, I annotated large-scale datasets for object detection, segmentation, and classification using Roboflow, and contributed to developing advanced deep learning models for real-time pose estimation, multi-camera tracking, and sports analytics. My work often combined dataset curation, preprocessing, and model optimization to deliver AI solutions that perform reliably in production. I have managed medical imaging data labeling pipelines and curated NLP datasets for chatbot training, sentiment analysis, and classification during previous roles. This hands-on experience across diverse domains healthcare, sports analytics, and enterprise AI applications equips me with the precision, scalability mindset, and technical expertise needed to ensure high-quality training data. My background as a full-stack and machine learning engineer further sets me apart, enabling me to design end-to-end AI systems that integrate robust data pipelines with advanced ML model.
Prompt engineering and response writing in python code
sports analytics, real-time pose estimation, multi-camera tracking.
Higher Diploma Level 4, Information Technology
Higher Diploma Level 5, Information Technology
Computer Vision & ML Engineer
Full-Stack Developer