Shaik Ibrahim

I'm a Computer Science graduate with hands-on experience in AI training, data annotation, and quality assurance across multiple platforms including Labelbox, Scale AI, Outlier AI, and Appen. My expertise spans:

• AI Data Labeling & Annotation: Experienced with image classification, text annotation, bounding boxes, semantic segmentation, and complex multi-label tasks

• AI Model Evaluation: A/B testing for LLM outputs, prompt engineering, and quality evaluation using structured guidelines

• Technical Skills: Python, JavaScript, Flask, REST APIs, Linux, Git, and cloud technologies (AWS)

• Web Development: Full-stack capabilities with HTML, CSS, JavaScript, and experience building responsive web applications

• Cybersecurity Background: Certified in Cloud Security (ISC2 CC), with knowledge of security auditing and compliance

I've successfully completed 100+ projects across multiple gig platforms with consistent high-quality output and maintained 98%+ accuracy rates. I'm detail-oriented, self-motivated, and excel at following complex annotation guidelines while maintaining deadlines.

Available for immediate work on data annotation projects, AI training tasks, admin support, and content creation. I work efficiently in remote environments and am committed to delivering excellence in every project.