ABICH FELIX

I’m a detail-oriented Data Annotation Specialist with hands-on experience in high-quality data labeling for AI and Machine Learning. I’ve delivered precise data tagging and quality assurance through the iMerit Nidra - WF11 project, always prioritizing accurate, ethical handling of information.

In the Nidra - WF11 project, I performed large-scale annotation work to support clean dataset preparation for ML models. I categorized and tagged complex datasets using strict guidelines, and I identified and flagged inconsistencies in raw data to maintain high-quality control. I also collaborated with team leads to refine labeling taxonomies and improve annotation speed.

I bring a strong quality mindset and practical tooling experience across the annotation workflow. I’m proficient in labelbox, CVAT, Scale AI, and proprietary annotation platforms, and I apply high precision to edge-case identification and data validation. I also support execution with structured productivity tools like Microsoft Office Suite, Google Workspace, and basic data entry.

Alongside annotation work, I’ve built disciplined administrative and leadership experience from public service internships. As an intern at the Public Service Commission (PSIP Cohort 8) in the NYS HQ (Nairobi Holding Unit), I managed sensitive personnel data and logistics records with careful organization. At the National Registration Bureau (NRB), I handled high-volume data entry and verification for citizen records while maintaining 100% confidentiality—skills I continue to apply to ethical, detail-heavy data preparation. I hold a Bachelor of Arts in Leadership and Philosophy and a Certificate in Computer Applications.