Mohammad Mufeez Ibrahim

Computer Science (CS) graduate with hands-on project experience in full-stack development (Python, React.js, JavaScript, Node.js, SQL, REST API) and AI evaluation for large language models. Proficient in LLM quality assurance, multimodal content assessment, and model benchmarking. Skilled in version control (Git, GitHub), project tracking (Jira) and biometric authentication in academic projects.

Pursuing an MBA in Finance Management, combining technical and business acumen. Strong analytical, collaborative, and problem-solving abilities with a focus on delivering scalable and secure applications. Seeking an entry-level role in Data Analyst.

LLM Trainer - Video Annotation Specialist - Turing (OpenAI Client) - San Francisco, CA (Remote)

(2025-09 - 2025-12)

• Annotated hundreds of short robotic task videos to map robot actions to human-readable descriptions, supporting the training and evaluation of LLMs for robotics and embodied artificial intelligence systems
• Identified main objectives and sub-steps of each robotic task, classifying outcomes as succeeded, partially succeeded, or failed while documenting errors and inefficiencies
• Provided detailed timestamped annotations describing each robot movement, ensuring adherence to structured guidelines for dataset consistency and quality
• Reviewed and refined 100+ annotations based on feedback to improve annotation accuracy, clarity, and consistency between reviewers
• Contributed high-quality proprietary data used for fine-tuning and benchmarking frontier large language model capabilities across reasoning, multi-modal understanding, and embodied artificial intelligence domains

MBA - Finance Management - Andhra University (2024 - 2026)

B.Tech - Computer Science and Engineering - SRM Institute of Science and Technology (2020 - 2024)