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AI Engineer with less than a year in AI Data Tasks & LLM Analysis
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Assessing your cultural and operational fit
Detail-oriented AI/LLM Analyst and Data Annotation Specialist with hands-on experience across a wide range of AI data tasks — including AI response evaluation, human-likeness ranking, image annotation, person removal from images, and script writing for visual deconstruction and reconstruction. Currently at Innodata Inc., delivering 98% annotation accuracy and 100% productivity across multiple large-scale LLM and AI training projects. Skilled at following complex guidelines, maintaining quality under volume, and adapting quickly to new task types.
Deen Dayal Upadhyaya (DDU) Gorakhpur University
Bachelor of Science (B.Sc.) · Mathematics
N/A – June 30, 2013
Innodata Inc.
AI / LLM Analyst (Data Annotation Specialist)
December 1, 2025 – May 31, 2026
Karnataka, India
Cultural Fit Analysis
The candidate's experience is primarily in data annotation and quality assurance for AI/LLM projects, which aligns with the operational aspects of an AI Engineer role. Their collaboration skills and adaptability suggest a positive cultural fit for team-oriented environments. However, the breadth of technical skills beyond annotation is limited, which might impact fit for a purely engineering-focused role.
Soft Skills & Operational Fit
The candidate demonstrates strong attention to detail, high productivity, and effective team collaboration, which are crucial for operational roles. Their ability to adapt to new task formats and guidelines indicates good learning agility and process compliance. The experience in quality assurance and data validation suggests a methodical approach to work.