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AI Tooling Engineer with 2+ years in Data Annotation & AI/LLM Quality.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and results-driven professional with 2.5 years of experience in AI/LLM operations and data annotation. Proficient in designing and refining prompts, evaluating AI outputs, and creating high-quality datasets for LLM models. Skilled in LiDAR, image, and video annotation for autonomous systems, ensuring data accuracy and model validation. Recognized as a Best Performer in previous roles, demonstrating strong technical abilities and a commitment to quality.
Swarna Bharathi Institute of Science and Technology
B.Tech · Computer Science Engineering
August 1, 2018 – June 30, 2022
Innodata India Private Limited
Analyst-AI/LLM Practice
January 1, 2026 – June 1, 2026
India
NVIDIA
ASSOCIATE PROCESS EXECUTIVE
February 1, 2024 – December 1, 2025
India
Cultural Fit Analysis
The candidate has experience across two companies, Innodata and NVIDIA, both involved in AI/ML data processing. This demonstrates adaptability to different project contexts within the AI domain. The roles primarily focus on data annotation and validation, which aligns with the practical aspects of AI tooling. The breadth of skills in various annotation types (image, video, LiDAR, text) suggests a versatile individual. However, the experience is heavily skewed towards data labeling and prompt evaluation rather than core software engineering or tooling development, which might require a specific cultural fit for a pure 'AI Tooling Engineer' role.
Soft Skills & Operational Fit
The candidate's experience descriptions indicate a collaborative approach, systematic review, and a focus on quality and consistency, which are positive indicators for operational fit. The English test score of 86 suggests good communication clarity.