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Mindrift
LabelboxNo subject matter listed
Image
Computer Code Programming
Text
Classification
Function Calling
Computer Programming/Coding
RLHF
Fine-tuning
Segmentation
Red TeamingI have contributed extensively to the AI training ecosystem as an AI Trainer, Evaluator, Annotator, Domain Expert, Quality Reviewer, and Rubric Designer across multiple platforms. My technical depth allows me to evaluate and generate high-quality training data for code generation, debugging, API design, and multi-step reasoning tasks, that is, areas where software engineering expertise directly elevates the quality of model outputs. In my AI training work, I have performed RLHF-based response evaluation, prompt engineering, fact-checking, hallucination detection, eval set construction, and red-teaming — as well as quality assurance reviews on other annotators' outputs. I bring a structured, evidence-grounded approach to annotation, writing detailed rubric-aligned notes that hold up to iterative QA feedback cycles. This combination of production-level engineering experience and deep familiarity with AI alignment workflows positions me to bridge the gap between software development and AI model improvement, contributing meaningfully at both the technical implementation layer and the human feedback layer that shapes how modern language models reason and behave.
TextRLHFTest chatbots underlying AI model's adherence to defined policies for different business domains like restaurants, auto-insurance, hospitals, banks. Check for the different tools they call and the correctness and relevance of the parameters passed.
Bachelor of Engineering , Software Engineering
