AI Trainer and Human-in-the-loop Annotation Lead
TextFine Tuning
This experience involved leading, designing, and coordinating AI model training and evaluation initiatives. Activities included dataset curation, human-in-the-loop annotation standards, model validation, and performance benchmarking across scientific and applied domains. Special focus was placed on fine-tuning probabilistic and deep learning models for time-series, NLP, and decision systems.
• Led human-in-the-loop AI training for supervised, unsupervised, and reinforcement learning frameworks
• Designed and implemented annotation standards for diverse domains
• Conducted model validation, bias assessment, and interpretability evaluation
• Delivered AI training workshops and technical seminars for interdisciplinary teams
This experience involved leading, designing, and coordinating AI model training and evaluation initiatives. Activities included dataset curation, human-in-the-loop annotation standards, model validation, and performance benchmarking across scientific and applied domains. Special focus was placed on fine-tuning probabilistic and deep learning models for time-series, NLP, and decision systems. • Led human-in-the-loop AI training for supervised, unsupervised, and reinforcement learning frameworks • Designed and implemented annotation standards for diverse domains • Conducted model validation, bias assessment, and interpretability evaluation • Delivered AI training workshops and technical seminars for interdisciplinary teams
2018 - Present