SFT Trainer
SFT training involving the creation of prompts with multiple restrictions and instructions, evaluating the assistant’s responses, and correcting them.
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I am an experienced AI engineer and trainer with a strong background in creating and managing high-quality training data for computer vision, NLP, and generative AI applications. My hands-on expertise includes designing and executing data annotation pipelines, curating domain-specific datasets, and optimizing model performance through techniques like RLHF and supervised fine-tuning. I have led teams in structuring, labeling, and formatting data for projects such as face detection attendance systems, employee monitoring with behavior analytics, and medical chatbots, ensuring robust model training and ethical alignment. My technical skills span dataset curation, annotation tools, and model evaluation, and I am passionate about delivering accurate, reliable, and scalable AI solutions across diverse domains.
SFT training involving the creation of prompts with multiple restrictions and instructions, evaluating the assistant’s responses, and correcting them.
RLHF training for a well-known LLM, involving providing feedback while considering multiple factors in both code and text generation, along with explanations and correct outputs.
Annotate and handling the complete custom dataset from office premises to detect different objects like chairs, persons, and coffee cups. Main goal was to train detection model for on-premises employees analysis.
Bachelor of Science, Computer Science
Master of Science, Artificial Intelligence
AI Engineer
AI Trainer