I’m an AI Engineer and Data Scientist with a strong foundation in machine learning, data analytics, and model fine-tuning. My background spans building modular LLM-powered agents, optimizing multimodal models through Reinforcement Learning from Human Feedback (RLHF), and conducting in-depth data analysis for environmental and business intelligence projects.
I’ve led and contributed to multiple AI-driven initiatives — from designing explainable AI systems to managing complex data workflows in both research and industry environments. My experience includes data preprocessing, labeling, and quality assurance across text, image, and time-series datasets, ensuring precision and consistency for downstream AI model training.
As a detail-oriented and technically proficient freelancer, I bring expertise in Python, SQL, TensorFlow, PyTorch, Power BI, and cloud platforms (AWS, GCP), combined with strong organizational and project management skills. I’m passionate about supporting high-quality dataset creation that fuels ethical and high-performing AI systems.
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