Sateesh Sivakoti is a Senior Data Scientist specializing in conversational AI with 8 years of experience building ML systems from structured-data models to multi-modal and generative AI. He has rapidly moved from classic marketing and lifecycle modeling at PayPal to leading production-scale LLM agents, QLoRA fine-tuning, and agentic pipelines that balance throughput and robustness. His work uniquely combines vision and language—integrating YOLO-based logo detection with LLM validation—to solve messy real-world product problems. Comfortable in both research and production, he has delivered merchant crawlers, recommendation systems, and uplift estimation pipelines with measurable business impact. Trained as an aerospace engineer at IIT Madras, he brings rigorous experimentation and simulation instincts to ML system design. He also shares knowledge publicly through technical talks on Transformers and multi-task neural networks, reflecting a strong communicator who bridges research and engineering.
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