Kanan Vyas is a Senior Machine Learning Scientist with 9 years of experience building production-grade deep learning systems across computer vision, NLP and LLM-powered agents. She has delivered high-impact solutions—from a 200+ camera real-time PPE and fire detection deployment that saved an estimated ₹93 Cr/year, to boosting visual search recall and document layout extraction through targeted finetuning and synthetic data strategies. Comfortable across the ML lifecycle, Kanan pairs research-driven model improvements (CLIP, YOLO, LayoutLMv3, EfficientNet) with robust engineering using Docker, Kubernetes, FastAPI, LangChain/LangGraph and MLOps tooling. She’s led agentic evaluation frameworks processing 10K+ daily queries and scaled APIs serving tens of thousands of documents and requests per day. Beyond engineering, she founded a community initiative to empower women in tech, reflecting both technical leadership and commitment to mentorship.
9 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree Information and Communication Technology, Bachelor’s Degree Information and Communication Technology at Ahmedabad University
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