Kartik Anagawadi

I am a Machine Learning Engineer with 2 years of experience in deep learning, computer vision, NLP, and multimodal AI. My expertise lies in deploying scalable ML models and optimizing inference, achieving significant performance improvements. I have successfully developed fish freshness classification models with 90% accuracy and implemented object detection pipelines for automated quality checks.

At Qzense Labs, I developed an ML pipeline for seafood freshness prediction and optimized model inference using Intel OpenVINO, achieving a 4x reduction in latency without sacrificing accuracy. My projects include a Smart Polygon Annotator for object segmentation and a multimodal AI search engine that supports text-to-image and image-to-image retrieval, showcasing my ability to create innovative solutions in the AI space.