– Developed and implemented robust infrastructure and pipelines for the deployment of machine learning models on AWS.

– Engineered online feature stores to support real-time data and optimized batch inferencing to handle large-scale data efficiently.

– Contributed to the deployment of diverse machine learning models, including document layout models, YOLO for real-time object detection, and large language models, further expanding the scope and impact of deployment solutions.

– Led the deployment and performance optimization of large language models, including BLOOM and Flan-T5, using tensor and model parallelism to accelerate token generation and enhance model performance.

– Developed an AI-driven tool for extracting circuit diagrams as a graph of connected components from documents.

– Implemented a graph convolutional network (GCN) to train graph contrastive learning models for different circuit layouts, achieving high recall in identifying similarities between different circuit layouts.

– Introduced a custom ranking algorithm for product recommendations supporting automated price estimation for sales personnel.

– Developed vision algorithms for safety monitoring systems in warehouses using cameras to ensure compliance with social distancing.

– Conducted demand forecasting for manufacturing and service-oriented businesses, focusing on supply chain improvements.

– Developed Computer Vision based for quality assurance in manufacturing processes, reducing material waste.

– Conducted operational research to optimize logistics, utilizing advanced algorithms to improve route planning and resource allocation, reducing costs and delivery times.