I currently contribute to cutting-edge projects at Detect.ai, where we leverage state-of-the-art models like YOLO (You Only Look Once) and SAM (Segment Anything Model) to enhance disease detection and segmentation and develop as well as developing intelligent chatbots to enhance user interactions.

I have successfully designed and implemented advanced chatbot solutions across various domains, including legal, veterinary, and document-based question answering systems. My work involves leveraging natural language processing (NLP) and machine learning (ML) techniques to create intelligent, user-friendly conversational agents tailored to industry-specific needs.

I played a pivotal role in developing and deploying machine learning algorithms tailored for text classification. My work centered on designing models that accurately categorize and analyze large volumes of textual data, providing actionable insights across various domains.

At Neuron4Vet, I spearhead the development and deployment of advanced computer vision models like YOLO designed to revolutionize veterinary care. Our team focuses on creating AI-driven solutions that enhance the early detection and diagnosis of diseases in pets, with a particular emphasis on 5-6 common conditions affecting animals.

My role is to develop comprehensive reports to aid management in understanding sales trends, inventory levels, and other key metrics.

Developed and maintained daily, weekly, monthly, and yearly reports using Excel focusing on various KPIs such as sales performance, inventory levels, etc.