— Revolutionizing Healthcare Information Processing• Article Classification System: Collaborated on designing and implementing a robust classification system for the healthcare domain, utilizing supervised and unsupervised learning algorithms. This system efficiently categorizes vast amounts of medical information, enhancing retrieval speed and accuracy.• Summarization Feature Development: Contributed to creating a text summarization feature from scratch using pre-trained models from Google and Hugging Face. Achieved excellent results in extractive summarization, allowing users to quickly grasp key points of medical articles.• Advanced Summarization with LLMs: Supported the integration of leading large language models (LLMs) to enhance summarization capabilities, ensuring domain-specific and highly relevant summaries for healthcare professionals.— Building Intelligent Conversational Interfaces• Document-Based LLM Chatbots: Participated in developing chatbots powered by document-based LLMs, starting with basic embedding models and vector databases, and optimizing for efficiency.• Azure Bus for Text Embedding: Established an Azure Bus for automatic text embedding generation, enabling seamless real-time data access for chatbots.• ElasticSearch for Chatbot Optimization: Explored ElasticSearch to fine-tune chatbot responses, focusing on user-centric experiences.— Facilitating Integration and Quality Assurance• API Development: Deployed Django REST Framework to create robust API endpoints for efficient data interchange.• Human-in-the-Loop Systems: Implemented a sophisticated human-in-the-loop system to iteratively improve AI model performance.Driving Technological Advancements• AI Research: Engaged in cutting-edge research to explore and integrate emerging AI technologies.• Innovation at Infodesk: Played a key role in advancing Infodesk’s mission to revolutionize healthcare information accessibility through technological innovation.

• Led development of innovative AI-driven automation for the Cashew Sorter Machine.• Designed and implemented precise AI algorithms, enhancing sorting efficiency.• Collaborated on cross-functional teams, defining objectives and ensuring client alignment.• Conducted rigorous testing, ensuring reliability and adherence to quality standards.• Provided technical support, contributing to seamless machine operation.• Stayed updated on AI and automation advancements for continuous process optimization.• Contributed to company growth by delivering high-quality solutions, exceeding client expectations.

• Engaged in an intensive research project, "Estimation of Image Quality Parameters in Satellite Imagery," under ISRO scientists' mentorship.• Investigated image quality assessment, focusing on addressing blur as a significant noise factor in satellite imagery.• Designed and implemented innovative AI algorithms for effective categorization of satellite images into blurry and non-blurry.• Developed sophisticated image segmentation techniques using Binary Blur Masks to isolate and analyze blurred regions within the images.• Generated comprehensive summary reports, offering valuable insights from the image quality assessment process, contributing to ongoing satellite imagery projects at ISRO.