Chanikya M P

Completed a one-month internship specializing in Artificial Intelligence and Machine Learning. Learned Linear and Logistic Regression concepts and applied them to real-world projects.

• Completed a one-month internship specializing in Artificial Intelligence and Machine Learning.
• Learned Linear and Logistic Regression concepts and applied them to real-world projects.

Developed Python solutions for AI agents and prompt engineering, utilizing LLM models. Utilized AWS services (S3, Bedrock, SageMaker) for data collection and multi-document segmentation. Created interactive UI applications with Streamlit to demonstrate project outcomes to stakeholders. Managed code versioning and collaboration via Git and GitHub. Participated in hackathons, developing sentiment analysis tools and live dashboards. Engaged in training sessions to enhance team skills and knowledge. Built an end-to-end document extraction pipeline using LLMs and Streamlit for interactive PDFanalysis. Developed modular agents for schema selection, data extraction, and entity condensation,with robust validation via reflection agents. Enabled asynchronous processing, Azure OpenAIintegration, and dynamic UI visualization of extracted data and bounding boxes, supporting scalableand interactive document review.

• Developed Python solutions for AI agents and prompt engineering, utilizing LLM models.
• Utilized AWS services (S3, Bedrock, SageMaker) for data collection and multi-document segmentation.
• Created interactive UI applications with Streamlit to demonstrate project outcomes to stakeholders.
• Managed code versioning and collaboration via Git and GitHub.
• Participated in hackathons, developing sentiment analysis tools and live dashboards.
• Engaged in training sessions to enhance team skills and knowledge.
• Built an end-to-end document extraction pipeline using LLMs and Streamlit for interactive PDFanalysis. Developed modular agents for schema selection, data extraction, and entity condensation,with robust validation via reflection agents. Enabled asynchronous processing, Azure OpenAIintegration, and dynamic UI visualization of extracted data and bounding boxes, supporting scalableand interactive document review.