Aravind Anilkumar V

Worked on developing the UI for POC purposes using Streamlit. Worked in the collection and analysis of data. Involved in testing the final system with the ground truths obtained from real videos.

Analysed historical battery data using the Rainflow algorithm to estimate lifecycle and determine optimal replacement intervals.

• Developed solutions leveraging OpenAI models to answer questions based on scraped website data, integrating Large Language Models (LLMs) for enhanced accuracy.
• Implemented GPT vision models to analyze document images and labels, enabling intelligent responses to user queries from document content.
• Designed a vision-based zone violation detection system using camera images and GPT models, raising alarms to ensure industrial safety compliance.
• Created LangChain agents for postal delivery tasks, optimizing workflows, and enhancing decision-making through automated solutions.
• Gained hands-on experience in Generative AI, OpenAI APIs, and LangChain for solving real-world challenges across various domains.

• Worked on ADAS systems, developing object detection solutions for self-driving cars using YOLO models, optimized for deployment on Xilinx boards.
• Trained YOLO models on dental images to detect defects in teeth for medical diagnostic applications.
• Contributed to model training, performance tuning, and deployment, ensuring high accuracy and efficiency in real-world scenarios.
• Applied expertise in Python, TensorFlow, and AI frameworks to deliver impactful solutions.
• Passionate about leveraging AI and computer vision to solve challenging problems across industries.