Kuwar Kapur

Implemented live feed YOLOv8 video analytics for real-time monitoring, developed an object detection pipeline for geospatial data, and integrated advanced models for enhanced precision in drone video analysis.

Conducted experiments on bacteria growth analysis using advanced methods like Transformer Encoder Networks. Implemented video analysis tasks for gene modification and lab automation, contributing to significant insights into bacterial life cycles.

Optimized drone performance by implementing multiple AI pipelines and developed a template matching system to enhance object recognition and tracking capabilities.

Oversaw the growth of a machine learning-based health tech startup, implementing various ML algorithms and managing the tech team. The startup was shortlisted for the Google Startup Bootcamp.

Worked on hyperspectral imaging and automated image processing pipelines to analyze food quality, implementing advanced classification techniques to improve results.

Developed and optimized machine learning algorithms for computer vision applications, focusing on end-to-end solutions for 3D and AR technologies.

Worked on GPU-accelerated recommender system models, improving architecture performance through hyperparameter tuning and gaining certifications in accelerated data science.

Collaborated on developing a portfolio website template and implemented a React app using OpenWeather API, enhancing skills in web development and API integration.

Pursued a Bachelor of Technology in Mechatronics, focusing on the integration of mechanical engineering, electronics, computer science, and control engineering. Developed skills in designing and creating intelligent systems and automation.