Leading model development for an innovative ASL (American Sign Language) Translator project, enhancing model accuracy and real-time translation capabilities.Building and optimizing data pipelines for efficient data processing.Assisting in backend development to ensure seamless integration and performance.

- Developed comprehensive calibration processes for the entire software system and employed C++ and RTMaps to optimize data flow, improving system response and vehicle handling.- Built software components that facilitate seamless communication between vehicle sensors, controls, and planning modules to enhance driving performance and safety.

Led a team to build a full-stack AI-driven website focused on detecting cuts, wounds, and burns using computer vision (CV) and large language models (LLMs).Key Contributions:AI Integration: Applied computer vision techniques to accurately detect and classify injuries. Integrated LLMs to generate detailed feedback and suggestions based on image input.Model Training & Optimization: Trained and tested multiple deep learning models, including CNNs and RNNs, to enhance the detection accuracy of various skin injuries.Collaboration & Leadership: Coordinated team efforts, distributed tasks, and ensured alignment across the development, AI, and deployment stages.

Worked under Dr Aamir Khan to create a cutting-edge project focused on using computer vision to detect oral cancers. Gained hands-on experience with various computer vision techniques, including applying filters and masks to medical images. Explored and implemented different CNN and RNN models to improve detection accuracy. Additionally, I reviewed and attempted to recreate several research papers to stay at the forefront of medical AI advancements.

Built a website to collect e-waste, ensuring proper handling and raising awareness about e-waste management. Led community outreach efforts, organized waste collection drives, and partnered with recycling centers to promote environmental sustainability.