▪ Developed and Deployed Advanced ML Models: Implemented LSTM-CNN models to understand electrical patterns in appliances (e.g., Dishwashers, EVs, Motors) and integrated deep learning - object detection models, achieving up to 93% classification accuracy and 89% regression accuracy.▪ Innovated Real-Time Solutions and Predictive Maintenance: Engineered a fire detection model, securing a provisional patent, and designed a predictive maintenance model for air conditioners, presented globally.▪ Automated Processes and Led Team Initiatives: Streamlined machine learning processes for time-series data (3000+ data points/sec) and mentored a team to optimize data collection and maintain ML pipelines.▪ Boosted User Trust and Industry Partnerships: Developed high accuracy models resulting in a 4.5x increase in user growth and procured top industry collaborations that secured contracts worth $2,500,000. Constructed a Solar Power Automation project, won Sustlabs the Accelerate Award in Panasonic's Ignition program.

▪ Advanced Technologies: Specialized in Machine Vision, AI, Deep Learning, YOLO (Computer Vision), Robot Operating Systems (ROS), and Jetson Nano Developer Kit for AI-driven applications.▪ Executed 3 End-to-End Projects: Diamond counting, chocolate counting, and package inspection projects, overseeing problem analysis, data collection, annotation, model training, deployment on embedded devices.▪ Business Impact - Process Improvements: Acquired new business through project execution, designed a cloud-based ML training pipeline that increased production speed by 40%, and automated model training, reducing time by 57%. Enabled users to efficiently train and customize predictive local models.

▪ Managed ML Operations: Directed research and development of computer vision-based solutions, building end-to-end AI architectural pipelines for classification problem with 13% improvement in detection accuracy.▪ Built Models - Enhanced Team Skills: Fine-tuned PyTorch model for classifying manufacturing defects in car parts and collaborated on an auto inspection tool. Conducted training workshop in Python, PyTorch, including deep learning - computer vision concepts, to accelerate team efficiency and performance.