Rutva Patel

About Rutva Patel

I build computer vision systems that work in the real world — not just in…

Experience

1. Ai Ml Engineer

   Rapidise Inc

   Sep 2024 — Present · Ahmedabad, IN

   As an AI/ML Engineer, I design, develop, and deploy machine learning and deep learning models to drive innovation in health, safety, driver monitoring, industrial safety, and automation systems. My expertise lies in creating AI-powered solutions that enhance efficiency, safety, and real-time decision-making.Key Responsibilities Machine Learning & Deep Learning – Develop, train, and optimize ML/DL models for computer vision, predictive analytics, and anomaly detection. Work with architectures like CNNs, Transformers, and LSTMs. Computer Vision & Image Processing – Build real-time object detection, tracking, and segmentation solutions using YOLO, Faster R-CNN, and Vision Transformers for industrial and driver safety applications. LLMs & Generative AI – Leverage large language models (LLMs) and GenAI for automated report generation, anomaly explanations, and AI-assisted decision-making. Deployment & Optimization – Deploy AI models on cloud (AWS/GCP/Azure) and edge devices. Optimize models using pruning, quantization, and distillation. MLOps & Automation – Develop end-to-end ML pipelines with MLflow, and Kubeflow for efficient model training, monitoring, and CI/CD integration.Technologies & Tools Programming & Frameworks: Python, TensorFlow, PyTorch, Scikit-learn, OpenCV Cloud & Edge AI: AWS SageMaker, Azure ML, Google Cloud AI, NVIDIA Jetson, TensorRT MLOps & Deployment: Docker, Kubernetes, MLflow Computer Vision: YOLO, Faster R-CNN, Vision Transformers Integrated LLMs & GenAI to automate safety insights and enhance decision-making.

Education

• Gandhinagar Institute of Technology

  Bachelor of Engineering - BE, Information Technology

  2017 — 2021