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Manideep Reddy Mandhadi
Ai Ml Engineer @Toyota Motor Corporation
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WORK HISTORY
Ai Ml Engineer @Toyota Motor Corporation
Los Altos, CA, US
Developed and optimized YOLOv7-based object detection systems for autonomous vehicles, achieving sub-20ms latency through TensorRT optimization and edge deployment • Designed predictive maintenance systems for EV batteries using LSTM models, reducing potential failures by implementing early warning systems • Engineered driver behavior analysis platform with clustering algorithms (K-Means, DBSCAN) and Random Forest classifiers, processing terabytes of telematics data • Created human-centric in-vehicle NLP system utilizing RAG architecture with LangChain, Pinecone vectorstore, and fine-tuned LLMs for contextual understanding • Implemented multi-modal data fusion framework combining vision, LiDAR and IMU sensors for enhanced autonomous decision-making • Established end-to-end MLOps pipelines with MLflow, Kubeflow, and GitHub Actions, enabling continuous model improvement and deployment
EDUCATION
University of the Pacific
Master of Science - MS
Jawaharlal Nehru Technological University
Bachelor's degree
ABOUT MANIDEEP REDDY MANDHADI
AI/ML Engineer transforming mobility through advanced deep learning solutions at Toyota Motor Corporation. Specialist in real-time perception systems for autonomous vehicles, NLP with RAG architectures, and predictive analytics for EV battery health. Previously engineered ADAS modules and IoT-powered solutions at Bosch. Passionate about developing human-centric AI that solves real-world challenges through multi-modal data fusion and explainable models. Expert in PyTorch, TensorFlow, LangChain, and MLOps deployment on AWS. Seeking collaborations at the intersection of autonomous systems, computer vision, and generative AI.
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