AI Engineer with 6+ years of experience specializing in the design, development, and deployment of AI/ML solutions for the automotive industry, with a focus on Advanced Driver Assistance Systems (ADAS). Skilled in object…
AI Engineer with 6+ years of experience specializing in the design, development, and deployment of AI/ML solutions for the automotive industry, with a focus on Advanced Driver Assistance Systems (ADAS). Skilled in object detection, semantic segmentation, prediction modules, and driver monitoring systems including drowsiness and distraction detection. Proven expertise in deep learning models (CNNs, RNNs, Transformers) and development of inference code for deployment. Proficient in TensorFlow, PyTorch, TensorRT, Python, and C++. Adept at bridging the gap between research and production, delivering optimized AI solutions for camera-based perception, driving assistance, and safety functions.
Developed AI/ML models for ADAS driver monitoring systems focusing on drowsiness and distraction detection using CNN, LSTM, and YOLO on camera input data.
Translated theoretical concepts into practical applications by designing and developing models from scratch.
Conducted thorough experimentation and hyperparameter tuning to optimize model performance.
Created comprehensive and well-documented class diagrams using Enterprise Architect, ensuring alignment with system requirements and design principles.
Updated Software Requirements Specifications (SWRS) in DOORS to meet customer requirements and established traceability between software requirements, customer requirements, and software design.
Designed unit test cases to ensure robust software functionality.
Ensured code quality by adhering to MISRA coding guidelines and implementing clean coding practices.
Mentored junior engineers and interns on AI projects.
Developed AI/ML models for ADAS driver monitoring systems focusing on drowsiness and distraction detection using CNN, LSTM, and YOLO on camera input data. Translated theoretical concepts into practical applications by designing and developing models from scratch. Conducted thorough experimentation and hyperparameter tuning to optimize model performance. Created comprehensive and well-documented class diagrams using Enterprise Architect, ensuring alignment with system requirements and design principles. Updated Software Requirements Specifications (SWRS) in DOORS to meet customer requirements and established traceability between software requirements, customer requirements, and software design. Designed unit test cases to ensure robust software functionality. Ensured code quality by adhering to MISRA coding guidelines and implementing clean coding practices. Mentored junior engineers and interns on AI projects.
Responsible for solving business use cases using Computer vision.
Implemented new algorithms from scratch for AI Projects.
Developed end to end solutions for various functionalities of the application.
Provided support to internal teams to incorporate AI into the organization thereby reducing the human effort.
Responsible for solving business use cases using Computer vision. Implemented new algorithms from scratch for AI Projects. Developed end to end solutions for various functionalities of the application. Provided support to internal teams to incorporate AI into the organization thereby reducing human effort.
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