Vijay Nagar Email & Phone Number

Passionate Computer Vision Engineer with expertise in designing and developing cutting-edge Vision & ML models, specializing in Traffic Control and Advanced Driver Assistance Systems (ADAS). Proficient in Image Processing, Signal Processing, Machine Learning, and Deep Learning. Skilled in collecting and processing large-scale traffic sign training databases and optimizing models for real-time applications. Successfully developed tools to enhance traffic sign recognition and post-processing algorithms. M-Tech thesis research focused on contact-less fingerprint recognition using Deep Learning models at PRIA Lab, IIT Indore.

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  Computer Vision Engineer

  Continental

  Oct 2021 - Present - Bangalore Urban, Karnataka, India

  Spearhead the design and development of Vision & ML models, including PC, SVM, CNN, and OCR, for accurate traffic sign recognition in ADAS applications.Optimize models to ensure real-time performance and efficiency.Collaborate with cross-functional teams to gather requirements and ensure seamless integration with ADAS systems.Implement after-classification post-processing algorithms to enhance the accuracy and reliability of traffic sign recognition.Design and develop DeepLearnig algorithms for detection of Traffic Sign, Lights, and Pavement signs.