AI and Computer Vision Expertise
A mid-level AI/Computer Vision Engineer with 5 years of experience in designing and developing machine learning and deep learning algorithms. Skilled in video classification, object detection, 3D face recognition, and point cloud generation using advanced AI frameworks like PyTorch, TensorFlow, and Keras.
Proficient in Advanced Deployment Techniques
Extensive experience in containerization and orchestration using Docker and Kubernetes. Proficient in deploying scalable AI models, optimizing performance for real-time inference, and implementing end-to-end pipelines for machine learning solutions.
Diverse Industry and Academic Background
Served as an AI/CV Engineer at Matdun Labs and Assistant Professor at BVRITH College of Engineering. Demonstrated expertise in teaching and guiding projects in Machine Learning and Computer Vision, applying research acumen to develop innovative solutions in academic and professional domains.
Education and Research Excellence
Holds a Ph.D. in Video Processing and degrees in Computer Science and Engineering. Authored over 30 research papers with 250+ citations, earning accolades such as the “Young Scientist Award” and “University XIV Rank” from Anna University.
Innovative Project Contributions
Delivered impactful projects such as YOLO model training pipelines, real-time computer vision applications, and 3D face recognition algorithms. Adept at using technologies like Azure, NVIDIA DeepStream, and Triton for cloud-based and edge deployments.
Strong Technical and Interpersonal Skills
Expertise spans Python programming, cloud services, ML workflows, and CI/CD pipelines. A quick learner with excellent problem-solving, communication, and collaborative skills, ensuring seamless project execution in dynamic environments.
