ML Engineer at Resana, specializing in computer vision algorithms, integrating NLP and multimodal techniques for enhanced performance. My responsibilities are:- Development and implementation of cutting-edge computer vision algorithms and solutions for a wide range of applications such as image processing, object detection, video analysis, and action detection.- Developing cutting-edge natural language processing models for text classification, sentiment analysis, and machine translation using techniques like BERT and GPT-3 to enhance model performance and accuracy.- Apply advanced image segmentation techniques to partition images into meaningful regions, enabling robust applications like semantic segmentation and instance segmentation.- Implementing and utilizing video analysis algorithms, including tracking, activity recognition, and action detection, leveraging motion analysis and temporal modeling to extract valuable insights from video data.- Implementing innovative fusion techniques to effectively combine text and image modalities for multimodal sentiment analysis, exploring attention mechanisms and strategies to improve model performance.- Apply generative adversarial networks (GANs) for various computer vision tasks, including image generation, data augmentation, and domain adaptation.- Implement diffusion algorithms for image and video enhancement, denoising, and inpainting, resulting in improved quality and visual fidelity.- Explore and implement zero-shot learning techniques, expanding the capabilities of computer vision systems to recognize objects or concepts not seen during training.- Stay up-to-date with the latest advancements in computer vision, machine learning, and deep learning research, actively contributing to the company's knowledge base and driving innovation.

Probability and statistics TA

Computer Architecture Teacher Assistant

Computer Network 1 teaching assistant

Working as a Geometry teaching assistant and guiding University Entrance Exam applicants.