I am a passionate and results-driven Junior Software Developer with over 2.5 years of experience specializing in machine learning, software development, and R&D. Skilled in designing, deploying, and optimizing ML models for production, I have successfully contributed to enhancing real-time tracking systems, increasing performance by up to 40%.My expertise includes:Machine Learning: Developing and optimizing models using TensorFlow, PyTorch, TensorRT, and ONNX.Model Deployment: Containerizing and deploying ML models in production using Docker.Cloud Platforms: Leveraging AWS and exploring Azure for scalable solutions.Software Development: Proficient in Python, SQL, and multithreading, with experience optimizing performance for resource-intensive systems.DevOps Practices: actively CI/CD pipelines, automated testing, and repository management with Git, Bitbucket, and GitHub.I thrive in collaborative environments, contributing to cross-functional teams to drive innovation and deliver high-quality solutions. With a critical problem-solving mindset, I enjoy tackling challenges to improve efficiency and scalability in projects.Currently, I am advancing my skills in CI/CD pipelines and Jenkins integration to further streamline ML workflows and deployments.I’m open to connecting with like-minded professionals to share insights and collaborate on cutting-edge projects. Let’s connect and grow together!