Shlok Patel

Background

About Shlok Patel

I am a passionate and results-oriented Software Engineer currently pursuing my Master's in Software Engineering at San Jose State University. With hands-on expertise in designing and building scalable backend systems, cloud-native applications, and AI-driven solutions, I bring proficiency in Python, Java, Golang, and extensive experience with AWS, Azure, and GCP. At Kody Technolab, I successfully developed and optimized RESTful APIs, architected serverless solutions leveraging AWS Lambda, and significantly streamlined CI/CD pipelines using Jenkins and GitHub Actions. My efforts resulted in enhanced data efficiency, reduced deployment cycles, and cost-effective cloud solutions through Kubernetes-based microservices. During my internship at SoftVan, I collaborated closely with cross-functional teams to implement AI and machine learning applications using Flask, Django, TensorFlow, and PyTorch. I also optimized server-side performance through effective caching strategies and contributed actively to Agile practices, ensuring timely and quality delivery of projects. I thrive in dynamic environments and am actively seeking full-time opportunities to leverage my technical skills in software engineering, cloud computing, and AI-driven technologies. I am eager to collaborate with innovative teams to develop impactful and high-performance solutions.