As an AI/ML Developer and Sr. Dev Ops Engineer, I excel not only in development of machine learning/AI solutions but also in math modeling, algorithm design, comprehensive systems design and automation. My skill set encompasses data collection & analytics, ML algorithms and engineering, CLI tools and visualization dashboards, and model training.I'm also adept at infrastructure as code solutions (IaC), scripting, and deploying scalable solutions via Kubernetes and Terraform across various cloud service providers (CSPs) like AWS, GCP, and Azure. My proficiency extends to robust version control and DNS management. I specialize in leveraging cutting-edge technologies such as new open source AI models, machine learning algorithms, and automation to solve problems, drive innovation and efficiency. I'm experienced in developing pipelines, workflows for large language models (LLMs), transformers, and vector databases, as well as crafting multi-modal AI solutions.My experience is underpinned by a strong foundation in a wide array of technologies and platforms, including Conda, Nvidia, CUDA, Tensor Flow, PyTorch, IAC, Service Mesh Technologies, OpenCV, AWS, Azure, IaaS, PaaS, SaaS, Jira, Confluence, Git, SVN, Terraform, Terragrunt, Hashicorp's Vault & Consul, Puppet, Chef, Ansible, OpsView, Pingdom, RabbitMQ, Xen, KVM, SQL, Nginx, Jenkins, Selenium, Docker, Kubernetes, EKS, ECS, ECR, cloudformation, cloudwatch, Kafka, CI/CD, Jupyter, and Flask. This diverse technological expertise, combined with a passion for innovation and efficiency, makes me a valuable asset in any challenging and dynamic work environment.My educational background is Math, Physics, Engineering, & Computer Science, all of which combine to provide me with the ability to tackle, with confidence, any new territory and come up with solutions to problems and challenges.