Multimodal content production.

Foundation Model Machine Learning System

Foundation Model Machine Learning System

* Addressing exciting challenges at the intersection of data science and cutting-edge infrastructure. * Building a cloud service for data scientists, machine learning engineers, and software engineers to help them every step of the way in their machine learning development and deployment lifecycle. * Build cloud service on top of the modern Infrastructure as a Service (IaaS) building blocks at OCI* Design and build distributed, scalable, fault tolerant software systems* Participate in the entire software lifecycle – development, testing, CI and production operations* Balance between product feature development and production operational concerns like writing runbooks, ops automation, structured logging, instrumentation for metrics and events* Leverage plethora of internal tooling at OCI to develop, build, deploy and troubleshoot software* Participate in on-call for the service with the team

Working closely with clients and partners to understand real-world problems and solve them with code. Build and architect solutions that address these business challenges through technology.- Managed 10+ customer integration projects and provided technical expertise during the project lifecycle- Architected and deployed 20+ secure robust private systems for customers on cloud including Amazon Web Service(AWS), Microsoft Azure and Google Cloud Platform(GCP) or on-premises.- Developed Python/Bash scripts to automate cloud provisioning, configuration management, application deployment, intra-service orchestration, and many other IT needs using Ansible.- Performed technical diagnostics, root cause analysis, and issue mitigation on Moxtra API and SDK integrations- Launched user engagement platforms embeddable into customers existing workflows to enhance omnichannel client engagement using Java EE.DevOps:- Deploy, configure and maintain systems, including software installation, update, and core services.- Use essential tools for handling files, directories, command-line environments, and documentation.- Create and configure file systems and file system attributes, such as permissions, encryption, access control lists, and network file systems. - Manage security, including firewall and SELinux configuration.- Install networking services, including HTTP/HTTPS, network file system (NFS), Simple Mail Transfer Protocol (SMTP), secure shell (SSH) and Network Time Protocol (NTP).Cloud Architect:- Architect and deploy secure and robust applications on cloud technologies including Amazon Web Service(AWS), Microsoft Azure and Google Cloud Platform(GCP).- Design and build private cloud architecture, including VM, Virtual Network, Load Balancer, Relational Database, etc, on AWS/Azure for Moxtra server integrating with partner's backend.

Amazon Video DataLabCreated a command line tool using Java which can generate user-defined customer behavior events and publish test events to AWS Kinesis stream without accessing the service code.Designed and developed an automatic integration test framework using Java as part of the Amazon Video data pipeline including event content test and buffering test to ensure reliability.