Hire Shriniwas S. - AI Developer

* Built and deployed localized RAG on Open-source LLM for answering questions related to client’s Documentation and best practices for company employees, saving more than 40% of manual effort. * Deployed Time-Series ML model for crypto price prediction using NLP and sentiment analyzer on news articles on GCP. * Maintaining uptime and mitigating deployment errors in Cloud infrastructure, especially in GCP and AWS. * Automated monthly cost optimization checks for Cloud data services such as BigQuery, Athena, EC2, and VM to alert the team and mitigate redundant costs.

* Built and deployed custom Deep Learning ML models using TensorFlow, Keras, and Python on Vertex AI that predicts propensity to engage and subscribe on a monthly ad campaign for the sales team, increasing sales by 70%. * Deployed AI LLM chatbot using Vertex AI to chat, recommend articles, and summarize articles on the website. * Managed Enterprise Scale databases, and implemented CI/CD pipelines using Azure DevOps, integrating security scans to ensure code quality and security before deployment, maintaining Centre of Excellence standards. * Established robust security measures including encryption, and access control for the US, EMEA, and Asia region, with administrative access restricted to US-based employees for Cloud resources using Azure Active Directory (AAD) and GCP Identity Access Management (IAM). * Implemented OpenAI Service within an existing authentication boundary in Azure, integrating it with Database and Blob Storage for enhanced data management and processing capabilities. * Configured Sentinel for comprehensive logging and compliance monitoring and Built Error Detection and Mitigation Automation for Cloud resources using a trigger in GCP and Azure Deployments. * Managed a multi-tenant deployment architecture, ensuring isolation and security across different deployments within a single Cloud(GCP, Azure) tenant. * Collaborated closely with the teams on automation strategies around deployment, laying the groundwork for future Infrastructure as code (IaC) implementations using Terraform and Azure Resource Manager (ARM) templates.