Rajesh Kannan L

Lead the planning, execution, and delivery of knowledge graph projects, ensuring alignment with business objectives and stakeholder needs. Develop and manage project timelines, milestones, and resources. Coordinate with internal teams (data scientists, engineers, business analysts) and external vendors. Manage stakeholder expectations and oversee the design, development, and continuous optimization of knowledge graphs.

Managed critical PM concepts including activity plans, milestones, and risk/issue tracking. Actively involved in pre-sales activities (effort estimation, proposal development). Developed custom data models and algorithms, analyzed large amounts of information to discover trends, and built predictive models and machine-learning algorithms. Managed project teams, including both internal and external resources.

Designed and developed Prognostics use case Models for OEM Commercial Vehicles platform. Provided a Predictive Diagnostics Dashboard for validation purposes. Consulted on data collection methods and performed performance comparison and evaluation of ML models.

Designed scalable AWS infrastructures using Infrastructure as Code (IaC) templates (CloudFormation and Terraform). Implemented best practices by configuring IAM policies, Security Groups, and VPC peering. Configured and maintained cloud services including EC2, S3, RDS, and Lambda. Utilized AWS CI/CD toolset and managed Docker containers for application deployment.