Teams at Technoidentity

Build, deploy, and maintain AI/ML and generative AI solutions and platforms. Create CI/CD pipelines, containerized workloads (Docker/Kubernetes), and IaC (Terraform). Support cloud deployments (AWS/Azure/GCP), observability (Prometheus/Grafana), and MLOps practices while collaborating with engineering teams for reliability, performance, and security.

Lead a pod of data engineers to design, build, and maintain scalable finance and non-finance data pipelines. Own roadmap, backlog, sprint planning, and delivery milestones; ensure pipeline reliability, data quality, and architecture alignment (including migration to Data Morph). Partner with finance stakeholders, triage failures, and drive AI-driven POCs for data quality and pipeline automation.

Lead end-to-end delivery for multiple Data & AI projects, ensuring on-time, within-budget releases. Drive planning, risk mitigation, quality metrics, customer governance (WSR/MBR/QBR), delivery standards, and build a high-performing team of 15–18 engineers through mentoring, upskilling, and performance management. Participate in technical discussions and translate between business and engineering.