kalyan dahake
@kalyandahake
MLOps and AI infrastructure engineer delivering secure, scalable ML systems.
What I'm looking for
I am an MLOps and AI Infrastructure Engineer with 3+ years building secure, compliant, cloud-native ML pipelines and deployments for high-reliability environments, including financial-grade applications.
I have designed and implemented automated MLOps pipelines using MLflow, CI/CD, and model versioning to enable audit-ready, governed deployments, and engineered Agentic LLMOps and RAG systems with Python and AWS Bedrock for document auditing workflows.
My cloud and Kubernetes work includes provisioning AWS ML infrastructure with Terraform, hardening clusters (RBAC, PodSecurity, Trivy, Kube-bench), and scaling inference on EKS with Docker and HPA to improve reliability and reduce deployment overhead.
I build production model serving and observability stacks—FastAPI/MLflow servers, Prometheus and Grafana dashboards—for latency, drift and API health monitoring, and I hold an AWS Machine Learning Specialty certification.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
Amantya Technologies, Inc
Aug 2022 - Present (3 years 6 months)
Built secure, compliant MLOps pipelines and cloud-native model deployment systems for fintech workloads, improving inference reliability by 50% and reducing deployment overhead by 60%. Architected Agentic RAG/LLMOps pipelines and automated AWS/Kubernetes infrastructure with Terraform to meet BFSI governance.
Education
Degrees, certifications, and relevant coursework
Priyadarshini JL College of Engineering
Bachelor of Computer Science Engineering, Computer Science Engineering
2018 - 2022
Completed a Bachelor of Computer Science Engineering focusing on core CS subjects and practical engineering projects from 2018 to 2022.
Availability
Location
Authorized to work in
Job categories
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