AI Infrastructure & Systems Engineer specializing in sub-15ms vectorized query execution, high-performance Go microservices, Kubernetes container orchestration, Terraform IaC, and production model serving.
Production-proven backend architectures designed to handle intensive AI workloads and data scale.
Selected production systems, high-throughput APIs, container orchestration, and deep neural inference pipelines.
High-performance Go RESTful API & Embedded Analytics Engine serving 1,045,426 voter records and 1,513 polling booths with query latency strictly under 15ms. Deployed on Google Cloud Run with custom domain voter.sameerbanchhor.com.
Enterprise-grade container orchestration platform engineered with Terraform (IaC) and ArgoCD GitOps for zero-downtime deployments across AWS EKS and Google Cloud GKE. Features auto-scaling HPA, NGINX Ingress, Cert-Manager TLS, and unified Prometheus/Grafana metric observability.
High-throughput data engineering pipeline designed for processing 248,539 academic records with concurrent multi-target inference.
End-to-end neural audio synthesis pipeline and model serving framework for Chhattisgarhi dialect (serving 18M+ native speakers).
Technologies and tools used to build robust, scalable production systems.
Educational qualifications and professional certificates.