Nandan Singh Khanotiya

Led on-site integration planning with core banking systems at tier-1 banks using REST APIs and ISO 20022, resolving schema mismatches and enabling production go-live ahead of regulatory deadlines. Designed a multi-tenant risk scoring service on Kubernetes using Go and gRPC, supporting 200+ concurrent clients and reducing p95 latency from 1.8s to 420ms. Built a real-time risk dashboard backend with TimescaleDB and WebSockets for 500+ concurrent traders, improving refresh time from 15s to sub-second during volatility spikes. Developed a GPT-4o + LangChain RAG-based risk investigation assistant over 100K+ transaction and policy records, reducing analyst investigation time by 45%. Implemented event-driven reconciliation workflows with AWS SQS and Lambda for 10M+ daily ledger entries and tuned PostgreSQL clusters for 1B+ risk calculation rows to fix timeout issues and improve throughput by 3.5x. Added canary analysis with Prometheus and Argo Rollouts across 30+ services and created alerting

Led on-site integration planning with core banking systems at tier-1 banks using REST APIs and ISO 20022, resolving schema mismatches and enabling production go-live ahead of regulatory deadlines. Designed a multi-tenant risk scoring service in Kubernetes with Go and gRPC for 200+ concurrent client workloads, improving p95 latency. Built a real-time risk dashboard backend using TimescaleDB and WebSockets for 500+ concurrent traders. Developed a RAG-based risk investigation assistant over 100K+ records, cutting analyst investigation time by 45%. Implemented event-driven reconciliation with AWS SQS/Lambda for 10M+ daily ledger entries and tuned PostgreSQL clusters for large-scale risk calculation workloads. Added canary analysis, automated alerting, and feedback tracking to improve reliability and reduce incidents.

Automated environment bootstrap across 22 client pods using Python CLI tools (Click), reducing onboarding time from 4 days to 6 hours. Packaged bootstrap tooling into a Docker image for consistent developer and SRE setup. Built GitHub Actions CI pipelines that ran 1,400+ Python test jobs per month, reducing flaky test bottlenecks and accelerating release cadence from biweekly to daily. Developed Terraform IaC modules (with Python generators) to provision 400+ AWS resources, eliminating drift and cutting environment spin-up time by 68%. Created a drift detection tool using AWS Config APIs to scan 500+ resources daily and auto-correct drift via Terraform plans. Built a Vault-based secrets rotation service rotating 6K+ credentials across Kubernetes, Lambda, and VMs to remediate hardcoded secret vulnerabilities and pass SOC 2 with zero findings. Implemented backup validation with AWS Backup APIs to verify 80+ snapshots/day and achieve 100% RPO compliance for 12 months.