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Hey, I'm Hiren Panchani
Solutions Architect — Cloud & Platform Engineering
I live in terminals and think in YAML. I architect multi-region AWS platforms, wrangle Kubernetes clusters at 3 AM, build observability stacks from scratch, and find inner peace optimizing cloud bills. My homelab has more compute than some startups. If it runs on a server, I've probably broken it and fixed it twice.
Technical Arsenal
The tools and technologies I've battle-tested in production — not just "familiar with", but actually deployed, debugged, and scaled.
AWS Cloud
27Containers & Kubernetes
17Infrastructure as Code
8CI/CD & GitOps
8Databases & Data
11Observability
14Networking & Edge
10Security & Compliance
15AI/ML & Agentic
9Programming & Scripting
6Operations & FinOps
9Impact by Numbers
Quantified outcomes from designing, building, and operating production-grade platforms.
Key Achievements
Highlights from designing, building, and operating production infrastructure at scale.
Greenfield Multi-Region AWS Platform
Architected and built a complete multi-region, multi-environment AWS+EKS platform from scratch — 4 isolated VPCs (prod/staging/warmup/shared), hub-and-spoke topology, 4 AZs, secondary DR region with cross-region S3/ECR replication, Aurora Global Database, and Route 53 health-checked failover.
Kubernetes at Scale
Migrated all workloads from ECS Fargate to 5 EKS clusters on Kubernetes 1.36, with IRSA, custom Helm chart library, ArgoCD GitOps for 42 production services. Executed 9 consecutive zero-downtime EKS upgrades from 1.27 through 1.36.
44-Module Terraform Library
Built a reusable Terraform module library of 44 AWS modules used across 4 environments — new services ship in approximately 30 lines of HCL, dramatically accelerating infrastructure provisioning.
Full-Stack Observability from Scratch
Designed and deployed a self-hosted observability stack: kube-prometheus-stack, Loki (S3-backed), Tempo (vParquet4), Grafana with 8 datasources and 40+ dashboards, in-house OTel SDK across Node.js services. Achieved ~20% lower 3-year TCO vs commercial APM.
~$156K/Year Cost Reduction
Led 3 optimization cycles achieving ~30% savings each ($10K→$7K, $13K→$8K, $15K→$10K/mo) via RI/SP strategies, Graviton migration, Spot instances, Aurora I/O-Optimized with Blue/Green deployments, ElastiCache right-sizing, and S3 lifecycle policies — all with zero p99 latency regression.
AI/ML in Production
Built a semantic search POC using Bedrock Titan Embeddings v2 + OpenSearch k-NN (HNSW, 1024-dim, cosine similarity 0.65–0.88) and an AI Incident Investigation Agent that returns root-cause analysis across 5 datasources in under 30 seconds — replacing 30-min to 2-hour manual triage.
Security & Compliance Ownership
Owned platform controls for SOC 2 Type I & II, ISO 27001/27701, and GDPR compliance on Sprinto + Vanta. Deployed VaultWarden, SSOReady (SAML/OIDC), and migrated 30+ engineers from OpenVPN to Tailscale+Headscale zero-trust mesh.
High-Throughput Email Infrastructure
Designed the full Scheduler→Composer→Sender→MTA pipeline powering 6B+ emails/year with an in-house ESP — dedicated IPs, multi-node MTA, automated DKIM/SPF/DMARC, and ClickHouse analytics for deliverability tracking.
Database Modernization at Scale
Led a company-wide MySQL 5.7→8.0 Aurora upgrade with query compatibility verification, Blue/Green cutover, and read-replica validation. Migrated to Graviton (db.r6g) for ~20% better price-performance. Added Aurora PostgreSQL 16 clusters for new services — managing 8 Aurora clusters total.
Bulk Data Ingestion Pipeline
Designed S3→Python decompressor→MongoDB+OpenSearch ingestion for monthly bulk lead/company datasets. Containerized on EKS with IRSA-scoped secrets from S3, handling terabytes of data imports reliably.
Lambda → EKS Worker Migration
Replaced an AWS Lambda + ffmpeg layer with an EKS-based S3→SQS→worker pattern (Node.js + ffmpeg in Docker), shipped via Helm with IRSA. Cut per-job cost while eliminating the 15-minute Lambda timeout ceiling.
Cloud Transformation (5,000+ Users)
Led cloud/DevOps transformation for an institution supporting 5,000+ users — lift-and-shift from Proxmox VMs to AWS, built Jenkins+SonarQube developer platform, deployed Canvas LMS and GitLab CE, and implemented enterprise network security with pfSense/Sophos for the campus network.