DP
Divyansh ParasharCLOUD & SRE ARCHITECT
EDGE://ACTIVE|99.999% SLA|

Architecting Resilient, High-Yield Cloud Systems & AI Infrastructure.

$role ="Cloud Systems Architect"

Hi, I’m Divyansh Parashar. I specialize in building fault-tolerant distributed architectures, orchestrating Kubernetes at scale, slashing cloud bills by 50%+, and engineering high-throughput AI/LLM inference pipelines.

Explore The Flex Deckdivyansh-term CLIBook Collaboration
99.999%
Uptime SLA Delivered
Multi-region distributed K8s
45ms
Global P99 Latency
Edge-routed CDN & DB pooling
55%
Cloud Spend Reduced
FinOps & automated spot fleet
100M+
Daily Events Handled
Zero data loss Kafka streaming
THE ARCHITECTURE & SRE FLEX DECK

High-Impact Engineering Showcase Carousel

Proven production systems, cost-cutting milestones, and fault-tolerant cloud topologies engineered for enterprise scale.

1 / 4
Cloud FinOps

Hyper-Scale Cloud Cost & FinOps Optimization

$420K/yrNet Infrastructure Savings

"Slashed 55% AWS/GCP bills while scaling throughput 3x"

Engineered an automated Spot/Graviton orchestration system with Karpenter, intelligent EBS lifecycle management, and egress traffic optimization over Cloudflare edge.

Key Architectural Wins:
Dynamic spot instance orchestration with 0 interruptions to stateful workloads
Migrated compute cluster to ARM64/Graviton3 with 28% IPC improvement
Eliminated inter-AZ egress waste using edge-local caching and gRPC connection multiplexing
Tech Stack:AWSKarpenterTerraformKubernetesPrometheusDatadogGo
Discuss This Architecture
topology_sim.v2
LIVE_TELEMETRY
Cloudflare Edge & WAF
Anycast Global Routing (Sub-15ms)
EDGE-OK
Kubernetes EKS / Spot Fleet
Karpenter Autoscaler & Graviton ARM64
OPTIMAL
Distributed DB & PromQL SLI
Zero-Egress Object Storage (R2 / S3)
99.999%
Asset Sync: Cloudflare R2Zero Egress Fees
ARCHITECTURAL OPTIMIZATION BENCHMARKS

Before vs After: Engineering Impact

Real metrics from production infrastructure redesigns, performance tuning, and FinOps overhauls.

Optimization Case:

Distributed Edge Routing & Connection Pooling

88% P99 Latency Reduction
BEFORE (Legacy Baseline)380ms

Legacy Centralized Architecture

• High cross-region latency & cold connections

• Regional single-point-of-failure bottlenecks

AFTER (Optimized Architecture)45ms

Cloudflare Edge + Global DB Pooling

• Sub-15ms edge caching + keep-alive TCP pools

• Active-Active anycast with automated edge failover
INTERACTIVE CLI SANDBOX

divyansh-term v2.4

Directly probe system telemetry, SRE metrics, and architectural decisions.

bash • utf-8
divyansh@edge:~$init --target=divyanshparashar.comNOW
[+] Welcome to divyansh-term v2.4.0 [x86_64-cloudflare-edge]
Type "help" to view available system commands or click the prompt chips below.
Quick Run:
divyansh@edge:~$
TECHNICAL DOMAIN MASTERY

Tech Radar & Core Capabilities

Engineered with deep production rigor across Cloud Infrastructure, SRE Observability, AI Systems, and Distributed Computing.

Cloud & Infrastructure

AWS (EKS, EC2, RDS, S3, IAM, CloudFront, VPC)Expert / Architect

↳Multi-account Landing Zones & Transit Gateways

Google Cloud (GKE, Cloud Run, BigQuery)Advanced

↳Enterprise GKE cluster federation

Cloudflare (Pages, Workers, R2, DNS, WAF)Mastery

↳Zero-trust edge security & static edge acceleration

Terraform & OpenTofu / TerragruntMastery

↳100% Declarative IaC modular blueprints

SRE, Observability & DevOps

Kubernetes (K8s, Helm, Kustomize, CRDs)Mastery

↳Zero-downtime cluster lifecycle & RBAC hardening

GitOps (ArgoCD, FluxCD, GitHub Actions)Production Heavy

↳Automated canary & blue/green deployments

Observability (Prometheus, Grafana, Datadog, Loki, Tempo)Mastery

↳Custom PromQL SLI/SLO dashboards & smart alerting

Chaos Engineering & Reliability (Litmus, Chaos Mesh)Advanced

↳Automated disaster recovery drills

AI, LLMOps & Vector Systems

LLM Inference Engines (vLLM, Ollama, Triton, HuggingFace)Advanced

↳Dynamic batching & multi-GPU memory optimization

Vector Databases (Qdrant, Pinecone, Milvus, pgvector)Production Heavy

↳High-dimensional indexing & hybrid retrieval

Agentic Frameworks & Pipelines (LangChain, LlamaIndex)Advanced

↳Tool-calling autonomous agent orchestrators

FastAPI, Python, PyTorch & RayAdvanced

↳Scalable async microservices

Backend, Systems & Networking

Go (Golang) & High-Concurrency MicroservicesProduction Heavy

↳Goroutine pools, channels, memory tuning

Databases (PostgreSQL, Redis, ClickHouse, CockroachDB)Mastery

↳Connection pooling, partitioning & tuning

Networking (gRPC, Protobuf, REST, WebSockets, Istio Service Mesh)Advanced

↳mTLS encryption & HTTP/2 streaming

Linux Kernel & System Performance (eBPF, sysctl, perf)Advanced

↳TCP stack tuning & process isolation
TRACK RECORD OF IMPACT

Engineering Milestones & Leadership

A chronological breakdown of system ownership, cloud scale, and technical execution.

2023 — PresentEnterprise & High-Scale Systems

Lead Cloud & Systems Architect

Spearheading cloud migration, zero-downtime reliability engineering, and next-gen AI platform architecture.

Spearheaded enterprise infrastructure modernization, delivering 99.999% platform availability across 3 geographic zones.
Engineered an intelligent FinOps autoscaling pipeline, decreasing monthly compute overhead by $35,000+.
Designed production AI inference gateway handling high-throughput semantic search and LLM completion pipelines.
KubernetesAWSGoArgoCDvLLMTerraform
2021 — 2023Cloud Platform & Infrastructure Group

Senior SRE & DevOps Engineer

Owned the core Kubernetes platform, automated CI/CD deployment pipelines, and built global observability stacks.

Re-architected CI/CD workflows, cutting average deployment time from 45 minutes to 4.2 minutes with automated rollbacks.
Established site reliability engineering practices, defining SLI/SLO error budgets and automated incident response runbooks.
Migrated monolith workloads into containerized microservices managed via Istio service mesh with mTLS.
DockerTerraformPrometheusGrafanaGCPPython
2019 — 2021Distributed Systems Tech

Infrastructure & Backend Systems Engineer

Built scalable backend microservices, optimized database queries, and implemented automated infrastructure.

Built event-driven data streaming pipelines processing millions of daily messages with zero message drop.
Tuned PostgreSQL and Redis caching layers, dropping database CPU utilization by 40% under peak loads.
GoPostgreSQLRedisKafkaLinuxAWS
OPEN FOR ARCHITECTURE CONSULTING & HIGH-IMPACT ROLES

Let’s Build Something Resilient & Unstoppable.

Whether you need a high-scale Kubernetes architect, an SRE leader to safeguard 99.999% uptime, FinOps optimization, or next-gen AI inference pipelines — let’s connect.

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