Open for Q4 engagements

Harshavardhanan Aranga đź‘‹

Principal Consultant & Fractional Architect

15+ yrs designing & shipping distributed systems Principal Architect (ex-Verizon, enterprise-scale) Reliability · Latency · Cloud Cost
I design the architecture, ship the first production slice, then grow it feature-by-feature with clear roadmaps and timelines. Reliability/SRE and performance come baked in—not bolted on.

What I Offer

Pick the path that fits where you are.

Architecture Strategy Sprint (2–3 weeks)

Choose the right shape and path

What To Expect
  • âś“ Map domains, seams, high-leverage boundaries
  • âś“ Decisions & trade-offs captured as ADRs
  • âś“ Phased roadmap to first slices with risks/staffing
For Who

For leaders kicking off a new platform/product or re-arch that needs crisp direction.

First Slice Build (4–6 weeks)

Ship a production-ready slice fast

What To Expect
  • âś“ Define service/API contracts + reference impl (1–2 services/UI)
  • âś“ Bake in CI/CD, rollout playbooks, guardrails
  • âś“ Pair and handover so your team can replicate
For Who

For teams that need new capability or a safe modernization path—no big-bang rewrite.

Feasibility & Tech Discovery (1–2 weeks)

Go/No-Go with a working spike

What To Expect
  • âś“ Prototype the riskiest path (LLM/graph/streaming/edge)
  • âś“ Model latency & cost; outline integration plan
  • âś“ Decision doc with assumptions, risks, next steps
For Who

For product/CTO exploring new tech or vendors and needing a fast, grounded answer.

Solving Hard Problems (1–2 weeks)

Unblock a critical constraint with a concrete path

What To Expect
  • âś“ Kickoff call (45–60 min) to surface constraints and blockers
  • âś“ Design & spike 1–2 approaches with trade-offs
  • âś“ Deliver a short solution brief + first three moves playbook
For Who

For teams stuck on gnarly issues where existing approaches stall.

Reliability & Cost Audit (2–3 weeks)

Stabilize p95/p99 and spend

What To Expect
  • âś“ Draft SLI/SLOs + error-budget model
  • âś“ Map bottlenecks across perf/infra/data paths
  • âś“ Prioritize 6 fixes with effort/impact & rollout order
For Who

For teams firefighting incidents or running hot cloud bills.

Observability & SLO Lift (2–4 weeks)

Catch issues early, trust alerts

What To Expect
  • âś“ Establish tracing/metrics baseline (golden signals)
  • âś“ Ship dashboards for p95, saturation, backlog, budgets
  • âś“ Align alert policy with on-call reality
For Who

For orgs with logs everywhere but no signal (“we don’t trust alerts”).

Migration Blueprint (3–5 weeks)

Chart a safe path to modern

What To Expect
  • âś“ Inventory domains, dependencies, critical paths
  • âś“ Define migration waves with sequencing & rollback
  • âś“ Model risks (data, downtime, team bandwidth)
For Who

For orgs that know they must modernize but need a practical step-by-step plan.

Fractional Principal Architect (Advisory Retainer)

A senior partner on key decisions

What To Expect
  • âś“ Run weekly architecture clinics & design reviews
  • âś“ Co-author ADRs/RFCs; pair with leads
  • âś“ Set guardrails for scale, reliability, cost
For Who

For teams wanting steady senior design guidance without a full-time hire.

Client & Leader Testimonials

Endorsements from leaders I’ve partnered with

Our insurance platform was plagued with outages from product bugs. He worked with support teams, scripted around the limitations, and gave us smooth flows again. As the middleware link between 14 teams, he kept everything tied together.

SV
Samir V.
VP Engineering · Insurance Provider (APAC)
Middleware Stabilization Outages reduced; smooth flows restored Personal view; not on behalf of employer.

Provisioning used to take a week. He brought it down to three hours—the hard limit of our hardware. He also built an error-handling framework that raised tickets with the right data and routed them directly to the right teams. Saved us enormous time in analysis.

BP
Ben P.
Director of Systems · Heavy Equipment Manufacturer (Global OEM)
Provisioning Automation Provisioning 1 week → 3 hours; faster triage Personal view; not on behalf of employer.

Our citizen grievance system was reactive and frustrating. He automated mails, follow-ups, escalations—all without citizens needing to chase. The result was faster resolutions and a visible lift in our city’s happiness index.

A
Anonymized
Head of Digital · Government Services (AU)
Citizen Service Automation Faster resolutions; higher satisfaction Personal view; not on behalf of employer.

In logistics and transportation, we had integration pain nobody could untangle. He redefined the boundaries, cut duplication, and onboarding new partners went from weeks to days.

A
Anonymized
CTO · Logistics & Transportation Firm (US)
Integration Redesign Partner onboarding: weeks → days Personal view; not on behalf of employer.

Telecom data was a mess. Multiple sources, conflicting truths, and money leaking away. He analyzed both software and human bottlenecks, then introduced reconciliation patterns for both. For the first time, we trusted our own data.

DF
Dave F.
Enterprise Architect · Tier-1 Telecom (US)
Data Reconciliation Data trust restored; leakage reduced Personal view; not on behalf of employer.

He brought calm structure into chaos. Meetings were shorter, decisions clearer, and teams walked out knowing what to do.

SK
Satish K.
Founder & CTO · B2B SaaS (Global)
Fractional Architecture Personal view; not on behalf of employer.

Selected Case Studies

Real engagements. Clear outcomes. Three flagship snapshots below.
The full library has more.

Work Experience

  1. Principal Consultant (Independent)

    Pragmatic by Harsh

    I design, code, and ship distributed systems end to end. As a Fractional Principal Architect, I audit what exists, define clear boundaries and event contracts, deliver the first production slice, and hand over with guardrails.

    • Architecture → Build → Deploy: boundaries, contracts, reference slice, CI/CD playbooks
    • Reliability & Cost audits (2–3 weeks): SLIs/SLOs, cost drivers, stop/keep/start plan
    • Modernization blueprints: monolith → event-driven with phased cutovers
    • Observability/SRE first mile: OpenTelemetry, metrics/traces/logs, incident workflows
  2. Principal Architect

    Verizon

    Directed large-scale automation by blending distributed design, graph intelligence, and AI-assisted workflows across the network stack.

    • Built multi-layer ingestion/validation feeding a Neo4j-powered unified network graph
    • Designed LLM-enabled semantic access to cut manual data mining for ops teams
    • Accelerated modernization with Copilot, TMF API scaffolding, and 42Crunch audits
    • Embedded GenAI-driven quality and data-enrichment pipelines across the lifecycle
    • Automated site builds & real-time inventory correlation for faster incident resolution
  3. Technical Team Lead

    Cognizant

    Led architecture and delivery of Spring Boot microservices for large-scale systems across telecom and logistics.

    • Migrated legacy monoliths to event-driven microservices with Kafka/Redis/MongoDB
    • Modeled domains with DDD to drive modular, loosely coupled services
    • Owned CI/CD on Azure with Jenkins/XLR; acted as Scrum Master & technical anchor
    • Built internal tools for faster onboarding and improved observability
  4. IT Analyst

    Tata Consultancy Services

    Delivered scalable services and middleware for high-throughput apps in telecom and public sector.

    • Integrated legacy systems via Oracle SOA Suite, OSB, and WebLogic
    • Created reusable connectors & monitoring hooks to boost observability and uptime
    • Modernized middleware to REST endpoints aligned with cloud migration
    • Drove deployment automation, environment provisioning, and defect triage
  5. Consultant

    HCL Technologies

    Developed and maintained enterprise middleware across insurance and manufacturing clients.

    • Designed error-handling frameworks and reusable orchestration in Oracle SOA/OSB
    • Set up CI/CD pipelines and standardized multi-env provisioning for rollouts
    • Built monitoring tools for SOA domains/queues to reduce MTTR
    • Coordinated handovers ensuring SLA adherence and scalable integration rollouts

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