Backend & Distributed Systems Consultant

I stabilize high-throughput backend systems that are one bad night from falling over.

Independent consultant helping engineering teams cut incident noise, close ownership gaps in undocumented systems, and move legacy monoliths to cloud-native architecture — without breaking what's already running.

📍 Kolkata, India — Remote / International 🕓 20+ years engineering, 4+ as Principal-level system owner

Engineering leaders under real production pressure

VPs of Engineering, CTOs, and Heads of Platform at companies where a single backend service is business-critical — and the on-call load, ownership gaps, or migration debt around it have become unsustainable.

This service handles a huge volume of traffic and keeps having OOM-related restarts. Alarm fatigue is burning out the on-call team.

We inherited a complex, undocumented system that only one engineer ever understood — and we need the rest of the team productive on it, fast.

We need to move this legacy monolith to a cloud-native, containerized architecture without a big-bang rewrite or downtime.

Direct, hands-on ownership — not a bench of junior consultants

I take personal ownership of the system: diagnosing root causes in JVM/GC behavior, observability noise, and architectural bottlenecks, then fixing the highest-leverage issues first.

You work directly with me end to end — from diagnosis through production — and the team is left able to run the system independently, backed by real documentation and structured knowledge transfer.

  • 1
    DiagnoseRoot-cause analysis of reliability, performance, and architectural issues
  • 2
    StabilizeShip the highest-leverage fixes first — measurable within weeks, not quarters
  • 3
    TransferDocument and hand off so the team owns it going forward, not me

Real numbers, from systems that mattered

~150K
requests/min handled after scaling a metric-ingestion platform
65%
reduction in Sev2 alarm noise (>100 → ~35 active alarms)
50%
codebase reduction in a legacy refactor, zero regressions
10+
engineers ramped to full productivity via solo knowledge transfer
Oracle Cloud Infrastructure

Owned Pulse, a metric-ingestion service handling ~100,000 req/min from hardware scanners and smart NICs; extended it to add ~50,000 req/min of new input, unlocking a deal-critical integration for a major enterprise customer.

Oracle Cloud Infrastructure

Eliminated recurring OOM-induced service restarts through JVM heap analysis and G1GC tuning — zero configuration-related incidents since rollout — while driving a 65% cut in Sev2 alarm noise.

Oracle Cloud Infrastructure

Ran end-to-end knowledge transfer on an undocumented, business-critical codebase, ramping 10+ engineers to full productivity and turning a single-point-of-failure system into a team-owned platform.

Lexmark

Led a ground-up refactor of a legacy product from 5,000 to 2,500 lines (50% reduction), delivering 60–80% performance improvement with zero functional regression.

Lexmark

Designed and built the end-to-end AWS deployment pipeline (dev → stage → prod) using Terraform, standardizing infrastructure provisioning across environments.

20+ years, from product organization to cloud-scale platforms

Independent Engineering Consultant
Self-directed
May 2026 – Present
Backend reliability, distributed systems, and cloud-native migration engagements — plus open-source projects spanning observability stacks, saga-based transaction patterns, and AI-agent tooling.
Principal Software Engineer
Oracle Cloud Infrastructure
Mar 2022 – May 2026
Sole engineering owner of a high-throughput metric-ingestion platform; drove reliability, performance, and team-enablement initiatives from architecture through production.
Lead Software Engineer
Lexmark
Sep 2010 – Sep 2021
Enterprise fleet-management platform: legacy stabilization, large-scale refactors, and end-to-end AWS deployment pipelines across multi-year initiatives.
Technical Architect
Magic Software
May 2007 – Sep 2010
Led architecture and delivery across multiple enterprise client engagements.
Co-founder
IOMachine
Dec 2002 – May 2007
Owned end-to-end engineering and product decisions for an early-stage startup platform.

Scoped, direct, no open-ended retainers

Step 1

Discovery Call

A free 30-minute conversation to understand the problem and whether it's a fit — no pitch, no obligation.

Step 2

Scoped Engagement

Fixed-fee or day-rate, typically 4–12 weeks, with a clearly defined deliverable agreed upfront.

Step 3

Handoff & Ownership

Architecture review, fix plan, or staged migration delivered with documentation — your team owns it going forward.

Currently taking new engagements

Pricing is scoped per engagement based on complexity and duration. Day-rate engagements are available for teams that need focused, time-boxed diagnosis or delivery rather than an open-ended retainer.

$80–120
per hour, scoped by engagement