nabeel.muneer · LOC DXB 25.20N 55.27E · --:--:-- GST work craft OPEN TO WORK

context.load("nabeel_muneer")

Nabeel Muneer

AI Engineer & Platform Architect. 14+ years building systems that hold under load — and, lately, the scaffolding that lets AI agents ship production code safely. Dubai, UAE.

session — curated context · signal > noise
▸ loading curated context …
identity.md 14 yrs · architect · Dubai
cricingif.story first eng → CTO · 5K→100K conc/min
paynest.ledger 200K+ txns · AED 25M+
starlinks.platform 25–50K orders/day · 99.9% SLA
agentic.craft spec → grill → plan → build → verify
— context loaded · 38.2K tokens · noise removed
READY
GATE 01 — 100K+ concurrent users/min @ 30ms PASS ✓ GATE 02 — 99.9% SLA at 25–50K orders/day PASS ✓ GATE 03 — cloud spend $35K → $5K/season PASS ✓ GATE 04 — AED 25M+ across 200K+ fintech txns PASS ✓ GATE 05 — teams of 30+ across 5 countries PASS ✓ GATE 06 — APICTA 2017 Best Startup, Pakistan PASS ✓

01 active sessions — work in progress

Two systems on the bench,
both past the planning gate.

The repos below are private while in active build — access on request. Each runs the same loop I run with agents in production: spec → grill → plan → implement → verify.

~/agentic-sdlc ● in build

An operating system for AI-assisted delivery. Reusable skills, anti-hallucination handoff tickets, gap registers with revisit triggers, and blocking human-in-the-loop review gates — extracted from real agent-driven production work, packaged so a team can adopt the discipline, not just the tool.

specgrillplanimplementverify
VISIBILITY privateSTACK skills · MCP · CI gatesHITL blocking
~/logistics-platform ● in build

An event-driven reference platform for GCC-scale logistics. Bounded contexts modelled with DDD, CQRS with custom SAGA orchestration, carrier and marketplace adapters, and customs-compliance flows (ZATCA, GCC) — the distilled architecture behind a 3PL/4PL platform doing tens of thousands of orders a day.

specgrillplanimplementverify
VISIBILITY privateSTACK .NET 8 · Azure · eventsSCALE 25–50K/day pattern
~/fde-enterprise-agentic-ai public — read the trail

A 30-minute discipline trail, published in full: charter, ADRs, gap register, spec, anti-hallucination handoff, HITL review log, and a working Claude-powered review app. Small artifact on purpose — the methodology is the point.

open repo

02 shipped at scale — verified in production

Products people actually used.

Live sites and originals fade; the engineering doesn't. Each interface below is a hand-built reconstruction of the product as it shipped — with a link to the live site or its archived snapshot.

SHIP 01 / 2016 → 2021

CricInGif

First engineer → CTO

Ball-by-ball live cricket — scores, clips and highlights, fast enough that fans saw the wicket before the TV replay. Official digital clips partner for the ICC Cricket World Cup 2019. I joined as the first engineer and left as CTO, having rebuilt it for national-scale match days.

5K→100K+concurrent / min
30msp50 latency
$35K→$5Kcloud / season
 cricingif.com/live reconstruction
LIVE SERIES CLIPS STATS LIVE
PAKPakistan 186/4 · 17.3 ov
Babar Azam on strike · needs 22 off 15 · RRR 8.8
14·6W21
Shaheen removes the opener — full, fast, gone
ball 9.2 · auto-clip · 0:14
CSS reconstruction

SHIP 02 / 2021 → 2022

Superfandom

Founding engineering · Rare Sense Inc.

The "OpenSea for fan engagement" — a marketplace where creators sold experience NFTs: one-on-ones, collabs, VIP access. Minted on Stacks and secured by Bitcoin, with creator storefronts and launch rosters spanning Hollywood, Bollywood and K-pop.

BTC-securedvia Stacks smart contracts
0→1marketplace build
3 regionscreator roster at launch
 superfandom.io/storefront archived · 2022
SECURED BY BITCOIN
Creator Storefront
VERIFIED · 12.4K SUPERFANS

1-on-1 video hangout · 30 min
+ signed digital collectible

0.024 BTC CLAIM PASS
Drop
VIP Meetup · 7 left
Drop
Mentor Session · sold out
minted on Stacks · settled on Bitcoin
CSS reconstruction

SHIP 03 / 2022 → 2023

TheUpsideSpace

Platform engineering · launch build

A curator-led digital art marketplace spotlighting artists from Southeast Asia, South Asia and the Middle East. Launched in Dubai, December 2022 — wallet-native for crypto collectors, card-friendly for everyone else, with curated drops instead of an open firehose.

Curator-ledexhibition model
Fiat + cryptodual checkout rails
3 regionsSEA · South Asia · MENA
 theupsidespace.com/exhibitions archived · 2023
Exhibitions Artists Curators
SEA · South Asia · Middle East
CSS reconstruction

03 how I work — human-reviewed

Context is the craft.

Agents amplify whatever you bring them. Bring vague intent and they produce a plausible version of the wrong thing, very efficiently. Bring a clean specification, curated context and a verification loop, and they become a serious force multiplier. I've spent the last years learning that the leverage isn't in clever prompts — it's in everything that surrounds the keystroke.

So I work the same loop whether the implementer is a senior engineer, a graduate, or a coding agent: write the spec, grill it until the hidden assumptions surface, plan before a line is written, implement in bounded steps, and refuse to call anything done until it passes objective gates and a human reads the diff against the original intent.

That discipline came from production, not theory: live cricket where a slow scoreboard is a broken product, fintech where a double-charge is a headline, logistics where a customs rejection has to unwind cleanly across half a dozen services. Systems fail in recognisable shapes. The craft is building the scaffolding that catches them early — for people and for agents alike.

Invest in the scaffolding around the agent, not in clever prompts. The agent is fast at the keyboard. The leverage is everywhere else. — field note, agentic-sdlc
delivery-loop.spec · v3 HITL gate · passed ✓
S-1 SpecTurn intent into behaviour, edge cases, non-goals and acceptance criteria. ✓ locked
S-2 GrillInterview the plan. Surface implicit decisions while they're cheap to change. ✓ locked
S-3 PlanFiles to change, order of operations, tests, definition of done. ✓ locked
S-4 ImplementBounded phases, never open-ended runs across the codebase. ✓ locked
S-5 VerifyTypecheck, tests, structured review — then a human diff against intent. ✓ locked

gaps register — open, with revisit triggers

  • P1 Multi-agent eval harness — revisit at first regression that review misses.
  • P1 Polyglot agent skills beyond .NET/TS — revisit at first cross-stack engagement.
  • P2 Telemetry on suggestion-acceptance rate — revisit once team adoption begins.

04 systems ledger — numbers that survived production

Fourteen years, audited.

100K+concurrent users / min · CricInGif, from a 5K baseline
99.9%SLA at 25–50K orders / day · GCC 3PL/4PL logistics
AED 25M+processed across 200K+ transactions · PayNest fintech
86%cloud cost cut ($35K → $5K / season) via K8s autoscaling
30+engineers led across 5 countries · coached into lead & director roles
01repeat first-engineer on ventures that shipped · APICTA 2017 winner

Runtime

.NET 8TypeScriptNode.jsNestJSNext.jsReact

Cloud & Data

Azure Event HubCosmos DBADX / KQLAKSService BusAWSRedisKubernetes

AI Systems

LangChainPinecone · RAGMCP serversdomain-scoped agentsLLM observabilityAI governance

Patterns

Event-drivenDDDCQRScustom SAGAStrangler FigAvro registrycomposable commerce

05 open a session

Bring me a system
that has to hold.

First engineer, rescue lead, or the architect who makes your AI initiative shippable — I've been hired for all three. Currently open to staff/principal platform & AI engineering roles, UAE or remote.

nabeel@dxb:~$ connect --channel linkedin --topic "your hardest system"