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AlgoCoder
Infrastructure engineering company · Pakistan / United States

Production infrastructure.
Not pilots.

Enterprise-grade engineering across blockchain, cloud, data, and AI — for teams that need systems shipped to production, not slideware. Trusted by a Euronext-listed enterprise client.

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Production proof.

— Notable production credentials
◇01 / Blockchain & Metaverse
0+

NFTs minted on-chain across the named NFT collections — engineered alongside multi-chain wallets, smart contracts, a fully operational casino metaverse for the ICICB-managed Atari ecosystem, six metaverse environments for a Euronext-listed enterprise, a private EVM chain with public block explorer, and crypto exchange infrastructure.

○02 / DevOps & Kubernetes
AWS · GCP · Cloudflare

Production Kubernetes engineered for the ICICB-managed Atari ecosystem and ICICB direct — wallet backends, portal systems, blockchain nodes. Cloudflare-native edge for the Clust GPU cloud platform — Workers, Zero Trust, DDoS protection, DNS routing, load balancing.

▲03 / Data Engineering
Clust GPU Cloud

End-to-end data infrastructure for the Clust GPU cloud platform — high-volume real-time ingestion, ETL orchestration, schema validation, data quality checks, and LLMs embedded directly inside production data pipelines for classification, semantic enrichment, and anomaly detection at platform volume.

◆04 / AI & LLM Engineering
Microvest · Clust

Production AI engine on real-time Bitcoin market data and sentiment signals for the Microvest investment platform — paired with full custodian management and BTC transaction infrastructure. Plus LLM-embedded data pipelines for Clust — classification, semantic enrichment, anomaly detection.

Four lanes. One standard.

— 04 Disciplines
01 / Blockchain & Metaversei.

Most blockchain projects never reach mainnet.

Multi-chain wallets, smart contracts, NFT marketplaces, private chains, and live metaverse environments — including a fully operational casino metaverse for the ICICB-managed Atari ecosystem and six environments for a Euronext-listed enterprise. We don't ship demos. We ship systems that hold real users and real transactions.

Talk to a Blockchain Engineer →Wallets · NFT · Metaverse
02 / DevOps & Kubernetesii.

Most teams overpay for cloud they don't understand.

Kubernetes-native infrastructure on AWS and GCP — the production stack engineered for the ICICB-managed Atari ecosystem and for ICICB direct. Cloudflare-native edge for a GPU cloud platform: Workers, Zero Trust, DDoS, DNS routing. Engineers who maintain what they ship.

Book a Free Cloud Audit →EKS · GKE · Cloudflare
03 / Data Engineeringiii.

Most data platforms work in dev. Then production happens.

End-to-end data infrastructure for a GPU cloud platform — high-volume real-time ingestion, ETL orchestration, schema validation, data quality checks, plus LLMs embedded inside production pipelines for classification, semantic enrichment, and anomaly detection at platform volume.

Talk to a Data Architect →Kafka · Airflow · Lakehouse
04 / AI & LLM Engineeringiv.

Most AI projects die in pilot.

Production engineering for an AI Bitcoin investment platform — an AI engine analyzing real-time market data and sentiment signals, with full custodian management and BTC transaction infrastructure. Plus LLM-embedded data pipelines on a GPU cloud platform. The same discipline we apply to blockchain and cloud.

Book an AI Strategy Call →RAG · Fine-tuning · Agents
— How we engineer01 / 04
01

Diagnose the bottleneck.

Most engagements start with a deck. Ours start with a list of what's actually broken in your production stack — and what's keeping it there. We talk to the engineers who carry it, not just the executives who signed the contract. By the end of week one you have a written assessment you can act on whether you hire us or not.

  • 01Production audit. Live system review across infra, data flow, deploy pipelines, and on-call posture — we read your dashboards, your runbooks, your post-mortems.
  • 02Cost & load reality check. Where the cloud bill is actually going, where the platform breaks under traffic that will arrive in the next eighteen months.
  • 03Dependency map. What's load-bearing, what's brittle, what's masking the real problem with retries and timeouts.
  • 04On-call posture. Who carries the system at 3am, what they see when it breaks, and what's keeping them from sleeping.
  • 05Written diagnosis. A document, not a pitch deck. You keep it whether we work together or not.
Phase / Discovery
02

Architect for what's coming.

Constraints are oxygen. Performance budgets, scope boundaries, security posture — defined before a single line of code, and re-checked at every phase. The hardest design decisions are about what to leave out: every component you don't ship is one you don't operate, debug, or pay the cloud bill for. We architect for the system you'll need in eighteen months, not the wishlist you have in eighteen weeks.

  • 01Performance budget. Latency, throughput, and cost ceilings agreed before architecture is locked. The math has to work at peak load.
  • 02Security posture. Threat model, IAM boundaries, secret management, audit trail — designed in from the first diagram, not bolted on after the first audit.
  • 03Failure modes mapped. Where it breaks first, how it degrades, what humans see when it does — and what the system does on its own to keep going.
  • 04Cost ceiling architected in. Cloud spend modelled at peak load before we commit. If the math doesn't work, the architecture changes — not the budget.
  • 05Scope boundary. Written, signed, immutable until both sides agree to renegotiate. Scope creep is the most expensive thing in software.
Phase / Architecture
03

Ship in production cadence.

Weekly demos. Real environments. No staging-only victories. Trust gets built through shown work, not through status reports — you see the system every Friday, running, breaking, recovering, and that visibility is the only way you get to make informed calls about what ships next. The work earns trust by being visible from day one and by failing in the right places, early, where failure is cheap.

  • 01Weekly production demos. On real environments, against real data — no staging-only theatre, no slide decks instead of running systems.
  • 02GitOps from day one. ArgoCD or Flux, signed commits, reproducible deploys, full audit trail of who changed what and when.
  • 03Observability before features. Metrics, traces, and logs wired in before the second feature ships — so when something breaks, you can find it.
  • 04Tests that match production. Load tests at real volumes, fixtures that mirror the messy data your platform will actually see — not toy datasets that pass green and lie.
  • 05Cheap failure. Bugs surfaced in CI and chaos tests, not by users at peak load on a Friday afternoon.
Phase / Build
04

Operate, don't hand off.

Launch isn't a finish line. We stay through the second release, the first incident, and the first scale event. We don't write code we wouldn't be willing to operate ourselves at 3am. The handover ends when your team has handled a real incident on their own — not when the contract clock runs out.

  • 01Incident response stays with us. Through the first incident, the first scale event, and the second release — the moments where most engagements quietly evaporate.
  • 02Runbooks written by the people who built it. Not a separate "ops handover" document nobody reads. The instructions are written by whoever wrote the code.
  • 03Observability that works for humans. Dashboards designed for the on-call engineer at 3am, not the executive in a quarterly review.
  • 04FinOps review. Quarterly cost audits — what you're paying for, what's actually load-bearing, what can be turned off.
  • 05Knowledge transfer with teeth. Your team operates the system without us before we step back. Success is measured by your engineers no longer needing us.
Phase / Operate
— Why we exist/ no.05

Weengineerinfrastructurethewayithastobeengineeredtoactuallyruninproduction—designedslowly,stress-testedearly,rewrittenuntileverylayerholdsitsshapeunderrealload.Theworkisnotmeasuredinpilotsdemoedorfeaturesstacked,butinthequietcertaintythatwhatweshipwillstillberunning,andstillearningitskeep,longafterthelaunchannouncementisforgotten.

— Production infrastructure. Not pilots.Read the case studies →

Production clients & stack.

— Twelve years engineering production infrastructure · representative clients shown
Crypto Blockchain Industries
Atari
ICICB
Clust
Microvest
NUCoin
BitNautic
Engro
PAC Kamra
Crypto Blockchain Industries
Atari
ICICB
Clust
Microvest
NUCoin
BitNautic
Engro
PAC Kamra
Solidity
Rust
Python
TypeScript
Go
Kubernetes
Terraform
Cloudflare Workers
Apache Kafka
Apache Airflow
Snowflake
Databricks
LangChain
Pinecone
React
Next.js
PostgreSQL
Prometheus
ArgoCD
OpenTelemetry
Solidity
Rust
Python
TypeScript
Go
Kubernetes
Terraform
Cloudflare Workers
Apache Kafka
Apache Airflow
Snowflake
Databricks
LangChain
Pinecone
React
Next.js
PostgreSQL
Prometheus
ArgoCD
OpenTelemetry
— Let's begin

Building something that
has to ship to production?

We work with a small number of teams each quarter. Tell us what you're building and the bottleneck you need engineered out.

Talk to an Engineer →