Skip to content
AlgoCoder
Production Work

Most case studies are either anonymized into uselessness or a logo grid with no engineering substance.

Featured engagements cover four engineering lanes across more than a decade of verified and confidential production work. — anchored on a Euronext-listed enterprise, a regulated AI Bitcoin platform, a GPU cloud platform, and the ICICB-managed Atari blockchain ecosystem. Engineering Notes cover the wider portfolio with industry context, real architectural decisions, and the trade-offs that mattered — without inventing metrics or borrowing names.

Two Tiers · One Standard

How this page is organized.

Featured Case Studies

Twelve long-form cases. Architecture, trade-offs, and what's still running today. The depth, not the breadth, of more than a decade of delivery.

Engineering Notes

Industry-context cases drawn from the wider portfolio. Anonymized by client agreement. Same engineering substance as Featured — real architectural decisions, recurring patterns, the lesson that survived production. Filterable by lane.

More Than A Decade Of Delivery

The cases above are representative of the depth, not the breadth, of more than a decade of delivery.

The named clients here are a sample of a wider portfolio held under non-disclosure. The Engineering Notes below cover what we can describe of that wider portfolio — anonymized, with industry context, with the engineering substance intact.

Engineering Notes · Anonymized · Industry Context

The recurring patterns — and what we did about them.

Real architectural decisions, recurring patterns, and the lesson that survived production — drawn from engagements held under client confidentiality. Same engineering substance as Featured, with the client identity protected by agreement.

Blockchain & MetaverseMulti-chain wallet architecture

Multi-Chain Wallet Backend Rebuild for a Token Ecosystem

The wallet supported six chains. Five of them broke under real load.

Read Engineering Note →
Blockchain & MetaverseSmart contract security

Smart Contract Security Hardening for a DeFi Protocol Approaching Mainnet

The audit was scheduled. The protocol's leadership wanted the contracts to be ready for it, not exposed by it.

Read Engineering Note →
Blockchain & Metaverse · with DevOps crossoverPrivate chain operations

Private EVM Chain Operational Buildout for a Financial Services Platform

The chain was launched. Operating it without incidents was a separate engineering problem.

Read Engineering Note →
Blockchain & MetaverseIn-product NFT marketplaces

Embedded NFT Marketplace Inside a 3D Gaming Environment

The studio had a marketplace. It lived on a separate site. Players were leaving the game to buy and not coming back.

Read Engineering Note →
Blockchain & Metaverse · with AI behavioral systems crossoverBehavioral AI in games

Behavioral AI System for an Open-World Simulation

The world looked alive in the demo. Players who spent twenty hours in it noticed the NPCs always walked the same paths.

Read Engineering Note →
Blockchain & MetaverseMainnet deployment

Mainnet Deployment Engagement for a Protocol That Had Never Been Outside Testnet

The team had built a working DeFi protocol. They had also never deployed anything to mainnet.

Read Engineering Note →
Blockchain & MetaversePolygon vs L1 economics

Chain Selection and Migration for a High-Volume NFT Project

Mainnet gas costs were going to consume the project's economics before the project could prove its model.

Read Engineering Note →
Blockchain & MetaverseMulti-chain wallet architecture (extended)

Cross-Chain Settlement Architecture Without a General-Purpose Bridge

The application needed multi-chain support. The team had decided — correctly — that they didn't want to depend on a general-purpose bridge.

Read Engineering Note →
Blockchain & MetaverseMetaverse performance

Metaverse Performance Optimization for an Environment That Wasn't Holding Its Audience

The environment loaded in nearly a minute. The audience left in five seconds.

Read Engineering Note →
Blockchain & MetaverseSmart contract security (extended)

Upgrade Architecture Remediation for a Live DeFi Protocol

The contracts were upgradeable. The upgrade authority was a single key. The leadership had finally acknowledged the problem.

Read Engineering Note →
Blockchain & MetaverseMainnet deployment (extended)

Tokenomics Implementation Audit for a Pre-Launch Token Project

The whitepaper said one thing. The contract did another. The team didn't yet know.

Read Engineering Note →
Blockchain & MetaverseMulti-chain wallet architecture (extended into UX layer)

Wallet Onboarding Redesign for a Consumer dApp With High Bounce Rate

Users were arriving at the dApp. Most never connected a wallet. The team had built the wrong onboarding flow.

Read Engineering Note →
DevOps & KubernetesCloud cost optimization

Cloud Cost Audit for a Mid-Stage SaaS Platform

The cloud bill grew faster than the user base. The finance team wanted answers nobody on the engineering side could give them.

Read Engineering Note →
DevOps & KubernetesProduction K8s operations

Kubernetes Migration for a Fintech Platform

The platform worked. It worked from a virtual machine. The next stage of growth required something else.

Read Engineering Note →
DevOps & KubernetesGitOps in practice

GitOps Implementation Across a Multi-Environment Engineering Organization

Configuration drift between environments was producing incidents. The team needed a single source of truth they could actually trust.

Read Engineering Note →
DevOps & KubernetesCloudflare-native edge

Cloudflare-Native Edge Architecture for a Latency-Sensitive Web Product

The product's user experience was being capped by the architecture, not the engineering quality.

Read Engineering Note →
DevOps & KubernetesBlockchain node operations

Production Blockchain Node Operation for a Token Ecosystem

The chain worked. Operating it without incidents was a separate engineering problem.

Read Engineering Note →
DevOps & KubernetesSecurity at scale

Cloud Security Posture Remediation for a Healthcare-Adjacent SaaS

The security scan returned hundreds of findings. The engineering team had three engineers and no triage framework.

Read Engineering Note →
DevOps & KubernetesDeployment velocity

CI/CD Pipeline Rebuild for an Engineering Team Whose Deployments Took Hours

The team's competitors were shipping multiple times a day. The team itself was shipping multiple times a week, with each deployment a meaningful operational event.

Read Engineering Note →
DevOps & KubernetesProduction K8s operations

Multi-Cluster Kubernetes for a Platform Spanning Multiple Regions

The platform served customers across continents. A single regional cluster wasn't going to keep doing the job.

Read Engineering Note →
DevOps & KubernetesCloud cost optimization · Production K8s operations crossover

Infrastructure-as-Code Standardization

Five teams had three different ways of provisioning infrastructure. Reviewing changes had become impossible.

Read Engineering Note →
DevOps & KubernetesProduction K8s operations · Security at scale crossover

Observability Stack Build for a Production Platform Without Visibility

Incidents were being diagnosed by reading logs by hand. The team needed to see the system, not parse it.

Read Engineering Note →
DevOps & KubernetesProduction K8s operations

Cluster Autoscaling for a Workload With Bursty Traffic Patterns

Traffic doubled at predictable times. The infrastructure was sized for the peak, idle the rest of the time.

Read Engineering Note →
DevOps & KubernetesProduction K8s operations · Security at scale crossover

Disaster Recovery for a Platform That Hadn't Tested Recovery

The runbook said the platform could recover. Nobody had verified that in practice.

Read Engineering Note →
Data EngineeringETL orchestration

ETL Pipeline Rebuild for a Reporting Layer That Was Always Stale

The overnight job ran for six hours. The data was stale by lunch.

Read Engineering Note →
Data EngineeringSchema validation

Schema Validation Layer for a Platform With Recurring Production Breaks

Source systems were changing schemas without telling the data team. The downstream pipeline broke once a week.

Read Engineering Note →
Data EngineeringReal-time streaming

Real-Time Streaming Pipeline for a Platform Whose "Real-Time" Wasn't Real-Time

The product promised real-time. The pipeline delivered ninety seconds late.

Read Engineering Note →
Data EngineeringData lake to lakehouse

Lakehouse Migration for an Organization Whose Data Lake Had Become a Data Swamp

Years of files, no governance, no schema registry, no idea what was where.

Read Engineering Note →
Data Engineering · with AI/LLM crossoverLLM-embedded pipelines

LLM-Embedded Pipeline for Production Data Enrichment

The team had a working LLM enrichment in development. Putting it in the production data path was a different problem.

Read Engineering Note →
Data EngineeringQuality + observability

Data Quality and Lineage Implementation for a Reporting Layer Nobody Trusted

The dashboards showed numbers. Nobody trusted the numbers. Decisions were being made by gut.

Read Engineering Note →
Data EngineeringWhen NOT to use Snowflake

Warehouse Architecture Decision for a Team Outgrowing Snowflake's Cost Profile

Snowflake had been the right choice. The team's query patterns had moved into a category where it wasn't anymore.

Read Engineering Note →
Data EngineeringETL orchestration (extended)

Change Data Capture Implementation for a Source System That Had Resisted It

The team had been doing nightly snapshots for years. Real-time downstream needs made that untenable.

Read Engineering Note →
Data EngineeringData lake to lakehouse (extended into organizational structure)

Data Mesh Decomposition for a Centralized Data Team That Had Become a Bottleneck

Every product team needed data work. The central data team couldn't service the queue.

Read Engineering Note →
Data EngineeringReal-time streaming (extended)

Streaming Analytics Layer for a Product That Needed to Surface User Behavior in Near Real Time

Product analytics was running on a daily batch. Product decisions needed to happen faster.

Read Engineering Note →
Data EngineeringWhen NOT to use Snowflake (extended into platform choice)

Data Warehouse Migration for a Team Stuck on a Legacy Platform

The legacy warehouse worked. It also cost more than the rest of the data stack combined and the vendor was slow-rolling features the team needed.

Read Engineering Note →
Data EngineeringQuality + observability (extended into discoverability)

Data Catalog Implementation for an Organization Where Nobody Could Find Anything

The data existed. Finding it required asking three people who had been there long enough to remember.

Read Engineering Note →
AI & LLM EngineeringPilot purgatory

Pilot-to-Production Engagement for an Enterprise AI Initiative That Couldn't Ship

The board approved the AI initiative six months ago. The demo was great. Nothing had reached a user.

Read Engineering Note →
AI & LLM EngineeringRAG accuracy

RAG Pipeline Accuracy Remediation for a Knowledge Assistant That Wasn't Working

The assistant returned wrong answers often enough that users had stopped using it.

Read Engineering Note →
AI & LLM EngineeringVector databases at scale

Vector Database Migration for a Search Application Hitting Cost and Latency Limits

The hosted vector database had been the right choice. The application's growth had moved them past it.

Read Engineering Note →
AI & LLM EngineeringPrivacy-first AI

Privacy-First AI Architecture for a Client Whose Data Couldn't Leave Their Environment

The use case was strong. The data couldn't be sent to a hosted model under any circumstances.

Read Engineering Note →
AI & LLM EngineeringLLM hallucination control

Hallucination Control for an LLM-Powered Citation Generator

The model was generating citations to sources that didn't exist. The legal team was not amused.

Read Engineering Note →
AI & LLM Engineering · with DevOps crossoverAI in regulated finance

AI Compliance Architecture for a Regulated Finance Product

The model worked. Surviving regulatory review was the engineering problem nobody had budgeted for.

Read Engineering Note →
AI & LLM EngineeringMLOps + monitoring

Model Observability for a Production LLM System Whose Outputs Were Quietly Degrading

The system was working. The team didn't know that "working" was getting worse week over week.

Read Engineering Note →
AI & LLM EngineeringPilot purgatory (extended into model strategy)

Fine-Tuning Engagement for a Domain-Specific Use Case Where General Models Underperformed

General-purpose models knew the language. They didn't know the domain.

Read Engineering Note →
AI & LLM EngineeringRAG accuracy (extended into prompt engineering)

Prompt Engineering and Evaluation Framework for a Team Iterating on AI Features Without Methodology

The team was changing prompts daily. Nobody could tell whether the changes were helping.

Read Engineering Note →
AI & LLM EngineeringMLOps + monitoring (extended into model strategy)

Multi-Model Routing Architecture for a Team Whose Single-Model Choice Was Capping Capability

One model couldn't be the right answer for every query. The team had been treating it that way.

Read Engineering Note →
AI & LLM EngineeringPilot purgatory (extended into agent architecture)

AI Agent Architecture for a Workflow Automation Use Case That Multi-Step LLM Calls Couldn't Handle

The workflow needed reasoning across multiple tools and sources. Chained prompts weren't getting there.

Read Engineering Note →
AI & LLM EngineeringVector databases at scale (extended into cost engineering)

LLM Application Cost Optimization for a Team Whose AI Bill Had Grown Faster Than Their Revenue

The model worked. The bill broke the unit economics.

Read Engineering Note →
Don't See Your Situation?

Most engagements start with a problem that doesn't fit a published case study — including yours.

A 30-minute call with a senior engineer. No deck. No pitch. Questions about your stack, your stage, and the bottleneck you came here to remove. If we have shipped something close to your problem in a confidential engagement, we say so on the call.

Production Infrastructure. Not Pilots.