AI & LLM Engineering
Most AI products demo a model that has never faced a regulator, never held custody, and never reconciled a transaction at 3am. AlgoCoder ships AI into production — the custody systems, the audit trails, the security architecture, and the inference pipelines that make the model a product instead of a notebook.
← All Case StudiesFeatured AI & LLM Engineering work.
MetaCoaster
Most blockchain games script their NPCs. The first 200 hours of play reveal the loop, and the world stops feeling alive.
Multi-year engagement with Crypto Blockchain Industries (CBI), publicly listed on Euronext Growth Paris
Clust — GPU Cloud Platform
Most data platforms work in dev. Real production volume hits, the schemas drift, the LLMs you wired into the pipeline start hallucinating, and the cost curve goes vertical.
Production engineering for Clust — GPU cloud platform
Microvest — AI Bitcoin Investment Platform
Most AI investment products demo a model. They never face a regulator, never hold custody, never reconcile a transaction at 3am, and never ship.
Production engineering for Microvest — AI Bitcoin investment platform
AI & LLM Engineering — recurring patterns.
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.
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.
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.
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.
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.
AI Compliance Architecture for a Regulated Finance Product
The model worked. Surviving regulatory review was the engineering problem nobody had budgeted for.
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.
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.
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.
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.
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.
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.
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