You will get LLM Systems Audit | Diagnose & Fix Production Failures
Project details
Your LLM system works sometimes. Other times it fails spectacularly. You don't know why.
I diagnose exactly where your system breaks. Is it at retrieval? Prompt handling? Schema validation? Output structure? I will give you a prioritized roadmap to fix it.
This is not guesswork. This is a systems-level diagnosis designed to make your AI reliable at scale.
What you get:
• Full pipeline analysis (ingestion, retrieval, processing, output)
• Root cause identification (the real culprits, not surface fixes)
• 5-10 prioritized fixes ranked by impact and effort
• Implementation roadmap with clear next steps
• Code examples and architecture guidance
Perfect if:
• Your AI outputs are inconsistent or failing in production
• You've built extraction/RAG systems that break at scale
• You want expert diagnosis before investing in rebuilds
• You need someone to tell you exactly what's wrong
I diagnose exactly where your system breaks. Is it at retrieval? Prompt handling? Schema validation? Output structure? I will give you a prioritized roadmap to fix it.
This is not guesswork. This is a systems-level diagnosis designed to make your AI reliable at scale.
What you get:
• Full pipeline analysis (ingestion, retrieval, processing, output)
• Root cause identification (the real culprits, not surface fixes)
• 5-10 prioritized fixes ranked by impact and effort
• Implementation roadmap with clear next steps
• Code examples and architecture guidance
Perfect if:
• Your AI outputs are inconsistent or failing in production
• You've built extraction/RAG systems that break at scale
• You want expert diagnosis before investing in rebuilds
• You need someone to tell you exactly what's wrong
Machine Learning Tools
ChatGPT, MLflow, Python, PyTorch, TensorFlowWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,500
|
Advanced
$3,500
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Frequently asked questions
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YM
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They’re talented developers who take ownership, solve problems quickly, and communicate extremely well. If you need a team that can build real products (not just small tasks), they’re the ones to hire. Highly recommended!
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Brendon P.
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Very professional and has a structured approach to app development. His team was able to create a well documented POC for me in just a few days. Everyone involved in the project was very cordial and prompt in communication. Hoping to continue working with Bilal in the future.
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Jack M.
Apr 19, 2024
Fin-Tech AI Company seeking Backend FastAPI Engineer
Bilal is a fantastic developer and able to communicate quickly and effectively to get the job done. His work quality is excellent and he is a pleasure to work with.
About Bilal
LLM Systems Engineer | LLM Pipeline & Data Extraction | RAG Specialist
91%
Job Success
Karachi, Pakistan - 5:06 am local time
I architect solutions. My team executes. You get enterprise-grade delivery backed by a proven agency that designs and ships LLM pipelines that turn unstructured data into structured, reliable systems and hold up under production conditions.
• What I build:
Document ingestion and parsing pipelines
Multi-pass LLM extraction (entities, relationships, structured outputs)
Schema alignment and normalization layers
RAG systems (vector and structured retrieval)
Feedback loops to improve accuracy over time
Production pipelines with retries, logging, and observability
• Recent work:
Legal AI platform: 50k+ documents per month, 98% extraction accuracy, 70% manual review reduction
FastAPI SaaS backend: 200ms p99 latency, 99.2% uptime, real-time structured decisions at scale
Entity extraction system: Automated 80% of manual data entry, $40k annual labor savings
AI SaaS platform: 10k+ daily queries, 98th percentile retrieval latency, full schema flexibility
• This is where I fit:
When your AI outputs aren’t reliable enough to trust
When your schema starts drifting as data scales
When the system works in demos but breaks in production
When you need structure, not just generation
• Stack:
OpenAI, Claude, Gemini, LangChain, LangGraph, Pinecone, Supabase (pgvector)
FastAPI, Node.js, AWS (S3, Lambda, Bedrock, SageMaker)
OCR and structured extraction pipelines
I use these tools to move fast, but the system is always designed around consistency, structure, and reliability.
A 15-minute briefing is all I need, and I'll tell exactly how I can automate your most time-consuming manual tasks.
Steps for completing your project
After purchasing the project, send requirements so Bilal can start the project.
Delivery time starts when Bilal receives requirements from you.
Bilal works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & System Intake
Client provides system overview, architecture, current failures. I schedule kickoff call (if tier 2/3).
Architecture & Pipeline Analysis
I analyze your full pipeline: ingestion, retrieval, processing, schema, output validation.