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Case Studies

Deep-dive technical implementations with quantified business impact, live metrics, and evidence from production systems.

Portfolio Overview

2

Case Studies

$63k

Total Value

90.5

Avg Impact

32h

Total Work

13.1x

Avg ROI

Case Study Categories
0
Infrastructure
1
Optimization
1
Feature

Metrics updated from live production systems and GitHub repositories

Featured Case Studies

Featured
optimization
vLLM Cost Optimization: 60% GPU Cost Reduction
92/100
$45k
18h
8min read

Implemented dynamic batching and model quantization achieving $45k/month GPU cost savings while improving performance

Tech Stack

Python
vLLM
CUDA
AWQ
+4

Key Outcomes

  • 60% GPU cost reduction ($45k/month savings)
  • 92/100 impact score with quantified performance gains
  • 25% faster inference speed with optimized batching
  • +1 more outcomes
Featured
feature
RAG System: 99.5% Accuracy with Vector Optimization
89/100
$18k
14h
15min read

Enhanced RAG retrieval with semantic chunking and reranking achieving 99.5% accuracy in document retrieval

Tech Stack

Python
LangChain
Pinecone
OpenAI
+3

Key Outcomes

  • 99.5% retrieval accuracy vs 87.2% baseline
  • 35% performance improvement in response time
  • $18k business value through automation
  • +1 more outcomes

All Case Studies

All (2)
infrastructure
optimization
feature
Featured
optimization
vLLM Cost Optimization: 60% GPU Cost Reduction
92/100
$45k
18h
8min read

Implemented dynamic batching and model quantization achieving $45k/month GPU cost savings while improving performance

Tech Stack

Python
vLLM
CUDA
AWQ
+4

Key Outcomes

  • 60% GPU cost reduction ($45k/month savings)
  • 92/100 impact score with quantified performance gains
  • 25% faster inference speed with optimized batching
  • +1 more outcomes
Featured
feature
RAG System: 99.5% Accuracy with Vector Optimization
89/100
$18k
14h
15min read

Enhanced RAG retrieval with semantic chunking and reranking achieving 99.5% accuracy in document retrieval

Tech Stack

Python
LangChain
Pinecone
OpenAI
+3

Key Outcomes

  • 99.5% retrieval accuracy vs 87.2% baseline
  • 35% performance improvement in response time
  • $18k business value through automation
  • +1 more outcomes
Interested in Similar Results?

These case studies represent real implementations with measurable business impact. Let's discuss how similar approaches can benefit your organization.