You will get We will Design a Secure Enterprise AI & RAG Strategy (Azure/AWS)
Project details
Is your organization blocked from adopting GenAI due to security and data privacy concerns?
Most enterprises are stuck in "Pilot Purgatory." They want to use LLMs (like GPT-4) on their private data but fear hallucinations, data leakage, and compliance breaches.
We are Mach41, a boutique consultancy of AI Data and Enterprise Architects. We specialize in designing Secure RAG (Retrieval-Augmented Generation) architectures for highly regulated industries.
Why trust us?
Enterprise Grade: We don't just build demos. We design scalable, governable platforms that integrate with your existing Identity Management (IAM) and Security protocols.
Data-First Approach: We specialize in Vector Databases (Pinecone, Azure Search) and Data Governance to ensure your private data stays private.
Most enterprises are stuck in "Pilot Purgatory." They want to use LLMs (like GPT-4) on their private data but fear hallucinations, data leakage, and compliance breaches.
We are Mach41, a boutique consultancy of AI Data and Enterprise Architects. We specialize in designing Secure RAG (Retrieval-Augmented Generation) architectures for highly regulated industries.
Why trust us?
Enterprise Grade: We don't just build demos. We design scalable, governable platforms that integrate with your existing Identity Management (IAM) and Security protocols.
Data-First Approach: We specialize in Vector Databases (Pinecone, Azure Search) and Data Governance to ensure your private data stays private.
AI Algorithms
AdaBoost, AlexNet, Convolutional Neural Network, Gated Recurrent Unit, Linear Discriminant Analysis, Long Short-Term Memory Network, Multilayer Perceptron, Regression Analysis, Restricted Boltzmann Machine, Self-Organizing MapAI Applications
AI Chatbot, Sentiment Analysis, Sequence ModelingAI Development Language
PythonAI Tools
Azure OpenAI, Copy.ai, GitHub Copilot, Hugging Face, Microsoft CNTK, NVIDIA AI Platform, Streamlit, TensorFlow, Word2vecAI Models
AlphaCode, ChatGPT, GPT-3, GPT-4, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$450
|
Standard
$1,500
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 2 days | 7 days | 14 days |
Number of Revisions | 2 | 2 | 2 |
AI Model Integration | - | - | - |
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | - | - | - |
Source Code | - | - | - |
About Rimo
Data & AI Solutions Architect | Java & Low-Latency Specialist
High Wycombe, United Kingdom - 5:55 am local time
As a former CTO and Technical Director, I don't just write code; I design systems that reduce costs, improve speed, and drive revenue.
How I Can Help You:
AI & Data Architecture: I design RAG (Retrieval-Augmented Generation) frameworks and Enterprise Data Platforms using Azure OpenAI, Databricks, and Vector Databases. I recently developed an enterprise-grade scalable RAG platform framework.
Legacy Modernization: I specialize in refactoring complex legacy monoliths into Cloud-Native solutions. Currently, I am driving a modernization initiative that achieved a 40% reduction in data footprint (Terabytes) and significant Opex reduction.
High-Performance Systems: Deep expertise in low-latency Java, Multi-threading, and In-Memory Data Grids (Hazelcast, Redis). I have built trading platforms for clients like Nomura, JPMorgan, and CME.
Strategic Leadership: I have led multi-cloud transformations and product strategies, winning industry awards for Data Ops and Innovation.
Technical Stack:
AI/ML: Azure AI, LangChain, RAG, Python, TensorFlow.
Languages: Core Java (Low Latency/Concurrency), Python, Scala.
Data: Hazelcast, Most no sql platforms Kafka, Spark, Databricks, Snowflake.
Cloud: AWS, Azure, GCP, Kubernetes.
Whether you need a fractional Architect to guide your AI strategy or a hands-on expert to optimize your high-throughput system, I bring C-level insight with engineering precision.
Steps for completing your project
After purchasing the project, send requirements so Rimo can start the project.
Delivery time starts when Rimo receives requirements from you.
Rimo works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Risk Assessment
We review your use case and data landscape to identify security risks and technical constraints before any design begins.
Architecture & Vector Design
We design the RAG pipeline—selecting the right Chunking strategy, Embedding models, and Vector Database to ensure accurate retrieval.