You will get Build Custom AI Integration System with MCP Protocol
Project details
I build high-performance backend systems and REST APIs in Rust that process 1000+ requests/second with sub-10ms latency.
What You Get:
• Production-ready async Rust backend (Actix-web/Axum framework)
• RESTful API with complete OpenAPI documentation
• Database integration with optimized queries and connection pooling
• Authentication & authorization (JWT, OAuth2, API keys)
• Comprehensive test suite (90%+ coverage)
• Docker containerization with CI/CD pipeline
• Performance optimization for high throughput and low latency
• 1 week of post-deployment support
Perfect For:
✓ Startups needing scalable backend infrastructure
✓ Companies migrating from slow Python/Node.js APIs
✓ Real-time systems requiring <10ms response times
✓ High-traffic applications (10K+ req/sec)
✓ Microservices architecture
Tech Stack:
Rust (Actix-web, Axum, Tokio), PostgreSQL/MongoDB, Redis, Docker, AWS/GCP
Typical Timeline: 10-14 days
Typical Budget: $1,500-$5,000
Recent Results:
• ML sentiment API: 1000+ req/sec, 95% accuracy, <5ms latency
• SaaS platform backend: 10K+ req/sec capacity, production-ready
• $22K total project value delivered
Message me with your API requirements.
What You Get:
• Production-ready async Rust backend (Actix-web/Axum framework)
• RESTful API with complete OpenAPI documentation
• Database integration with optimized queries and connection pooling
• Authentication & authorization (JWT, OAuth2, API keys)
• Comprehensive test suite (90%+ coverage)
• Docker containerization with CI/CD pipeline
• Performance optimization for high throughput and low latency
• 1 week of post-deployment support
Perfect For:
✓ Startups needing scalable backend infrastructure
✓ Companies migrating from slow Python/Node.js APIs
✓ Real-time systems requiring <10ms response times
✓ High-traffic applications (10K+ req/sec)
✓ Microservices architecture
Tech Stack:
Rust (Actix-web, Axum, Tokio), PostgreSQL/MongoDB, Redis, Docker, AWS/GCP
Typical Timeline: 10-14 days
Typical Budget: $1,500-$5,000
Recent Results:
• ML sentiment API: 1000+ req/sec, 95% accuracy, <5ms latency
• SaaS platform backend: 10K+ req/sec capacity, production-ready
• $22K total project value delivered
Message me with your API requirements.
AI Algorithms
Autoencoder, Convolutional Neural Network, Feedforward Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Restricted Boltzmann Machine, Transformer Model, Variational AutoencoderAI Applications
AI-Generated Code, AIOps, Conversational AI, Natural Language UnderstandingAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, Microsoft 365 Copilot, PyTorch, TensorFlow, Word2vecAI Models
ChatGPT, GPT-4, LaMDA, LLaMA, OpenAI Codex, Stable DiffusionWhat's included
| Service Tiers |
Starter
$800
|
Standard
$2,000
|
Advanced
$4,500
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 2 | 3 | 5 |
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 |
Frequently asked questions
About Cody
Multi-Platform Application Development Engineer (with ML Expertise)
Mission, Canada - 12:27 pm local time
My track record demonstrates a commitment to delivering exceptional results, combining technical excellence with clear communication and a collaborative spirit. I approach each project with a meticulous eye for detail, ensuring that every line of code is optimized for speed, reliability, and maintainability.
•High-performance systems engineer with expertise in:
•Languages: C, C++, Rust, Python
•Frameworks: TensorFlow, PyTorch
•Graphics: Vulkan, DirectX
•Networking: TCP/IP, UDP
•Databases: PostgreSQL, MongoDB
•Cloud Platforms: AWS, Azure
•Proven track record of delivering efficient, reliable, and scalable software solutions.
•Strong communication and collaboration skills, ensuring seamless integration with your team and project goals.
•Meticulous attention to detail and a passion for exceeding expectations in performance and quality.
•Eager to apply my expertise to your most challenging technical problems.
Steps for completing your project
After purchasing the project, send requirements so Cody can start the project.
Delivery time starts when Cody receives requirements from you.
Cody works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Analysis & API Design (Days 1-2)
Review specifications, design API endpoints and data models, define authentication strategy, establish performance benchmarks, and create technical documentation with OpenAPI specs.
Core Backend Implementation (Days 3-7)
Build async Rust backend using Actix/Axum, implement RESTful endpoints, integrate database with connection pooling, add authentication middleware, and create error handling framework.