You will get Multi-Language LLM Content Generation & AI Automation with Local AI Models
Project details
You will get a fully functional, custom-built AI Content Generation Studio that automates your entire social media workflow. What sets my work apart is that I don't just build basic wrappers around ChatGPT—I engineer robust, enterprise-grade architectures using modern tech stacks (React, Next.js, FastAPI, PostgreSQL) and advanced Prompt Engineering.
I can configure your application to use ultra-private, free local LLMs (like Llama 3 via Ollama) or connect to cloud providers like OpenAI and Claude. With deep expertise in full-stack AI development, I ensure the final product is not only beautifully designed but engineered to reliably output structured, highly engaging content in multiple languages. My goal is to completely eliminate the time you spend brainstorming scripts and metadata so you can focus strictly on growing your business.
I can configure your application to use ultra-private, free local LLMs (like Llama 3 via Ollama) or connect to cloud providers like OpenAI and Claude. With deep expertise in full-stack AI development, I ensure the final product is not only beautifully designed but engineered to reliably output structured, highly engaging content in multiple languages. My goal is to completely eliminate the time you spend brainstorming scripts and metadata so you can focus strictly on growing your business.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Content Creation, Conversational AI, Machine Translation, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Hugging FaceAI Models
LLaMAWhat's included
| Service Tiers |
Starter
$35
|
Standard
$75
|
Advanced
$140
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 1 | 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 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20
Additional Revision
+$15Frequently asked questions
About Amakalu
AI/ML Engineer | AI Integration & Intelligent Systems
Kisumu, Kenya - 11:12 am local time
I help startups, founders, and businesses build intelligent software systems powered by AI, machine learning, analytics, and automation.
My focus is on designing and engineering solutions that are scalable, reliable, and aligned with real business goals. Whether you're integrating AI into an existing product, building an intelligent platform from scratch, automating workflows, or developing predictive analytics capabilities, I deliver systems that create measurable value.
I don't just write code.
I engineer intelligent systems.
From AI integrations and model fine-tuning to backend architecture, mobile applications, and analytics platforms, I combine software engineering with practical AI implementation to help teams ship faster, reduce technical risk, and automate critical operations.
## Proven Results
My work has been recognized through multiple first-place hackathon awards:
ImageSearch — Machine learning facial recognition and age progression system for identifying missing children.
1st Place – HealthIT Hackathon**
PROACTED — Education analytics platform with ML-powered student performance prediction.
1st Place – Kenya Inter-University Hackathon**
## Core Expertise
### AI & Machine Learning
* AI-powered application development
* Model fine-tuning and inference optimization
* LLM integration and AI-assisted workflows
* Hugging Face ecosystem and transformer models
* Retrieval-Augmented Generation (RAG)
* Computer Vision and image intelligence
* Natural Language Processing (NLP)
* Predictive analytics and forecasting systems
* Recommendation and decision-support systems
* Intelligent automation solutions
### Software Engineering
* Python application development
* Full-stack web applications
* Android applications with Kotlin and Kotlin Multiplatform
* Desktop application development
* REST APIs and backend services
* Authentication, integrations, and cloud-connected systems
### Systems & Architecture
* Software architecture and system design
* Platform modernization and refactoring
* Performance optimization and reliability engineering
* Dockerized environments and deployment workflows
* Database design and optimization
## Technologies
AI/ML: TensorFlow, PyTorch, Hugging Face, Scikit-learn, OpenCV, Whisper, Google Colab
Backend: Python, Django, Node.js, PHP, REST APIs
Mobile: Kotlin, Kotlin Multiplatform, Java, Android
Frontend: React, HTML, CSS, JavaScript
Infrastructure: Docker, Firebase, Supabase, Linux, OneSignal
## How I Work
1. Understand the business and technical objectives
2. Design a scalable and maintainable solution
3. Build, test, and optimize the system
4. Integrate, deploy, and automate workflows
5. Support continuous improvement and growth
## What Clients Get
* Practical AI solutions that solve real problems
* Intelligent automation that reduces manual effort
* Scalable and maintainable architectures
* Clear communication and predictable delivery
* Engineering-focused problem solving
If you're looking for someone who can bridge AI, machine learning, automation, and software engineering, you're in the right place.
I don't just build features; I build systems that deliver measurable results.
Send me a message, and let's discuss how we can turn your idea into a scalable, production-ready solution.
Steps for completing your project
After purchasing the project, send requirements so Amakalu can start the project.
Delivery time starts when Amakalu receives requirements from you.
Amakalu works on your project following the steps below.
Revisions may occur after the delivery date.
Analyze Requirements
Review the client's workflow, content requirements, target platform, language, tone, and preferred AI model to define the generation architecture.
Design AI Generation Workflow
Design the prompt structure, model integration, request validation, generation parameters, and structured output schema for the required workflow.