You will get End to End Model Development and Deployment with Automation
Project details
This project demonstrates a full-lifecycle approach to deploying high-impact AI solutions for 10k+ active users, bridging the gap between research experimentation and enterprise-grade reliability. I architected a robust system starting with localized LLM engineering, where I led the fine-tuning of Large Language Models for low-resource languages to ensure high linguistic accuracy and developed a proprietary Retrieval-Augmented Generation (RAG) pipeline to inject real-time, domain-specific data into model contexts. To support this, I deployed the solution on GPU-accelerated clusters using a microservices architecture built with FastAPI, Docker, and Kubernetes, implementing horizontal pod autoscaling to maintain sub-second latency during traffic surges. The system’s precision was verified through a rigorous testing framework that improved model/prompt alignment and response accuracy by 67% using structured evaluation and automated feedback loops. Finally, I established a complete MLOps lifecycle featuring automated model registries, system monitoring for real-time performance tracking, and data drift detection to ensure long-term stability and responsible AI deployment.
AI Algorithms
Autoencoder, Convolutional Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Recurrent Neural Network, Regression Analysis, Transformer Model, YOLOAI Applications
AI Mobile App Development, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Classification, AIOps, Image Processing, Image Recognition, Natural Language Understanding, Speech Synthesis, Synthetic Data Generation, Time Series Analysis, Time Series ForecastingAI Development Language
PythonAI Tools
Hugging Face, NVIDIA AI Platform, PyTorch, TensorFlowAI Models
AlphaCode, DALL-E, GPT-3, GPT-J, LaMDA, LLaMA, Naive Bayes Classifier, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$899
|
Standard
$2,499
|
Advanced
$4,999
|
|---|---|---|---|
| Delivery Time | 3 days | 11 days | 21 days |
Number of Revisions | 1 | 2 | 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 | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$1,499 - $4,999
Additional Revision
+$500
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SM
Simret Andarge M.
Dec 30, 2025
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What An expert. We have thought we wouldn't have the chance to fix the issue. But he did it in hours. I hily recommend this freelancer since he is excellent in what he is working. He is also good communicator. Thank you
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Simret Andarge M.
Dec 28, 2025
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About Tewodros
Principal AI Engineer & Lead Data Scientist | Research-to-Production
100%
Job Success
Addis Ababa, Ethiopia - 4:17 am local time
Core Expertise
Generative AI & LLMs: Expert in fine-tuning, RAG pipelines, and prompt optimization for domain-specific applications (Legal, Healthcare, Marketing).
Advanced Recommender Systems: Architected intelligent career and agricultural recommendation engines that turn predictive modeling into actionable guidance.
MLOps & Deployment: Proficient in containerizing models with Docker and building high-performance APIs with FastAPI, Django, and Flask.
Research & Innovation: Lead author on publications involving 5G communication and multilingual LLMs for low-resource settings.
Why Hire Me?
I don’t just build models; I build products. Whether it’s developing a non-contact respiratory monitoring system using radar signals or a multilingual financial advisor supporting Amharic and Afaan Oromoo, I ensure every solution is scalable, responsible, and privacy-aware.
Steps for completing your project
After purchasing the project, send requirements so Tewodros can start the project.
Delivery time starts when Tewodros receives requirements from you.
Tewodros works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
Gathering requirements from the client
Project Planning and presenting