You will get Fine-Tuned Machine Learning Model
Rising Talent
Rising Talent
Project details
I build end-to-end AI systems that turn raw data and workflows into production-ready solutions — not just prototypes or prompt demos.
With experience designing large-scale ML pipelines, LLM systems, and automation workflows, I focus on solutions that are reliable, scalable, and aligned with real business outcomes.
Packages:
• Basic: Working prototype (LLM or ML) with core functionality, prompt setup, and simple evaluation — ideal for testing ideas quickly
• Standard: Production-ready system with structured pipeline (RAG or ML), improved accuracy, evaluation framework, and API or batch deployment
• Premium: Advanced system with fine-tuning/optimization, scalable architecture, stronger evaluation, and integration into real workflows
Each project includes clean code, clear documentation, and a system you can actually use and extend — so you avoid wasting time and budget on the wrong approach.
With experience designing large-scale ML pipelines, LLM systems, and automation workflows, I focus on solutions that are reliable, scalable, and aligned with real business outcomes.
Packages:
• Basic: Working prototype (LLM or ML) with core functionality, prompt setup, and simple evaluation — ideal for testing ideas quickly
• Standard: Production-ready system with structured pipeline (RAG or ML), improved accuracy, evaluation framework, and API or batch deployment
• Premium: Advanced system with fine-tuning/optimization, scalable architecture, stronger evaluation, and integration into real workflows
Each project includes clean code, clear documentation, and a system you can actually use and extend — so you avoid wasting time and budget on the wrong approach.
AI Algorithms
Autoencoder, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Recurrent Neural Network, Regression Analysis, Transformer ModelAI Applications
AI Chatbot, AI Text-to-Image, AI-Enhanced Classification, AI-Enhanced Medical Imaging, AI-Generated Code, Anomaly Detection, Facial Recognition, Image Recognition, Machine Translation, Object Detection, Sentiment Analysis, Text RecognitionAI Development Language
PythonAI Tools
PyTorch, Streamlit, Word2vecAI Models
BERT, DALL-E, Dolly, LLaMA, Naive Bayes ClassifierWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$3,500
|
Advanced
$7,000
|
|---|---|---|---|
| Delivery Time | 6 days | 14 days | 28 days |
Number of Revisions | 0 | ||
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
+$1,500 - $5,000
Additional Revision
+$1,500
Reinforcement Learning Fine-Tuning
+$5,000About Jason
AI & Data Consulting
New York, United States - 5:33 am local time
Steps for completing your project
After purchasing the project, send requirements so Jason can start the project.
Delivery time starts when Jason receives requirements from you.
Jason works on your project following the steps below.
Revisions may occur after the delivery date.
Define the Problem & Workflow
Clarify the use case, success metrics, and how the system will be used (e.g., predictions, automation, decision support).
Data & System Assessment
Review available data, sources, and infrastructure. Identify gaps, risks, and the best technical approach (ML, LLM, or hybrid).