You will get developed AI models suited to your specific business needs.
Project details
What sets me and my project apart is the integration of cutting-edge AI techniques with a user-centric design philosophy. The project goes beyond conventional data analysis, employing the latest advancements in machine learning and natural language processing to provide nuanced insights. My approach emphasizes not just technical excellence, but also the importance of interpretability and accessibility for users of all backgrounds.
I bring a unique blend of academic AI rigor and real-world engineering pragmatism. With hands-on experience in deploying scalable AI systems and a keen understanding of the human factors involved in technology adoption, my work bridges the gap between abstract AI concepts and tangible, impactful applications.
Moreover, this project is distinguished by its adaptive learning capabilities. It is designed to evolve with use, learning from new data and user interactions, ensuring that it remains at the forefront of AI's potential. This adaptability ensures long-term relevance and continuous improvement, setting a new benchmark for AI solutions in the industry.
I bring a unique blend of academic AI rigor and real-world engineering pragmatism. With hands-on experience in deploying scalable AI systems and a keen understanding of the human factors involved in technology adoption, my work bridges the gap between abstract AI concepts and tangible, impactful applications.
Moreover, this project is distinguished by its adaptive learning capabilities. It is designed to evolve with use, learning from new data and user interactions, ensuring that it remains at the forefront of AI's potential. This adaptability ensures long-term relevance and continuous improvement, setting a new benchmark for AI solutions in the industry.
AI Algorithms
Convolutional Neural Network, Gated Recurrent Unit, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Recurrent Neural Network, Regression Analysis, Self-Organizing Map, Transformer Model, Variational AutoencoderAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI Text-to-Speech, Conversational AI, Image-to-Image Translation, Machine Translation, Natural Language Generation, Natural Language Understanding, Object Localization, Sentiment Analysis, Text RecognitionAI Development Language
PythonAI Tools
Hugging Face, NVIDIA AI Platform, PyTorch, Streamlit, TensorFlow, Word2vecAI Models
BERT, ChatGPT, DALL-E, Dolly, GPT-3, LLaMA, Naive Bayes ClassifierWhat's included
| Service Tiers |
Starter
$20
|
Standard
$50
|
Advanced
$80
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 20 days |
Number of Revisions | 2 | 4 | 3 |
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
+$30 - $150About Eman
Artificial Intellignce | Machine Learning
Erlangen, Germany - 9:40 am local time
My core engineering work involves designing and maintaining large-scale data ingestion, transformation, and storage pipelines using Python, SQL, PostgreSQL, and cloud-native tools. This production mindset is what sets my AI work apart. I don't just prototype models, I build systems that reliably run in the real world.
On the AI side, I specialize in:
• Generative AI & LLM integration (OpenAI, Claude, open-source models)
• RAG (Retrieval-Augmented Generation) pipelines with vector databases (FAISS, Pinecone, Weaviate)
• AI Chatbots & Conversational Agents with memory and context management
• Multi-Agent Systems using frameworks like LangGraph, CrewAI, and AutoGen
• MCP (Model Context Protocol) for connecting AI agents to real-world tools and data sources
• LLM fine-tuning, prompt engineering, and evaluation pipelines
I bridge the gap between data engineering and applied AI whether the goal is building a RAG-powered knowledge assistant, a multi-agent automation workflow, or a scalable data layer that feeds AI models reliably.
If your project sits at the intersection of data infrastructure and intelligent AI systems, I'd love to collaborate.
Steps for completing your project
After purchasing the project, send requirements so Eman can start the project.
Delivery time starts when Eman receives requirements from you.
Eman works on your project following the steps below.
Revisions may occur after the delivery date.
Gathering requirements and understanding the end result
In this step I need the client to give me the project description in a well-defined document, aligned with business goals, and sets a clear path for development.