You will get fine-tuned LLM on your dataset in a quantized format

Simeon E.Status: Offline
Simeon E.
5.0

Let a pro handle the details

Buy Generative AI services from Simeon, priced and ready to go.
Simeon E.Status: Offline
Simeon E.
5.0

Let a pro handle the details

Buy Generative AI services from Simeon, priced and ready to go.

Project details

I specialize in fine-tuning large language models for production environments, with proven expertise in optimizing models for specific business needs. You'll receive a production-ready model that's been carefully tuned on your data, validated for performance, and optimized for deployment.

What sets my service apart is my focus on practical deployment and performance optimization. The delivered package includes not just the fine-tuned model, but also comprehensive deployment instructions, inference code, and full documentation. I pay special attention to model quantization and efficiency, ensuring your model performs well in real-world conditions.

As the creator of open-source libraries for information retrieval and an active contributor to the AI community, I bring deep technical expertise to each project. My background in production ML systems ensures that you'll receive not just a working model, but a solution that's ready for real-world implementation.

The service includes data preparation, synthetic data generation when needed, and adjustments based on testing results.
AI Algorithms
Large Language Model, Multilayer Perceptron, Transformer Model
AI Applications
AI Chatbot, AI Content Creation, AIOps, Conversational AI, Natural Language Understanding
AI Development Language
Python
AI Tools
Hugging Face, PyTorch, TensorFlow
AI Models
BERT, LLaMA
What's included
Service Tiers Starter
$1,000
Standard
$1,500
Advanced
$1,900
Delivery Time 7 days 10 days 12 days
Number of Revisions
333
AI Model Integration
Batch Normalization
Database Integration
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Detailed Code Comments
Image Upscaling
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MLOps
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Model Deployment
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Model Documentation
Model Monitoring
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Model Testing & Optimization
Model Tuning
Natural Language Processing
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NLP Tokenization
Pre-Training
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Prompt Engineering
Setup File
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Source Code
Optional add-ons You can add these on the next page.
Fast Delivery
+$500 - $700
Additional 1000 items (+ 1 Day)
+$200
Additional 10000 items (+ 2 Days)
+$500
Deployment to Hugging Face Inference endpoint (+ 2 Days)
+$400

Frequently asked questions

5.0
2 reviews
100% Complete
1% Complete
(0)
1% Complete
(0)
1% Complete
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CF

Cheryl F.
5.00
Dec 21, 2023
Neural Network Classification Development Simeon did a great job fixing problems in our ML project. His skills with TensorFlow and PyTorch really helped us. I strongly recommend him!

KH

Keneth H.
5.00
Dec 16, 2023
Python API Deployment Working with Simeon Emanuilov on deploying our Python API to Linux was an exceptional experience. His expertise in Python, coupled with his knowledge of Ubuntu and Docker, was evident in the seamless deployment and optimization of our API for high traffic.

Simeon's proactive approach, especially during the critical initial launch phase, was remarkable. He tackled challenges efficiently and was always ready to provide support. His clear and effective communication kept our team well-informed and confident in the project's success.

Simeon stands out as a freelancer for his technical skills, work ethic, and interpersonal abilities. He's a valuable asset to any project requiring top-tier Python expertise. We eagerly anticipate collaborating with him again.
Simeon E.Status: Offline

About Simeon

Simeon E.Status: Offline
Senior AI Engineer & PhD Researcher | Production AI Systems
5.0  (2 reviews)
Sofia, Bulgaria - 2:27 pm local time
I'm a PhD-qualified AI Engineer specializing in production-grade machine learning systems, with over 10 years of experience building and scaling AI applications for high-profile brands including Rakuten, Seloger, Costa Coffee, and OLX.

With a PhD in Computer Science and AI from Bulgaria's premier technical university, I bring research-level rigor to real-world engineering challenges. I'm the author of "Build AI Applications with FastAPI" and "Build RAG Applications with Django," and maintain the UnfoldAI blog exploring practical AI implementation strategies.

📌 What sets me apart:
I bridge the gap between cutting-edge AI research and production reliability. My doctoral research enables me to tackle complex technical challenges that require both theoretical depth and practical execution, while my decade of production experience ensures solutions that actually work at scale.

📌 How I work:
I operate as a technical partner, not just a contractor. I focus on understanding your business constraints, designing elegant solutions within those constraints, and delivering production-ready systems with world-class communication throughout. Quality and reliability are non-negotiable in my work.

📌 Core expertise:
✔️ LLM integration, fine-tuning, and deployment
✔️ RAG (Retrieval-Augmented Generation) systems
✔️ ML model deployment and optimization
✔️ AI systems architecture and design

📌 Production engineering:
✔️ Python frameworks: Django, FastAPI, Flask
✔️ Full-stack development with holistic system understanding
✔️ Database design: PostgreSQL, ClickHouse, Pinecone, Weaviate
✔️ Infrastructure: Docker, Kubernetes, bare metal server management
✔️ Cost-effective CPU deployments and complex GPU setups

📌 Additional technologies:
Years of experience with Golang, PHP, and JavaScript give me a comprehensive understanding of software ecosystems and project lifecycles, enabling me to make informed architectural decisions.

📌 My approach:
I prefer to start with a call to understand your specific requirements and end goals. This ensures we're aligned on technical approach, project scope, and success metrics from day one. My focus is on overdelivering and making your project successful through relentless attention to technical excellence and clear communication.

Whether you need a complex ML system built from scratch, an existing AI application scaled and optimized, or specialized research-grade solutions for unique technical challenges, I bring the depth and reliability to deliver results.

Steps for completing your project

After purchasing the project, send requirements so Simeon can start the project.

Delivery time starts when Simeon receives requirements from you.

Simeon works on your project following the steps below.

Revisions may occur after the delivery date.

Data preparation and validation

Review provided dataset, clean data inconsistencies, generate synthetic examples if needed, and prepare training/validation splits for optimal fine-tuning performance.

Model architecture selection

Test different model configurations on sample data, discuss trade-offs between size/performance, and select the most suitable architecture based on your requirements and constraints.

Review the work, release payment, and leave feedback to Simeon.