You will get a comprehensive LLM evaluation report for your multilingual use case
Project details
Choosing the wrong LLM costs months and thousands of dollars. I help you make the right call by rigorously benchmarking models (GPT-4, Claude, Gemini, Mistral..) on your actual data and language. With 10+ years in multilingual NLP and active research on LLM performance for low-resource languages and domains, I bring both scientific rigor and practical insight. You get a clear, data-driven report telling you exactly which model fits your needs and why.
AI Algorithms
Autoencoder, Convolutional Neural Network, Feedforward Neural Network, Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Speech, Automatic Speech Recognition, Conversational AI, Machine Translation, Natural Language Generation, Natural Language Understanding, Neural Machine Translation, Sentiment Analysis, Speech SynthesisAI Development Language
PythonAI Tools
Azure OpenAI, Hugging Face, PyTorch, StreamlitAI Models
AlphaCode, ChatGPT, GPT-3, GPT-4, GPT-J, GPT-Neo, LaMDA, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$1,000
|
Standard
$2,500
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 4 days | 10 days | 21 days |
Number of Revisions | 1 | 2 | 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
+$500 - $2,500
Additional Revision
+$100
Additional LLM Model
(+ 2 Days)
+$300
6 reviews
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BB
Bahati Tadjuidje B.
Aug 21, 2026
Experienced Developer Needed for 60-90 min Research Interview on AI Coding Agents
WL
Wook L.
Apr 3, 2024
Text extraction for production document classification
JK
Jeongyeon K.
Nov 24, 2022
Interview for Computer Science Researchers (PhD, researcher, Master's, etc.)
LL
Lan L.
Aug 9, 2021
Research Interview with AI/ML freelancers
Thank you for a great interview Dicle.
RM
Rosa M.
Jul 28, 2021
Analyze grammatical and semantical differences using NLP
Dicle did great work for the following reasons, she:
- Gave clear details of what she would do before starting the task.
- Structured the work in reasonable parts and deliveries.
- Delivered on time.
- Has great expertise in NLP.
- Wrote excellent code in functions.
I enjoyed working with Dicle and will likely have additional jobs for him in the future!
- Gave clear details of what she would do before starting the task.
- Structured the work in reasonable parts and deliveries.
- Delivered on time.
- Has great expertise in NLP.
- Wrote excellent code in functions.
I enjoyed working with Dicle and will likely have additional jobs for him in the future!
About Dicle
NLP & ML Engineer | Generative AI Engineer | Data Scientist
Istanbul, Turkey - 4:04 pm local time
My specialty is bringing NLP to life for different languages, especially low-resource ones. It's a space I'm deeply passionate about, and one where I've seen firsthand how much of a difference thoughtful, language-aware engineering makes.
My primary fields:
→ LLM Evaluation & Fine-tuning
→ Multilingual RAG Pipelines
→ BERT & Transformer Models
→ End-to-End NLP Consulting
A little about me: I have an MSc degree in Computer Science from Boğaziçi University and PhD-level coursework in NLP and computational linguistics. I run Lucitext, my NLP consulting practice, and I speak four languages — which gives me not just technical knowledge but real intuition for how languages work.
I do my best work on projects where language complexity is the core challenge, not an afterthought. If your data is multilingual, your users speak underserved languages, or your models need to go beyond English — I'd love to hear about your project.
Steps for completing your project
After purchasing the project, send requirements so Dicle can start the project.
Delivery time starts when Dicle receives requirements from you.
Dicle works on your project following the steps below.
Revisions may occur after the delivery date.
Meeting & Discussion
Problem definition, requirements, to-do and to-deliver items are discussed. Plan shared and revised together.
Implementation & Documentation
The plan is implemented, model evaluation and results obtained, report and documentation written and delivered to the client.