You will get Linguist-architected prompt engineering & LLM optimization
Top Rated
Project details
Large Language Models require strict logic to function reliably.
As an AI/ML Developer and Computational Linguist, I treat Prompt Engineering as a structural discipline. I apply linguistic principles to align human intent with neural architecture.
I combine this linguistic precision with Python & Node.js expertise to build systems that integrate perfectly into software workflows.
My Focus:
• Structure: Semantic constraints that define absolute boundaries.
• Logic: Enforced output in clean JSON or Markdown.
• Control: Deterministic reliability for automation.
I currently optimize pipelines for AI companies and e-commerce platforms. I build the logic that makes them work whether for Google's advanced Gemini ecosystem, OpenAI's reasoning models, or Anthropic's Claude.
Logic. Syntax. System.
As an AI/ML Developer and Computational Linguist, I treat Prompt Engineering as a structural discipline. I apply linguistic principles to align human intent with neural architecture.
I combine this linguistic precision with Python & Node.js expertise to build systems that integrate perfectly into software workflows.
My Focus:
• Structure: Semantic constraints that define absolute boundaries.
• Logic: Enforced output in clean JSON or Markdown.
• Control: Deterministic reliability for automation.
I currently optimize pipelines for AI companies and e-commerce platforms. I build the logic that makes them work whether for Google's advanced Gemini ecosystem, OpenAI's reasoning models, or Anthropic's Claude.
Logic. Syntax. System.
AI Algorithms
Autoencoder, Deep Belief Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, Recurrent Neural Network, Regression Analysis, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, Conversational AI, Machine Translation, Natural Language Generation, Natural Language Understanding, Neural Machine Translation, Sentiment Analysis, Text RecognitionAI Development Language
PythonAI Tools
Adobe Firefly, Azure OpenAI, Bing AI, GitHub Copilot, Hugging Face, NVIDIA AI Platform, PyTorch, Streamlit, TensorFlowAI Models
ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$120
|
Standard
$450
|
Advanced
$1,250
|
|---|---|---|---|
| Delivery Time | 2 days | 7 days | 21 days |
Number of Revisions | 3 | 5 | 10 |
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 - $250
Additional Revision
+$100Frequently asked questions
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KM
Kseniya M.
Mar 4, 2026
Strings translation for app
HA
Hamid A.
Oct 6, 2025
Prompt engineering for video automation software
RB
Robert B.
Sep 21, 2025
Turkish to English Translation Service
Mete is a good translator to work with and we have had a good experience working with him in the last few years when needing quality Turkish-English translations.
TI
Twinciti I.
Oct 22, 2024
Prompt Engineer & Linguist
RB
Robert B.
Mar 9, 2024
Turkish to English Translation Services
Mete provides outstanding work and he is our go to translator for high quality English-Turkish translations. He's nice person to work with!
About Mete
AI/ML Developer, Data Scientist, Linguist, Prompt Engineer, Translator
100%
Job Success
Ankara, Turkey - 4:40 am local time
What I do:
My day-to-day work now ranges from designing prompt architectures and evaluating large-language models at Twinciti AI to co-founding Minimalisfy, an AI-driven e-commerce venture for which I auto-generated product visuals and synchronised listings across multiple marketplaces. Through Me the Tech, I architect end-to-end solutions such as data pipelines, full-stack web apps, AI automation- and advise teams on strategy, digital transformation, and open-source adoption. I also contribute human-centred UX testing for the Center for Hybrid Intelligence at Aarhus University, translating research insights into interface improvements while assisting developers in debugging process.
What I deliver:
- AI training: designing and refining model training pipelines and instructional data workflows
- Content editing, localization, and meticulous proofreading for global audiences
- Data science: developing analytics pipelines, feature engineering, and statistical modeling
- Deep learning and machine learning: architecting, fine-tuning, and evaluating neural networks
- Natural-language processing: from tokenization and semantic parsing to text generation
- Prompt engineering and RAG design: crafting effective prompts and retrieval-augmented generation frameworks
- Python development: writing production-grade code for AI models, web services, and automation scripts
- QA, UI, and UX testing: conducting manual and automated assessments to optimize usability
- Strategic solution architecture: designing and implementing end-to-end AI systems
What tools I use:
ABBYY 15 · Adobe Creative Cloud · Adobe Dreamweaver · Adobe Photoshop · AutoHotKey · Basecamp · ChatGPT · Claude · Deepseek · Discord · Figma · Gemini · Git & GitHub · Google Analytics · Google Drive · Grok · HTML5/CSS3 · Hugging Face · JavaScript · Jupyter Notebook · Keyman · MemoQ · Microsoft Copilot · Meta AI · Miro · NLTK/spaCy · Node.js · Notion · Office 365 Enterprise · OpenAI · Pandas/NumPy · Perplexity · PyCharm · Python · PyTorch · Scikit-learn · SDL Trados · Slack · SQL · VS Code · WebStorm · Wix
Steps for completing your project
After purchasing the project, send requirements so Mete can start the project.
Delivery time starts when Mete receives requirements from you.
Mete works on your project following the steps below.
Revisions may occur after the delivery date.
Linguistic Deconstruction
I analyze your request to identify semantic ambiguities. I map your human intent to the specific logic structure of the target LLM.
Prompt Architecture Design
I build the "System Instructions". This includes defining the Persona, setting strict Constraints, and engineering the Few-Shot examples.