You will get a production-ready AI system with LLMs, RAG, agents, and Python
Project details
Most AI projects fail because they stop at prediction. I build systems that act.
I'm Tilek - a Lead Data Engineer and Senior AI/ML Engineer with 15+ years of experience delivering production-grade AI systems, LLM applications, and large-scale data platforms. I've helped Scale AI cut LLM data prep time by 70%, built document processing systems saving 60% processing time, and designed pipelines serving enterprises at national scale.
I build agentic AI systems that integrate into your product, execute real workflows, and deliver measurable outcomes from day one.
This project can include:
— LLM apps: RAG systems, AI agents, ChatGPT/Llama integrations
— ML models: prediction, classification, fraud & anomaly detection
— NLP: document processing, contract analysis, semantic search
— AI-powered APIs and backend systems with FastAPI
— Data pipelines: Spark, Kafka, Airflow, BigQuery, Snowflake
— MLOps: deployment, monitoring, CI/CD — MLflow and Kubeflow
— Cloud: AWS, GCP, Azure — Docker, Kubernetes, Terraform
Every project starts with your business goals - not code.
🚀 Message me with your project - let's build AI that works in production.
I'm Tilek - a Lead Data Engineer and Senior AI/ML Engineer with 15+ years of experience delivering production-grade AI systems, LLM applications, and large-scale data platforms. I've helped Scale AI cut LLM data prep time by 70%, built document processing systems saving 60% processing time, and designed pipelines serving enterprises at national scale.
I build agentic AI systems that integrate into your product, execute real workflows, and deliver measurable outcomes from day one.
This project can include:
— LLM apps: RAG systems, AI agents, ChatGPT/Llama integrations
— ML models: prediction, classification, fraud & anomaly detection
— NLP: document processing, contract analysis, semantic search
— AI-powered APIs and backend systems with FastAPI
— Data pipelines: Spark, Kafka, Airflow, BigQuery, Snowflake
— MLOps: deployment, monitoring, CI/CD — MLflow and Kubeflow
— Cloud: AWS, GCP, Azure — Docker, Kubernetes, Terraform
Every project starts with your business goals - not code.
🚀 Message me with your project - let's build AI that works in production.
Machine Learning Tools
Amazon SageMaker, Apache Spark, Apache Spark MLlib, BERT, ChatGPT, Databricks Platform, fastText, Google AutoML, GPT-3, H2O, Kubeflow, MLflow, NLTK, NumPy, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, pandas, Python, PyTorch, scikit-learn, SciPy, TensorFlow, Vertex AI, XGBoostWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$6,000
|
Advanced
$18,000
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 0 | 1 | 2 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$50
Model Documentation
(+ 1 Day)
+$100
Data Source Connectivity
(+ 1 Day)
+$100
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MP
Marina P.
Apr 15, 2026
Python Developer
About Tilek
AI Engineer | Python, LLM, RAG, Agents, FastAPI
100%
Job Success
Abu Dhabi, United Arab Emirates - 2:33 pm local time
Most AI projects break when the prototype meets real workflows: PDFs are inconsistent, databases are messy, prompts are unstable, users need source attribution, and the LLM output has to trigger actual backend logic. I help companies turn that chaos into reliable software with clean architecture, structured outputs, validation layers, human-in-the-loop review, logging, monitoring, and deployment.
My core work is around Python, FastAPI, OpenAI API, Anthropic Claude, LangChain, LangGraph, embeddings, vector databases, pgvector, semantic search, prompt engineering, model evaluation, and workflow automation. I also build the systems around AI - PostgreSQL schemas, API integrations, Redis queues, Kafka streams, Airflow pipelines, Docker deployments, AWS/GCP/Azure infrastructure, CI/CD, and React or Node.js product layers when needed.
I can help you build:
• RAG systems for internal knowledge bases, support automation, policy search, claims, contracts, screening documents, and enterprise search
• AI agents that call APIs, update CRMs, process files, trigger workflows, and keep humans in control
• Document processing systems for PDF extraction, OCR, invoice processing, contract analysis, data validation, and review-ready outputs
• LLM applications with structured outputs, source attribution, metadata filtering, access control, regression checks, and hallucination reduction
• AI automation platforms for operations, reporting, compliance, customer support, analytics, and decision support
• Data and ML pipelines using Python, SQL, Spark, Databricks, Snowflake, BigQuery, Airflow, Kafka, MLflow, and cloud infrastructure
Relevant work includes:
• Scale AI, where I worked on high-volume AI/data pipelines for machine learning workflows
• Deverus, where I contributed to document-heavy SaaS automation for background screening
• Arcade.ai, where I helped build generative AI product workflows
• AI Voice Bot, where I built real-time STT/TTS, Twilio Media Streams, WebSocket audio, RAG, and low-latency voice logic.
Find more relevant cases in my Upwork PORTFOLIO.
I’m strongest when the task is not just “add AI”, but design the full production workflow around it - backend logic, data quality, retrieval, APIs, evaluation, deployment, and measurable business output.
Got a messy AI workflow? Bring it to me - I’ll make it production-safe. LET'S TALK THIS WEEK.
Steps for completing your project
After purchasing the project, send requirements so Tilek can start the project.
Delivery time starts when Tilek receives requirements from you.
Tilek works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & Use Case Analysis
Understanding your business goals, data, and defining the best AI/ML or LLM approach for your use case.
Solution Architecture Design
Designing scalable architecture, selecting models, tools, and defining how the AI system will work in production.