You will get an AI/ML pipeline or LangChain RAG solution using Python and cloud
Project details
You will get a production-ready AI/ML pipeline or LangChain RAG solution built by a Senior AI Engineer with 15+ years of experience — including roles at Vodafone UK and Cisco.
I specialise in end-to-end AI systems: from data ingestion and feature engineering through to model serving, RAG architectures, and cloud deployment. Whether you need a custom LLM pipeline powered by LangChain, a vector database-backed knowledge retrieval system, or a scalable ML inference API — I deliver clean, documented, enterprise-grade code.
What makes my work different:
• Real enterprise experience: AI/ML pipelines deployed at scale for major telecoms and tech companies
• Full-stack AI: I handle the data layer, model layer, API layer, and cloud infrastructure
• RAG expertise: LangChain, vector DBs (Pinecone, Weaviate, FAISS), OpenAI/Anthropic API integration
• Cloud-native: AWS SageMaker, Azure ML Studio, GCP Vertex AI, Databricks
• Master's degree in Artificial Intelligence + AWS ML Specialist certified
Every delivery includes clean source code, documentation, and a handover session. I am available immediately for contract engagements (UK-based, Outside IR35).
I specialise in end-to-end AI systems: from data ingestion and feature engineering through to model serving, RAG architectures, and cloud deployment. Whether you need a custom LLM pipeline powered by LangChain, a vector database-backed knowledge retrieval system, or a scalable ML inference API — I deliver clean, documented, enterprise-grade code.
What makes my work different:
• Real enterprise experience: AI/ML pipelines deployed at scale for major telecoms and tech companies
• Full-stack AI: I handle the data layer, model layer, API layer, and cloud infrastructure
• RAG expertise: LangChain, vector DBs (Pinecone, Weaviate, FAISS), OpenAI/Anthropic API integration
• Cloud-native: AWS SageMaker, Azure ML Studio, GCP Vertex AI, Databricks
• Master's degree in Artificial Intelligence + AWS ML Specialist certified
Every delivery includes clean source code, documentation, and a handover session. I am available immediately for contract engagements (UK-based, Outside IR35).
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AIOps, Conversational AI, Natural Language UnderstandingAI Tools
Hugging Face, PyTorch, TensorFlowAI Models
BERT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$800
|
Standard
$2,000
|
Advanced
$4,500
|
|---|---|---|---|
| Delivery Time | 10 days | 21 days | 30 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 | - |
About Halil Ibrahim
Senior AI/ML Engineer | LangChain, RAG, Agentic AI | Cisco & Vodafone
Newbury, United Kingdom - 5:25 am local time
With 15+ years in technology and 6+ years specialising in AI/ML and Generative AI, I have delivered production-grade AI solutions for major enterprises including Vodafone UK and Cisco UK/USA.
WHAT I DELIVERED:
✔ Led AI transformation at Vodafone UK → 20% operational efficiency gain, 30% improvement in sales productivity
✔ Deployed enterprise Gen AI chatbot (LangChain + RAG + FastAPI) for 1,000+ sales reps — within a 12-week sprint
✔ Built FastAPI automation system at Cisco → ~40% reduction in manual SLA configuration effort
✔ Designed and shipped predictive ML models (XGBoost, neural nets) improving marketing campaign ROI by 20%
WHAT I BUILD:
🔹 Agentic AI & LLM systems — LangChain, LangGraph, RAG, OpenAI, Hugging Face, Vector DBs
🔹 Production Python APIs — FastAPI, Django, Flask with enterprise-grade reliability
🔹 Cloud ML pipelines — AWS SageMaker, Azure ML, GCP Vertex AI
🔹 Data engineering at scale — Databricks, PySpark, Apache Kafka, Airflow
🔹 MLOps — Docker, Kubernetes, Terraform, Jenkins, GitLab CI/CD
CREDENTIALS:
🎓 MSc Artificial Intelligence | MBA | BEng Electrical & Electronics Engineering
🏅 AWS Certified Machine Learning Specialist
🏅 Agentic AI | Celonis Data Engineer | Databricks Fundamentals
I bring both technical depth (I write the code) and business communication skills (I present to boards). Available immediately. Let's talk about your project.
Steps for completing your project
After purchasing the project, send requirements so Halil Ibrahim can start the project.
Delivery time starts when Halil Ibrahim receives requirements from you.
Halil Ibrahim works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Architecture Design
Review your requirements, define the ML/RAG architecture, select the right models and vector databases, and agree on the technical approach before development begins.
Pipeline Development & Model Integration
Build the core ML/RAG pipeline: data ingestion, embedding generation, vector store setup, LLM integration via LangChain, and cloud deployment with CI/CD on your chosen platform.