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I will build predictive machine learning models in python
AI ML Engineer
Most AI projects never reach production. I fix that. AI/ML Engineer specialising in agentic AI (LangGraph), RAG pipelines, prediction models (XGBoost/LightGBM/CatBoost), and deep learning — every proj...
Über diesen Service
WHO I AM?
- I'm a Machine Learning Engineer and Kaggle Expert (Top 4% globally) who builds production-grade ML systems not just notebooks, but models that get deployed and used.
- You work directly with me. No agencies, no handoffs.
WHAT I BUILD?
- Predictive models forecasting, churn, pricing, lead scoring
- Classification fraud, segmentation, sentiment
- Recommendation engines
- Time-series forecasting
- NLP text classification, NER, embeddings
- Production deployment REST APIs, Docker, AWS/GCP
TECH STACK
- Python, scikit-learn, XGBoost, PyTorch, TensorFlow, FastAPI, Docker, AWS, GCP, MLflow, Streamlit
WHAT YOU GET?
- Clean, documented source code
- Trained model artifacts
- Reproducible training pipeline (you can rerun it anytime)
- Evaluation report
- REST API or demo app
- Optional: Full cloud deployment
- Handover call so you can run everything independently
HOW I WORK?
- Message me with your problem and data
- I respond fast with honest feedback
- Agree on scope and timeline
- Daily progress updates
CONTACT ME BEFORE ORDERING
Send me:
- What you want to predict
- Description of your data
- How the model will be used
I'll quote honestly. If ML isn't right, I'll tell you.
Mein Portfolio
FAQ
What's your experience in ML and AI?
I'm a Machine Learning Engineer and Kaggle Expert (Top 4% globally). I've shipped ML/AI solutions for startups and businesses including RAG systems, predictive models, and production APIs.
Do you take big or long-term projects?
Yes. Premium tier handles end-to-end ML systems with cloud deployment. For projects beyond Premium scope, message me for a custom quote — I work on long-term retainers too.
My data is messy or limited. Can you still help?
Yes. Data cleaning and feature engineering are in every tier. For small datasets (under 1,000 rows) I'll tell you upfront if ML fits or if simpler statistics will work better.
Do you sign NDAs and protect client data?
Yes, NDAs available on request before data is shared. I delete all client data after delivery. For sensitive data, I can build on synthetic samples that you run on real data yourself.
Do you work on chatbots, RAG, or LLM projects?
Those are a different specialty I cover in a separate gig. This gig focuses on predictive models, classification, and deep learning. Message me and I'll point you to the right service.
Will I be able to run the model after delivery? I'm not technical.
Yes. Basic includes notebook + instructions. Standard adds a REST API. Premium includes full cloud deployment so the model runs without you touching anything.
Can the model scale as my data grows?
Yes. I build production-grade pipelines using Docker, FastAPI, and cloud-ready infrastructure. As your data grows, the same architecture handles 10x or 100x volume — just adjust compute resources. Tell me your expected scale upfront so we architect for it.
