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Fiverr Pro
English
$
USD
I will do machine learning, nlp, llm, ai agent projects
AI Engineer, AI SaaS, MVPs, LangChain Agents, RAG, MLOps
Full-stack AI engineer, 4+ years, 20+ countries.
Turned unstructured client documents into ATO-compliant R&D tax reports automatically. Built a microservice that listens to doctor consultations and d...
Level 2
Has met high performance criteria and has a proven track record for meeting client expectations.
Highly Responsive
Known for exceptionally quick replies
About this Gig
Not every problem needs an LLM. Not every model needs to stay in a notebook.
I build the right solution for your data, classical ML, deep learning, or full AI agent systems and deliver it production-ready.
What I work with: Scikit-learn, XGBoost, PyTorch, TensorFlow, LangChain, RAG pipelines, autonomous AI agents, FastAPI, Docker, PostgreSQL, Supabase, vector databases.
What you get: A working system. Clean code, deployed, secured, and documented not a .ipynb file.
From single model training to end-to-end LLM-powered AI agents. Tell me your problem, I'll tell you the right approach.
Frameworks:
Scikit-learn
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SimpleCV
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Keras
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PyTorch
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Panda
Data type:
Text
Programming language:
Python
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SQL
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Colab
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MLflow
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Amazon SageMaker
Tools:
Jupyter Notebook
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OpenCV
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TensorFlow
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MLflow
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Amazon SageMaker
My Portfolio
Other Data Science & ML Services I Offer
FAQ
Do you only work on ML models or full systems too?
Both. I train models and build the full stack around them -> API, database, auth, deployment, everything.
How can you handle ML, LLM, agents, voice AI, and automation - isn't that too broad?
I'm a full-stack AI engineer with 5+ years building production AI systems - from classical ML pipelines to voice AI agents, RAG systems, and end-to-end SaaS platforms. I'm not a tutorial developer; I'm an AI architect. Check my Fiverr profile - the projects speak for themselves.
What stack do you use for deployment?
FastAPI + Docker + PostgreSQL/Supabase + cloud hosting. Secured with JWT auth out of the box.
Will I get just a model or something I can actually use?
A live, working system. Clean code, documented, deployed - not a notebook.
Do you work with existing codebases or only greenfield projects?
Both. I can integrate into your existing system or build from scratch.
What if my project doesn't fit a package?
Message me with your requirements. Most serious projects are custom-scoped anyway.
