I will develop nlp, deep learning, and ml models
Machine Learning Engineer and Artificial Intelligence Researcher
About this Gig
Are you looking for a reliable ML engineer to turn your data into a working AI solution?
I'm Michael, an ML Engineer with a published research paper (IJCA, 2025) and 6 live deployed AI applications spanning healthcare, NLP, and recommendation systems.
What I deliver:
- Custom ML models (classification, regression, clustering)
- NLP systems (text analysis, hate speech detection, sentiment)
- Flask REST APIs for model serving
- Cloud deployment (Render, etc.)
- Clean GitHub documentation
Tools I use: Python, Scikit-learn, TensorFlow, PyTorch, Flask, Pandas, HuggingFace
Past results:
- 94% accuracy on fall detection system
- 90% F1-score on multilingual NLP classifier
- 40% improvement in recommendation relevance
Every project comes with clean code, a performance report, and full documentation.
Whether you need a quick model or a fully deployed AI app I've got you covered.
Message me before ordering so I can tailor the solution to your needs.
FAQ
Q1: What information do I need to get started?
A: Just share your dataset (or a description of it), your goal (e.g. classification, prediction, NLP), and any specific tools or frameworks you prefer. I'll handle the rest.
Q2: Can you work with my own dataset?
A: Yes. I work with CSV, Excel, JSON, and database formats. If your data needs cleaning, that's included in all packages.Can you work with my own dataset? A: Yes. I work with CSV, Excel, JSON, and database formats. If your data needs cleaning, that's included in all packages.
Q3: Will I own the code and model after delivery?
A: Absolutely. You get full ownership of all code, the trained model, and documentation. Everything is delivered via GitHub or direct download.
Q4: What if I'm not satisfied with the result?
A: I offer revisions on every package. Message me first — I'll always work with you to make sure you're happy with the output.
Q5: Do you offer support after delivery?
A: Yes, I'm available for questions after delivery. For ongoing support or modifications beyond the agreed scope, we can discuss a separate arrangement.

