You will get End-to-End Machine Learning: From Data Preprocessing to Model Deployment
Project details
This project provides machine learning techniques to deliver solution tailored to your needs. I offer machine learning services that help you make data-driven decisions, automate tasks, and uncover insights. You’ll get a tailored ML solution based on your needs, from data preparation to model deployment. I’ll ensure the model performs well and fits seamlessly into your systems, with ongoing support to keep it optimized. You'll receive a practical, easy-to-understand model that drives business results.
Machine Learning Tools
BERT, ChatGPT, GitHub Copilot, Google Sheets, GPT-3, Keras, Microsoft Excel, Microsoft Power BI, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Sonnet, SQL, TensorFlow, Weka, XGBoostWhat's included
| Service Tiers |
Starter
$15
|
Standard
$30
|
Advanced
$50
|
|---|---|---|---|
| Delivery Time | 3 days | 6 days | 10 days |
Number of Revisions | 5 | 9 | Unlimited |
Number of Model Variations | 3 | 5 | 7 |
Number of Graphs/Charts | 10 | 15 | 20 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Graph/Chart
+$5Frequently asked questions
About Samiullah
AI/ML Engineer| Researcher| LLMs| Multi-modal learning| Mlops| n8n
Multan, Pakistan - 10:37 am local time
production experience building intelligent systems that solve real
business problems — not just notebook experiments.
At Bluecascade, I automated an intra-departmental decision-making
pipeline using n8n, Airtable, and JavaScript, cutting decision
turnaround time from ~60 seconds to under 20 — a 65%+ reduction in
a live production environment. That's the kind of measurable impact
I bring to every engagement.
On the research side, I've contributed to PhD-level multi-modal
learning projects, designing novel Transformer architectures for
medical AI — including gated cross-attention decoders, bilinear
image fusion, and clinically-structured report generation evaluated
with RadGraph-F1. I'm currently pursuing research in conflict-aware
continual multi-modal learning for medical applications.
What I can build for you:
→ End-to-end ML pipelines from data to deployed API
→ LLM-powered applications and AI agents
→ NLP systems: classification, summarization, QA, translation
→ Computer vision: detection, segmentation, medical imaging
→ Workflow automation with n8n, Airtable, and custom scripts
→ Flask/Python backends for AI-powered web applications
→ BI dashboards and data analysis pipelines
I've interned at three AI companies simultaneously, shipping projects
in stock market anomaly detection, cancer prediction from medical
images, restaurant recommendation systems, object detection with
YOLO, and prompt-to-music generation — across TensorFlow, Keras,
Hugging Face, OpenCV, and Flask.
I hold a 3.81 CGPA in BS Artificial Intelligence and I treat every client project with the same vigour I apply to research: careful, well-documented, and built to last.
If you need AI that actually works in production — let's talk.
Steps for completing your project
After purchasing the project, send requirements so Samiullah can start the project.
Delivery time starts when Samiullah receives requirements from you.
Samiullah works on your project following the steps below.
Revisions may occur after the delivery date.
Data Exploration & Analysis
After gathering all the necessary info, I’ll clean up the data—removing missing values, duplicates, or anything that could mess with the model. I’ll also check that the data is ready to be used for training.
Exploratory Data Analysis (EDA):
I’ll dive into the data, exploring it for patterns or insights. This helps me understand the data better and decide on the best approach for building the model.