You will get Custom Machine Vision Models for Document or Image Classification Tasks
Project details
Unlock the power of data with my tailored solutions! With a strong background in machine learning, data visualization, and software development, I specialize in transforming raw data into actionable insights. Whether you need predictive models, custom dashboards, or seamless integration into existing workflows, I ensure solutions that are both impactful and easy to use. My 15+ years of experience with startups and established enterprises guarantees high-quality deliverables, 100% original, and aligned with your goals. Together, let's create a project that drives results and sets your business apart.
Machine Learning Tools
BERT, ChatGPT, Deeplearning4j, GitHub Copilot, GPT-3, H2O, Keras, Microsoft Excel, Microsoft Power BI, MLflow, NLTK, NumPy, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, TensorFlow, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 3 | 4 |
Number of Graphs/Charts | 2 | 4 | 6 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$25
Model Documentation
(+ 2 Days)
+$50
Data Source Connectivity
(+ 2 Days)
+$70
Source Code
(+ 1 Day)
+$100Frequently asked questions
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DS
Diogo S.
Apr 3, 2025
Object Detection Model for Newly Planted Cocoa Trees (YOLO + QGIS Integration)
Michael’s work is truly world-class. He blended computer vision, geospatial logic, and automation into a clean, scalable solution — beautifully documented, rigorously tested, and ready for real-world deployment.
His technical depth spans not only geospatial AI but also machine learning, deep learning, and Python engineering. Whether it's computer vision, mapping automation, or advanced NLP pipelines, Michael brings clarity, precision, and thoughtful design to every step.
Highly recommended for anyone seeking top-tier, production-ready solutions in AI/ML, GIS, or data-driven Python projects
His technical depth spans not only geospatial AI but also machine learning, deep learning, and Python engineering. Whether it's computer vision, mapping automation, or advanced NLP pipelines, Michael brings clarity, precision, and thoughtful design to every step.
Highly recommended for anyone seeking top-tier, production-ready solutions in AI/ML, GIS, or data-driven Python projects
About Michael
AI/ML Solutions Architect | CTO | Computer Vision, NLP, MLOps| 16+ Yrs
Accra, Ghana - 1:17 pm local time
AI/ML Solutions Architect | Computer Vision & NLP | Automation (Python, n8n, Azure, AWS Lambda) | GIS Integration (QGIS) | Streamlit Dashboards | Docker & Kubernetes | Web3-Ready | Token APIs | Blockchain Integration
“Michael’s work is truly world-class… ready for real-world deployment.” — Upwork Client
I Build AI Systems Clients Actually Use
Founder & CTO of NiiOsa Labs. 16+ years turning complex AI into revenue-generating products. Top 5% on Upwork. Recently completed 3 Postgraduate Programs from University of Texas at Austin (AI/ML, Cloud Computing, Full-Stack Development).
RECENT CLIENT WINS
Computer Vision for Agriculture
Built YOLOv8 + QGIS pipeline detecting cocoa planting gaps from drone imagery
- 97% time reduction (8 hours to 15 minutes per site)
- 84% mAP accuracy, deployed across 3 West African countries
- Published on PyPI for easy replication
AI Automation for HR
Engineered GPT-4-powered leave management system (n8n + PocketBase + Docker)
- 80% reduction in manual HR work
- 99.5% uptime serving 50+ employees for 3 months
- Under 2min average response time
FinTech ML Prediction
Developed loan campaign optimizer with behavioral scoring
- 30% increase in ROI
- 90% accuracy, 85% recall
- Processing 10K+ predictions daily with under 100ms latency
CLIENT TESTIMONIAL
"Michael's work is truly world-class... ready for real-world deployment." - Upwork Client
WHAT I DELIVER
Computer Vision
- YOLOv8, Faster R-CNN, object detection, segmentation
- Aerial/satellite imagery analysis, geospatial integration (QGIS)
- Production pipelines with tiling, inference, post-processing
GenAI & NLP
- GPT-4/Claude integration, multi-agent workflows, RAG systems
- Document intelligence, OCR, entity extraction, summarization
- Conversational AI reducing support costs
MLOps & Deployment
- Docker/Kubernetes orchestration, CI/CD pipelines
- AWS (SageMaker, Lambda, EC2), Azure, GCP
- 99.5%+ uptime, under 100ms API latency, automated monitoring
Python Automation
- n8n workflows, webhook orchestration, API integrations
- Data pipelines processing millions of events
- Cost optimization (reduced cloud spend 35-40%)
CREDENTIALS
- CTO & Founder, NiiOsa Labs (AI innovation studio)
- 3x UT Austin Postgraduate Programs (AI/ML, Cloud, Full-Stack)
- 2nd Place, UT Austin ML Hackathon
- Published packages on PyPI
- Rising Talent, Top 5% on Upwork
WHY CLIENTS CHOOSE ME
- Fast delivery (prototype to production in 2-3 weeks)
- Transparent communication (daily updates, clear milestones)
- Production-ready code (not research prototypes)
- Post-deployment support (I stick around for success)
Based in Accra, Ghana | GMT+0 (perfect overlap with EU/UK/US East Coast)
Let's build something impactful. Message me with your project details.
Steps for completing your project
After purchasing the project, send requirements so Michael can start the project.
Delivery time starts when Michael receives requirements from you.
Michael works on your project following the steps below.
Revisions may occur after the delivery date.
Client Provides Requirements
After purchasing the project, the client uploads the required dataset, documents, and any specific preferences (e.g., visualization styles, preferred tools) via Upwork or shared platforms
Initial Analysis and Project Setup
I review the dataset, requirements, and documentation, then confirm the project scope and milestones with the client. A timeline will be finalized at this stage