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
1 review
(1)
(0)
(0)
(0)
(0)
This project doesn't have any reviews.
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 Security Architect | LLM & Agentic AI Security | CTO NiiOsa Labs
Accra, Ghana - 8:58 am local time
I secure AI systems that run in production. If you're deploying LLMs, AI agents, or automation that touches real data and real decisions, I make sure those systems can't be broken, manipulated, or misused.
I authored the Three Failure Domains framework for LLM runtime security, mapping every OWASP LLM Top 10 risk to three architectural failure points: Boundary (input validation against prompt injection), Grounding (output integrity against hallucination), and Containment (execution scope control against unauthorized agent action).
WHAT I BUILD AND SECURE
AI Agent Security Architecture
Scoped tool-use controls for MCP integrations. Schema validation before execution. Hash-chained audit trails for tamper-evident action logging. Prompt injection defense, output validation, and evaluation hooks for groundedness and hallucination detection.
Production AI Systems
Shipped a multi-agent NLP automation platform (GPT-4, Claude, LangChain) serving 50+ users across 200+ monthly workflows at 99.5% uptime. Built a Voice AI platform with sub-500ms latency integrated with Twilio and FreeSWITCH telephony.
Computer Vision & ML
Published YOLOv8 package on PyPI (84% mAP). Predictive ML engine serving 10,000+ daily predictions at sub-100ms latency and 90% accuracy.
CREDENTIALS
Founder & CTO, NiiOsa Labs (AI Security Consultancy)
4x University of Texas at Austin Postgraduate Programs (AI/ML, Cybersecurity, Cloud Computing, Full-Stack Development)
BSc Electrical/Electronic Engineering, KNUST
16+ years enterprise infrastructure at MTN Ghana
Published: Three Failure Domains framework, The Two-Front War newsletter
TECH STACK
Python, Claude, Claude Code, MCP, LangChain, FastAPI, AWS, Docker, Kubernetes, PyTorch, Hugging Face, MLflow, PostgreSQL
Based in Accra, Ghana | GMT+0 | Full overlap with EU/UK/US East Coast"
Skills to list:
AI Security
LLM Security
Python
AI/ML
Cloud Security
API Development
Machine Learning
Computer Vision
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