You will get AI Engineer | Product | App Development | Machine Learning
Project details
We build machine learning models that are meant to ship — not notebooks that live on a
laptop. Whether that's a recommendation system, a churn or risk predictor, a forecasting
model, or a classifier, we take it from your raw data to something integrated into your
actual product or workflow.
What you'll get
A trained model built on your data, with clear evaluation metrics (not vibes)
A clean pipeline for retraining as new data comes in
An API or integration point so the model plugs into your existing product
Documentation covering assumptions, limitations, and how to monitor performance over time
A plain-language readout of what the model can and can't reliably do
Our process
Data audit — we assess what data you actually have and whether it supports the goal
Baseline model — a first working version to validate the approach quickly
Iteration — tuning and testing against real evaluation metrics
Integration — wiring the model into your product or workflow via API
Handoff — documentation, retraining pipeline, and a walkthrough
laptop. Whether that's a recommendation system, a churn or risk predictor, a forecasting
model, or a classifier, we take it from your raw data to something integrated into your
actual product or workflow.
What you'll get
A trained model built on your data, with clear evaluation metrics (not vibes)
A clean pipeline for retraining as new data comes in
An API or integration point so the model plugs into your existing product
Documentation covering assumptions, limitations, and how to monitor performance over time
A plain-language readout of what the model can and can't reliably do
Our process
Data audit — we assess what data you actually have and whether it supports the goal
Baseline model — a first working version to validate the approach quickly
Iteration — tuning and testing against real evaluation metrics
Integration — wiring the model into your product or workflow via API
Handoff — documentation, retraining pipeline, and a walkthrough
Machine Learning Tools
ChatGPT, Deeplearning4j, Keras, NumPy, Open Neural Network Exchange, OpenCV, pandas, PyMC, Python, Python Scikit-Learn, PyTorch, R, RapidMiner, scikit-learn, SciPy, Scrapy, SQL, TensorFlow, Vertex AI, XGBoostWhat's included $35,000
These options are included with the project scope.
$35,000
- Delivery Time 50 days
- Number of Revisions 0
- Number of Model Variations 5
- Number of Scenarios 3
- Number of Graphs/Charts 20
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
About Zohaib
Machine Learning & Agentic AI Engineer| Co-Founder, Zyftora
Muzaffargarh, Pakistan - 2:42 pm local time
I’m an AI Developer, AI Engineer, and fractional CTO with 9+ years in Machine Learning and software architecture. My work focuses on building AI-powered products that move from idea to working MVP in 3-7 weeks using a structured delivery approach.
As a co-founder of Zfytora ai solutions, a full-cycle AI and custom software development company, I lead teams that turn AI strategy into deployed systems - from data pipelines and LLM orchestration to scalable backend architecture and enterprise integrations.
🚀 Core Focus - AI Agent Consulting & Delivery
I provide consulting and implementation for agentic AI systems that observe, reason, and act across business workflows. This includes:
• AI Agents & Autonomous Workflows
• LLM-powered Products and Copilots
• RAG Systems and Knowledge AI
• AI Orchestration Architectures
• AI Integration into existing platforms
• AI MVP validation and architecture design
My approach combines strategy, architecture, and delivery - helping companies avoid costly overengineering and ship production-ready AI faster.
🧠 What I Deliver
• AI Consulting and Technical Strategy
• Agentic AI System Design
• Generative AI Development
• Machine Learning and Predictive Analytics
• AI App Development and Automation
• NLP, Computer Vision, and Data Science
• Enterprise AI Integration and Modernization
I work across Healthcare, FinTech, Logistics, Real Estate, and E-commerce, building systems that improve operations, reduce manual work, and unlock new revenue streams.
Our work includes:
• AI MVPs in 4–8 weeks using structured delivery methodology
• HIPAA / SOC2 / GDPR-ready solutions
• AI integration with ERP, CRM, and legacy systems
• Dedicated AI teams and fractional CTO leadership
⚙️ Technologies
Python, TensorFlow, PyTorch, LangChain, LLM APIs (OpenAI, Claude, Gemini), AWS SageMaker, Vertex AI, Docker, Kubernetes, MLOps pipelines, vector databases, real-time AI systems.
If you’re looking for a partner who can design the right AI solution and actually ship it, let’s talk
Steps for completing your project
After purchasing the project, send requirements so Zohaib can start the project.
Delivery time starts when Zohaib receives requirements from you.
Zohaib works on your project following the steps below.
Revisions may occur after the delivery date.
Client purchases the project and sends requirements.