You will get machine learning and data science for your business problem
Project details
A model in a notebook is a demo. A model behind an API is a business asset. I deliver the second one.
I'm an AI systems architect & CTO with 6+ years of engineering — 4+ of them building production AI. My deployed models include a 92%-accurate movement classifier for medical wearables and a fraud detector that classified 50,000+ ads at 94% accuracy.
WHAT YOU GET
• Honest feasibility check first — if ML is overkill, I'll tell you
• Data cleaning, feature engineering, EDA
• Custom model: classification, regression, forecasting, NLP, clustering
• Rigorous evaluation report (accuracy, precision/recall, confusion matrix)
• Deployment as a FastAPI + Docker API you can call from any app
• Plain-English documentation your team can actually use
• Full source code and trained model files
TYPICAL PROJECTS
Churn & lead scoring, demand forecasting, fraud/anomaly detection, text classification, recommendation systems, sensor/time-series analytics.
HOW IT WORKS
Message me a description of your data + goal → I reply with an honest assessment, approach, and fixed quote.
💬 Not sure if your data is enough? Ask me first — free advice.
I'm an AI systems architect & CTO with 6+ years of engineering — 4+ of them building production AI. My deployed models include a 92%-accurate movement classifier for medical wearables and a fraud detector that classified 50,000+ ads at 94% accuracy.
WHAT YOU GET
• Honest feasibility check first — if ML is overkill, I'll tell you
• Data cleaning, feature engineering, EDA
• Custom model: classification, regression, forecasting, NLP, clustering
• Rigorous evaluation report (accuracy, precision/recall, confusion matrix)
• Deployment as a FastAPI + Docker API you can call from any app
• Plain-English documentation your team can actually use
• Full source code and trained model files
TYPICAL PROJECTS
Churn & lead scoring, demand forecasting, fraud/anomaly detection, text classification, recommendation systems, sensor/time-series analytics.
HOW IT WORKS
Message me a description of your data + goal → I reply with an honest assessment, approach, and fixed quote.
💬 Not sure if your data is enough? Ask me first — free advice.
Machine Learning Tools
AnyLogic, Azure Machine Learning, BERT, Databricks Platform, Deeplearning4j, Google AutoML, Keras, MLflow, NumPy, NVIDIA AI Platform, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Scrapy, SQL, TensorFlowWhat's included
| Service Tiers |
Starter
$150
|
Standard
$450
|
Advanced
$950
|
|---|---|---|---|
| Delivery Time | 5 days | 12 days | 21 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Number of Model Variations | 1 | 2 | 5 |
Number of Scenarios | 2 | 4 | 6 |
Number of Graphs/Charts | 10 | 20 | 30 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
About Qalab Hassnain
AI Engineer | Full-Stack Developer | Cloud & DevOps | Computer Vision
Rawalpindi, Pakistan - 10:33 pm local time
I’m Qalb Hassnain Agha AI Engineer and Full-Stack Developer with 6+ years of experience building intelligent, scalable, cloud-ready products for startups and enterprises.
I help businesses turn ideas into production-grade AI systems, modern apps, and automated digital platforms.
AI & Machine Learning Expertise
✔ Generative AI – Image & text generation, custom LLM pipelines (ChatGPT, Gemini, LLaMA, Diffusion Models)
✔ Computer Vision – Object detection, OCR, pose estimation, tracking, visual analytics
✔ NLP & LLM Fine-Tuning – Chatbots, text classification, summarization, sentiment, RAG pipelines
✔ AI for IoT & Wearables – Real-time motion tracking, gait analysis, biosensor analytics
✔ Classical ML – Forecasting, clustering, predictive modeling
Full-Stack & Mobile Development
✔ Backend – Python (FastAPI, Flask, Django), .NET Core
✔ Frontend – React.js, Next.js, TailwindCSS
✔ Mobile Apps – Flutter (Android & iOS), Firebase integration
✔ Databases – SQL Server, PostgreSQL, MongoDB, Firebase
Cloud, DevOps & Scalable Deployment (New!)
I design and deploy cloud-ready, enterprise-scale AI applications.
✔ Azure – App Services, Functions, Blob Storage, IoT Hub, AKS
✔ AWS – EC2, Lambda, API Gateway, S3, DynamoDB, CloudWatch
✔ Google Cloud – Vertex AI, Cloud Functions, Firestore
✔ CI/CD Pipelines – GitHub Actions, Azure DevOps, Dockerized deployments
✔ Containerization & Scaling – Docker, Kubernetes, GPU-accelerated inference
✔ MLOps – Model versioning, pipelines, monitoring, production rollout
AI-Powered Solutions & Automation
✔ Intelligent automation tools for web, mobile, & enterprise systems
✔ Real-time audio/video sensor AI for sports & health analytics
✔ E-commerce automation: price trackers, demand forecasting, recommendation engines
✔ End-to-end custom AI R&D for unique business challenges
Why Work With Me?
✔ End-to-end delivery — UI/UX → Development → AI → Cloud Deployment
✔ Corporate-grade engineering with clean, scalable code
✔ Experience as CTO → strong product & strategy mindset
✔ Solutions designed for long-term scalability, not quick fixes
✔ Responsive, reliable, and committed to high-quality delivery
💬 Let’s Build Something Amazing
I don’t just write code, I build intelligent, impactful systems that drive real business results.
If you want to integrate AI into your business, build a modern full-stack app, or deploy an AI solution to the cloud…
I’d love to help.
Feel free to message me , let’s turn your idea into reality.
Steps for completing your project
After purchasing the project, send requirements so Qalab Hassnain can start the project.
Delivery time starts when Qalab Hassnain receives requirements from you.
Qalab Hassnain works on your project following the steps below.
Revisions may occur after the delivery date.
I will build, train, and deploy custom machine learning models
A model in a notebook is a demo. A model behind an API is a business asset. I deliver the second one.