Intelligent Book Recommender
A recommendation engine using KNN and collaborative filtering to suggest personalized book selections based on user preferences.
AI Engineer specializing in machine learning, deep learning, and production-ready intelligent solutions. I turn complex data into systems that drive measurable results.
In a world drowning in data, most businesses struggle to extract real value. They have the information but lack the intelligence to act on it.
That's where I come in. I'm Sudais Khalid — an AI Engineer who bridges the gap between raw data and intelligent decision-making. I don't just build models; I build solutions that work in the real world.
My approach is simple: understand the problem deeply, design the right solution, and deliver systems that are not just accurate but actually usable and scalable.
End-to-end AI solutions from concept to deployment
Custom ML models for prediction, classification, and regression. From data preprocessing to model optimization — I handle the complete pipeline.
Neural networks for complex pattern recognition. Computer vision, natural language processing, and advanced AI systems that understand context.
Full-stack AI applications ready for production. APIs, web interfaces, and scalable architectures that integrate seamlessly with your workflow.
Transform messy data into ML-ready pipelines. Feature engineering, data cleaning, and optimization for maximum model performance.
Many AI projects fail not because of bad algorithms, but because of bad understanding. I take time to understand your actual problem before writing a single line of code.
Not just Jupyter notebooks — real, deployable solutions
No jargon — just clear explanations and regular updates
Every project tied to measurable business outcomes
class AIEngineer:
def __init__(self):
self.name = "Sudais Khalid"
self.role = "AI Engineer"
self.skills = [
"Python", "TensorFlow",
"PyTorch", "Scikit-learn",
"Flask", "Docker"
]
def build(self, problem):
solution = self.analyze(problem)
return self.deploy(solution)
# Ready to solve your AI challenges
Real projects with real impact
A recommendation engine using KNN and collaborative filtering to suggest personalized book selections based on user preferences.
Real-time emotion detection from speech with interactive visualizations. Built with deep learning and deployed as a Flask web app.
ML model that predicts diseases based on patient medical history and symptoms with high accuracy.
AI-powered prediction model that forecasts match outcomes based on team odds and historical performance.
Have an AI project in mind? Whether it's a complex machine learning challenge or a simple automation task, I'd love to hear about it.