Bridging AI research with real-world impact through Python development, machine learning expertise, and a passion for environmentally conscious AI solutions.
Hi, I'm Zahed Shaikh — a Machine Learning Practitioner and Agentic AI Enthusiast passionate about building intelligent systems that create real impact.
My journey into AI began with curiosity about how machines learn and evolve. Over time, I've worked on projects ranging from fraud detection to healthcare AI and customer segmentation, combining research, experimentation, and creativity to design solutions that matter.
I believe in blending technical rigor with human-centered design. For me, AI is not just about algorithms — it's about solving problems, making technology accessible, and shaping a future where AI works seamlessly with people.
Beyond development, I enjoy exploring agentic AI systems, experimenting with tools like CrewAI, Pinecone, and large language models, and pushing boundaries of what's possible with automation and intelligence.
When I'm not coding or designing workflows, you'll find me diving into tech news, AI research, and creative projects — always seeking inspiration from both innovation and everyday life.
An AI-powered health diagnosis system that analyzes user symptoms through text or voice input to predict possible diseases with confidence levels.
A clustering-based system that groups customers into meaningful segments to uncover behavior patterns and enable data-driven marketing.
A machine learning solution that detects and filters fraudulent, spam, and phishing messages to enhance digital communication safety.
A recruitment-focused tool that uses NLP and ML to analyze resumes and automatically rank candidates based on job relevance.
I'm available for AI/ML projects, technical consultations, and research collaborations. Reach out to discuss how we can solve complex problems with machine learning.