I am a Web Developer & Solutions Engineer with 17 years of hands-on experience in designing, building, and maintaining high-performing web applications. Over nearly two decades, I’ve worked across diverse industries, delivering scalable solutions using modern frameworks and technologies.
Currently, I’m expanding into AI development, integrating machine learning and intelligent automation into web systems to create smarter, more flexible digital solutions.
What sets me apart is my ability to bridge technical expertise with business needs—not just coding applications, but architecting end-to-end solutions that solve real-world problems, optimize workflows, and deliver measurable results.
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Project Overview
This project demonstrates how to integrate AI-powered features into Python-based applications. It covers end-to-end workflows—from setting up models, connecting APIs, to embedding AI functionality into web apps, data pipelines, or business solutions.
The goal is to show how developers can augment existing applications with AI for tasks like:
Natural Language Processing (chatbots, summarization, search)
Computer Vision (image recognition, classification, OCR)
Predictive Analytics (forecasting, recommendations)
Workflow Automation (decision-making, anomaly detection)
Technology Stack
Python 3.x
AI/ML Libraries: TensorFlow, PyTorch, Scikit-learn, OpenAI API (or other LLMs)
Data Processing: Pandas, NumPy
Web Integration: Flask / FastAPI
Database: MongoDB / PostgreSQL
Deployment: Docker, AWS/GCP/Azure
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