Building intelligent systems and data driven solutions. Specializing in machine learning, predictive modeling, and scalable AI applications.
AI/ML Engineer passionate about creating data driven solutions and intelligent systems. Experienced in end-to-end ML pipelines from data preprocessing to deployment and monitoring.
Develop predictive models, classification systems, and recommendation engines using Scikit-learn, TensorFlow, and PyTorch.
Data analysis, feature engineering, and statistical modeling to extract insights and drive decision-making.
Build web applications with AI/ML integration using Streamlit, Flask, and FastAPI for real world deployment.
Design and implement ETL pipelines, data warehouses, and scalable data infrastructure for AI systems.
Deploy and monitor ML models on cloud platforms (AWS, GCP) with CI/CD pipelines and model versioning.
Text classification, sentiment analysis, chatbots, and language models using transformer architectures.
I am an AI/ML Engineer passionate about building intelligent systems and data driven solutions. My expertise spans machine learning, deep learning, and data science, with a focus on creating predictive models and scalable AI applications.
I specialize in developing end-to-end machine learning pipelines - from data preprocessing and feature engineering to model development, deployment, and monitoring. My recent work includes healthcare prediction systems, natural language processing applications, and computer vision projects.
I believe in leveraging AI to solve real world problems and create positive impact through technology. With a strong foundation in mathematics, statistics, and programming, I approach each project with analytical rigor and practical implementation in mind.
A machine learning web application that predicts potential health risks using patient data. Built with Random Forest Classifier, Scikit-learn, and deployed with Streamlit.
Technologies: Python, Scikit-learn, Streamlit, Pandas, NumPy, Matplotlib
A modern, responsive website for an engineering company built with Next.js, TypeScript, and Tailwind CSS. Features include gallery, services, and contact forms.
Technologies: Next.js, TypeScript, Tailwind CSS, Vercel
Integrates OpenAI API with custom processing layers, SQLite conversation history, and caching. Tech: Python, OpenAI API, Flask, SQLite.
Deployed EC2 instances, VPC, security groups, and application deployment for high-availability data applications. Tech: AWS EC2, VPC, Nginx, IAM.