Develop a fully automated Machine Learning pipeline using CI/CD. Train, Test, Monitor, and Update the ML system automatically according to its metrics. Integrate or Develop an Intelligent ML System into the system for better ROI, efficient resource utilization, better user experience, and predict organization's future operations.
About me
As a professional AI and ML Engineer, I specialize in developing and deployingMachine Learning Models and AI Solutions that drive business value. With a strong foundation in Data Science, I leverage advanced algorithms and techniques to extract insights from data, automate processes, and create intelligent systems. My expertise includes MLOps, ensuring seamless integration and continuous delivery of ML models, as well as scalable and secure API Development for AI/ML Applications. I am dedicated to delivering innovative solutions that enhance operational efficiency and support Data-Driven Decision-Making.
MLOps
Data Science
AI Development
AI/ML Integration
API Development
Data Analysis
Recent Works
This project aims to solve the Jigsaw Unintended Bias in Toxicity Classification problem from a Kaggle competition hosted by Jigsaw and Google's Conversation AI team. The objective is to build machine learning models that can detect toxicity in online conversations while minimizing unintended bias, particularly regarding identity terms.
Get in Touch
Experienced MLOps Engineer skilled in deploying and maintaining machine learning models, ensuring scalability, and optimizing workflows.