Machine Learning Engineer | MLOps | Generative AI
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I’m a Machine Learning Engineer with 4 years of experience in IT, specializing in model deployment, MLOps, and backend development with Python. I’ve worked on projects involving demand forecasting, NLP, and generative AI, with hands-on experience integrating RFID data and computer vision models.
I have 4 years of IT experience as a Machine Learning Engineer and Software Engineer. During this time, I’ve worked on projects like demand forecasting, NLP, generative AI, and RFID data integration. I’ve had the opportunity to contribute at companies like Grammarly and Flipkart, where I focused on deploying machine learning models, building scalable backend systems, and managing cloud infrastructure using GCP and AWS.
I’ve also been involved in designing system architecture, selecting the right tools, and implementing MLOps practices to streamline model deployment and monitoring.
I have a master’s degree in data science from the University of South Florida, where I built a strong foundation in machine learning, data analysis, and cloud technologies. Throughout my studies, I worked on projects involving AI, deep learning, and big data, which fueled my passion for creating practical, real-world solutions. This hands-on experience has been essential in designing and deploying scalable ML models in my professional career.