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Ai Ml Engineer @Zion Cloud Solutions
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WORK HISTORY
Ai Ml Engineer @Zion Cloud Solutions
Deerfield, IL, US
I’m currently focused on building practical AI/ML solutions that make working with data feel simple and intuitive. My work spans NLP, data automation, and conversational AI—using Azure OpenAI, Cognitive Services, and Speech APIs to transform natural language and voice inputs into meaningful insights. I build systems that allow users to query datasets effortlessly, automate analytics workflows, and access information without needing technical expertise. I also create backend components that support interactive data exploration and help teams interpret complex datasets through clean, intuitive visual outputs.Alongside this, I design and maintain data pipelines that process structured and unstructured data, power healthcare and business intelligence use cases, and support machine learning models deployed on Azure. Whether it’s extracting key metrics, running analytics at scale, or presenting project outcomes in clear and compelling ways, my goal is always to bridge the gap between raw data and real business impact. I’m passionate about crafting AI-driven solutions that are not only intelligent but genuinely useful and accessible to the people who rely on them.
EDUCATION
Rivier University
Master of Science - MS
PRASAD V POTLURI SIDDHARTHA INSTITUTE OF TECHNOLOGY
Bachelor of Technology - BTech
ABOUT THARUN REDDY
As an AI/ML Data Engineer focused on intelligent automation, NLP-driven analytics, and cloud-native data systems, my work centers on building solutions that transform raw data into meaningful, accessible insights. I combine hands-on engineering with a product-thinking mindset—designing systems that turn natural-language questions into SQL, automate decision workflows, and make enterprise data easier for business teams to understand and act on. Using Azure OpenAI, Cognitive Services, and Speech APIs, I create intuitive conversational and voice-enabled interfaces that simplify how users interact with information.My approach begins with understanding the business problem and working backward to design scalable, reliable, and future-ready AI systems. I build and maintain end-to-end data pipelines that process both structured and unstructured data, power intelligent dashboards, and support predictive modeling in cloud environments. Whether I’m enabling seamless analytics through NLP, deploying ML models on Azure, or architecting backend components that connect data to real-world decisions, I focus on delivering solutions that are practical, secure, and aligned with measurable business outcomes. I’m passionate about bridging the gap between data and decision-making—creating AI systems that help organizations operate faster, smarter, and more confidently in a data-driven world.
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