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I am an AI/ML Engineer with 3+ years of experience designing and deploying scalable machine learning solutions across enterprise environments. I specialize in Python, SQL, scikit-learn, the OpenAI API, and Hugging Face Transformers, with hands-on work on cloud AI platforms such as Microsoft Azure, AWS, and Google Cloud.\n\nI have a proven track record of improving model accuracy, accelerating deployment cycles, and delivering AI-driven automation that enhances operational efficiency and business decision-making. I thrive in cross-functional teams, driving end-to-end ML lifecycle management, feature engineering, predictive analytics, and impactful collaboration with product, engineering, and business stakeholders.…I am an AI/ML Engineer with 3+ years of experience designing and deploying scalable machine learning solutions across enterprise environments. I specialize in Python, SQL, scikit-learn, the OpenAI API, and Hugging Face Transformers, with hands-on work on cloud AI platforms such as Microsoft Azure, AWS, and Google Cloud.\n\nI have a proven track record of improving model accuracy, accelerating deployment cycles, and delivering AI-driven automation that enhances operational efficiency and business decision-making. I thrive in cross-functional teams, driving end-to-end ML lifecycle management, feature engineering, predictive analytics, and impactful collaboration with product, engineering, and business stakeholders.

Pranitha Airneni

AI Engineer, Data Scientist, Full Stack Developer, +2

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I am an AI/ML Engineer with 3+ years of experience designing and deploying scalable machine learning solutions across enterprise environments. I specialize in Python, SQL, scikit-learn, the OpenAI API, and Hugging Face Transformers, with hands-on work on cloud AI platforms such as Microsoft Azure, AWS, and Google Cloud.\n\nI have a proven track record of improving model accuracy, accelerating deployment cycles, and delivering AI-driven automation that enhances operational efficiency and business decision-making. I thrive in cross-functional teams, driving end-to-end ML lifecycle management, feature engineering, predictive analytics, and impactful collaboration with product, engineering, and business stakeholders.…I am an AI/ML Engineer with 3+ years of experience designing and deploying scalable machine learning solutions across enterprise environments. I specialize in Python, SQL, scikit-learn, the OpenAI API, and Hugging Face Transformers, with hands-on work on cloud AI platforms such as Microsoft Azure, AWS, and Google Cloud.\n\nI have a proven track record of improving model accuracy, accelerating deployment cycles, and delivering AI-driven automation that enhances operational efficiency and business decision-making. I thrive in cross-functional teams, driving end-to-end ML lifecycle management, feature engineering, predictive analytics, and impactful collaboration with product, engineering, and business stakeholders.

Available to hire

I am an AI/ML Engineer with 3+ years of experience designing and deploying scalable machine learning solutions across enterprise environments. I specialize in Python, SQL, scikit-learn, the OpenAI API, and Hugging Face Transformers, with hands-on work on cloud AI platforms such as Microsoft Azure, AWS, and Google Cloud.\n\nI have a proven track record of improving model accuracy, accelerating deployment cycles, and delivering AI-driven automation that enhances operational efficiency and business decision-making. I thrive in cross-functional teams, driving end-to-end ML lifecycle management, feature engineering, predictive analytics, and impactful collaboration with product, engineering, and business stakeholders.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Advanced

Work Experience

AI/ML Engineer at ServiceNow

July 5, 2025 - Present

Architected enterprise-grade machine learning pipelines using Python, scikit-learn, Azure AI Services, and SQL, reducing model deployment cycles by 45% while supporting high-volume business operations. Engineered advanced feature engineering frameworks across structured and unstructured datasets, improving predictive model accuracy by 22% and increasing decision-making efficiency for key stakeholders. Developed AI-powered classification and regression solutions leveraging OpenAI API and Hugging Face Transformers, boosting automation coverage by 38% and reducing manual review efforts by 55%. Optimized model training and evaluation workflows through automated hyperparameter tuning and performance monitoring, decreasing training time by 40% while maintaining production-grade reliability. Implemented scalable cloud-based ML solutions on Microsoft Azure AI Studio and Cognitive Services, enabling processing of over 5 million records monthly with 99.8% system availability. Spearheaded cross-f

ML Engineer at Virtual Infotech Solution

April 20, 2021 - December 31, 2023

Built end-to-end machine learning models for customer segmentation, demand forecasting, and risk prediction, increasing forecasting precision by 25% and improving business planning outcomes. Designed robust data processing architectures using Pandas, NumPy, MySQL, and MongoDB, reducing data preparation efforts by 50% and improving analytics readiness across teams. Automated model deployment and validation workflows, shortening release timelines by 35% and ensuring consistent performance across multiple production environments. Leveraged clustering, decision trees, and classification algorithms to uncover actionable business insights, contributing to a 20% increase in campaign effectiveness and customer engagement. Integrated Azure Cognitive Services and Google Cloud AI capabilities into enterprise applications, enhancing intelligent automation adoption by 42% and improving service response accuracy. Modernized reporting ecosystems through Power BI, Tableau, and Excel-based dashboards,