Hi there, I’m Maheswari Adavi, an AI/ML engineer with around three years of hands-on research and industry experience delivering scalable ML and AI solutions. I specialize in Python, TensorFlow, PyTorch, NLP, and computer vision, with strong MLOps and cloud expertise across AWS, GCP, and Azure. I’m passionate about turning complex data into practical, real-world applications and continuously exploring innovative automation approaches. I thrive in collaborative environments where I can design end-to-end systems, optimize models, and automate data pipelines—from data wrangling and feature engineering to model deployment and monitoring. I enjoy turning insights into actionable business impact, building robust dashboards, and contributing to cross-functional teams to drive data-driven decisions.

Maheswari Adavi

Hi there, I’m Maheswari Adavi, an AI/ML engineer with around three years of hands-on research and industry experience delivering scalable ML and AI solutions. I specialize in Python, TensorFlow, PyTorch, NLP, and computer vision, with strong MLOps and cloud expertise across AWS, GCP, and Azure. I’m passionate about turning complex data into practical, real-world applications and continuously exploring innovative automation approaches. I thrive in collaborative environments where I can design end-to-end systems, optimize models, and automate data pipelines—from data wrangling and feature engineering to model deployment and monitoring. I enjoy turning insights into actionable business impact, building robust dashboards, and contributing to cross-functional teams to drive data-driven decisions.

Available to hire

Hi there, I’m Maheswari Adavi, an AI/ML engineer with around three years of hands-on research and industry experience delivering scalable ML and AI solutions. I specialize in Python, TensorFlow, PyTorch, NLP, and computer vision, with strong MLOps and cloud expertise across AWS, GCP, and Azure. I’m passionate about turning complex data into practical, real-world applications and continuously exploring innovative automation approaches.

I thrive in collaborative environments where I can design end-to-end systems, optimize models, and automate data pipelines—from data wrangling and feature engineering to model deployment and monitoring. I enjoy turning insights into actionable business impact, building robust dashboards, and contributing to cross-functional teams to drive data-driven decisions.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

Work Experience

Graduate Research Assistant at University of North Carolina at Charlotte
December 1, 2024 - November 18, 2025
Designed and built an interactive knowledge graph browser for biomedical data by integrating a Neo4j database with a React/TypeScript frontend, significantly improving data accessibility. Implemented NLP-driven search using LangChain and Ollama to translate user queries into Cypher, enhancing query efficiency and usability. Created dynamic graph visualizations with react-force-graph for real-time exploration and faster response times. Developed TailwindCSS-based UI components for a responsive and user-friendly experience. Optimized backend schema introspection and Cypher queries to reduce latency and improve secure connectivity. Managed end-to-end project lifecycle including requirements, architecture, development, testing, and deployment to ensure timely milestone delivery.
Data Scientist at PwC
December 31, 2023 - December 31, 2023
Led end-to-end analysis of large-scale policyholder data using SQL and Python (Pandas, NumPy) for robust data wrangling, feature engineering, and EDA. Designed and deployed scalable ML models (Logistic Regression, Random Forest, XGBoost) to forecast churn and segment customers, enabling a 20% uplift in targeted retention. Executed rigorous A/B testing and statistical inference to evaluate dynamic pricing and renewal offers, resulting in a 15% increase in renewal rates. Delivered executive insights via Tableau and Power BI dashboards, and automated ETL workflows with Python and SQL to integrate multi-source data into a centralized AWS data lake (S3, Glue, Redshift). Continuously optimized model performance with cross-validation and ROC-AUC analysis, improving robustness by 10%.

Education

Master of Science at University of North Carolina
August 1, 2024 - December 31, 2025
Bachelor of Engineering at Chennai Institute of Technology
July 1, 2020 - April 30, 2024

Qualifications

AWS Certified Solutions Architect – Associate
January 11, 2030 - November 18, 2025
Microsoft Azure Fundamentals (AZ-900)
January 11, 2030 - November 18, 2025
AI Programming with Python Nano degree (AWS x Udacity)
January 11, 2030 - November 18, 2025

Industry Experience

Software & Internet, Financial Services, Professional Services, Retail, Education