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Hi there! I'm Meghana Doddapuneni, an AI Engineer with 3+ years designing and deploying bespoke AI agents, predictive models, and workflow automation solutions that reduce manual intervention and drive measurable business impact. I am skilled in Python, TensorFlow, PyTorch, generative AI integration, and backend development, with a strong track record of independent delivery and cross-functional collaboration across distributed teams. I thrive on turning complex data problems into scalable solutions, from building ML pipelines on Databricks to integrating AI-driven workflows into existing business processes via RESTful APIs. I enjoy collaborating with product and analytics teams to deliver practical, high-impact results.…Hi there! I'm Meghana Doddapuneni, an AI Engineer with 3+ years designing and deploying bespoke AI agents, predictive models, and workflow automation solutions that reduce manual intervention and drive measurable business impact. I am skilled in Python, TensorFlow, PyTorch, generative AI integration, and backend development, with a strong track record of independent delivery and cross-functional collaboration across distributed teams. I thrive on turning complex data problems into scalable solutions, from building ML pipelines on Databricks to integrating AI-driven workflows into existing business processes via RESTful APIs. I enjoy collaborating with product and analytics teams to deliver practical, high-impact results.

Meghana Doddapuneni

AI Engineer, Data Scientist, Data Analyst, +2

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Hi there! I'm Meghana Doddapuneni, an AI Engineer with 3+ years designing and deploying bespoke AI agents, predictive models, and workflow automation solutions that reduce manual intervention and drive measurable business impact. I am skilled in Python, TensorFlow, PyTorch, generative AI integration, and backend development, with a strong track record of independent delivery and cross-functional collaboration across distributed teams. I thrive on turning complex data problems into scalable solutions, from building ML pipelines on Databricks to integrating AI-driven workflows into existing business processes via RESTful APIs. I enjoy collaborating with product and analytics teams to deliver practical, high-impact results.…Hi there! I'm Meghana Doddapuneni, an AI Engineer with 3+ years designing and deploying bespoke AI agents, predictive models, and workflow automation solutions that reduce manual intervention and drive measurable business impact. I am skilled in Python, TensorFlow, PyTorch, generative AI integration, and backend development, with a strong track record of independent delivery and cross-functional collaboration across distributed teams. I thrive on turning complex data problems into scalable solutions, from building ML pipelines on Databricks to integrating AI-driven workflows into existing business processes via RESTful APIs. I enjoy collaborating with product and analytics teams to deliver practical, high-impact results.

Available to hire

Hi there! I’m Meghana Doddapuneni, an AI Engineer with 3+ years designing and deploying bespoke AI agents, predictive models, and workflow automation solutions that reduce manual intervention and drive measurable business impact. I am skilled in Python, TensorFlow, PyTorch, generative AI integration, and backend development, with a strong track record of independent delivery and cross-functional collaboration across distributed teams.

I thrive on turning complex data problems into scalable solutions, from building ML pipelines on Databricks to integrating AI-driven workflows into existing business processes via RESTful APIs. I enjoy collaborating with product and analytics teams to deliver practical, high-impact results.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI Engineer at Wipro Technologies

December 1, 2020 - January 1, 2024

Built and deployed AI-driven data engineering pipelines using Azure Data Factory and PySpark on Databricks, processing 1M+ records monthly with 99.8% data integrity to support predictive model training and business analytics; engineered distributed feature pipelines for customer behavior analysis on Azure Databricks, improving classification model accuracy by 22% across business use cases; streamlined MLOps workflows with Azure DevOps, Docker, and MLflow, reducing deployment cycles by 40%; built and validated deep learning models (LSTM, TensorFlow) on sequential data achieving 82% validation accuracy; trained predictive models for churn and customer behavior (XGBoost, LightGBM, Random Forest) improving F1-score by 18%; integrated AI-driven solutions into RESTful backend APIs using Flask and FastAPI on Azure App Service with Redis caching; automated manual business workflows by delivering Power BI dashboards integrated with Azure SQL and Databricks outputs, reducing manual intervention

Data Science Intern at Cognizant

June 1, 2020 - November 1, 2020

Developed ML models for fraud detection and customer churn prediction using Scikit-Learn, TensorFlow, and Pandas; built end-to-end feature engineering and model evaluation pipelines; accelerated large-scale experiment runs by 40% on AWS SageMaker (S3, EC2); delivered interactive Tableau dashboards and Power BI reports for KPI monitoring.