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Lakshmi. Prasanna.
Software Engineer @T-Mobile
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WORK HISTORY
Software Engineer @T-Mobile
Dallas, TX, US
Developed and maintained scalable backend services using Python and REST APIs to support real-time telecom data processing and analytics.• Designed and implemented ETL pipelines using Python, Pandas, and SQL to process large-scale customer usage and network data.• Integrated machine learning models (Scikit-learn, TensorFlow) into backend systems to support customer churn prediction and data-driven insights.• Optimized data processing workflows and SQL queries to improve performance and reduce pipeline execution time.• Containerized applications using Docker and contributed to CI/CD pipelines to enable reliable and efficient deployments.• Collaborated with cross-functional teams, including data engineers, analysts, and product stakeholders, to deliver scalable data solutions.• Ensured data quality and reliability through validation checks, logging, and monitoring practices.
EDUCATION
Stanley College of Education
Bachelor of Engineering, Computer Science
University of North Texas
Master of Science, Artificial Intelligence
ABOUT LAKSHMI. PRASANNA.
Software Engineer with 2+ years of experience building scalable backend systems and data-driven solutions using Python. I specialize in developing REST APIs, designing ETL pipelines, and working with large datasets to enable real-time analytics and business insights.Currently, I work at T-Mobile, where I build backend services and data pipelines to process telecom data and support analytics systems. My work includes integrating machine learning models for use cases like customer churn prediction and optimizing data workflows for performance and reliability.Previously, at Sonata Software, I developed ETL pipelines, built REST APIs using Flask, and improved database performance through SQL optimization. This experience strengthened my foundation in backend engineering and efficient data processing.I have a strong foundation in data structures, algorithms, and object-oriented programming, along with hands-on experience in cloud and DevOps tools such as AWS, Docker, and CI/CD pipelines.I’m particularly interested in backend engineering roles where I can design scalable systems, solve complex problems, and contribute to high-impact, real-world applications.
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