Bhavana Gollamudi
Milwaukee
Summary
Results-driven AI/ML Engineer with a proven track record at USAA, specializing in MLOps automation and predictive modeling. Expert in Python and data engineering, I enhanced model deployment efficiency and reduced workloads significantly. Adept at leading teams and fostering collaboration, I deliver innovative solutions that drive substantial business value.
Overview
7
7
years of professional experience
1
1
Certification
Work History
AI/ML Engineer
USAA
San Antonio
07.2024 - Current
- Architected and implemented an MLOps automation framework, accelerating model deployment cycles, sourcing from Snowflake, and staging in NetApp.
- Designed and deployed comprehensive model monitoring framework, automating reporting processes and reducing Data Scientist workload by 33%.
- Engineered predictive models using XGBoost, computer vision, and time series algorithms, generating projected business value exceeding $40 million.
- Optimized data/scoring pipelines for production environments, enhancing inference speed by 40% and reducing resource utilization.
- Built multiple model pipelines utilizing enterprise-grade model deployment infrastructure, using Git CI/CD pipelines, and containerized OpenShift or Airflow DAGs deployments, enabling scaling and version control.
- Implemented advanced data engineering solutions in Snowflake, optimizing warehouse utilization and role-based access control systems.
- Developed real-time data processing capabilities through Kafka producers with schema enforcement, enabling dynamic model updates.
Data Engineer
USAA
San Antonio
07.2021 - 07.2024
- Led high-performing team as Technical Lead for Bank File Data Quality initiatives, supporting 30+ internal teams.
- Engineered automated file data quality check pipelines in Python, processing vendor files with comprehensive validation.
- Orchestrated cross-functional training sessions to standardize implementation practices and enhance data integrity.
- Implemented monitoring solutions for 400+ file data quality jobs, optimizing performance and ensuring compliance.
- Developed innovative Python package that retrieved file schemas, enabling automated validation and reducing time by 60%.
- Architected robust data pipeline infrastructure using SQL Server and Netezza for seamless integration.
- Established comprehensive data validation protocols and documentation processes, cutting onboarding time by 40%.
Data Engineer
Gathi Analytics
San Antonio
04.2020 - 07.2021
- Engineered Python-based data quality validation framework for FFIEC compliance with automated breach detection.
- Developed templating system using Jinja and JSON to generate dynamic SQL queries across various databases.
- Designed enterprise-grade CI/CD pipeline utilizing Talon Batch Technology, Git workflows, and OpenShift deployments.
- Created modular Python utilities for automated table validation, reducing development time by 65%.
- Revolutionized documentation processes by developing a Python package for automatic source-to-target mapping from COBOL files.
- Built and optimized DataStage ETL jobs for mainframe-to-Netezza migrations, enhancing throughput.
Graduate Teaching Assistant
George Mason University
Fairfax
07.2020 - 01.2021
- Led the role of Graduate Teaching Assistant for IT 104 under Professor Irene Bruno, supporting introductory Python and statistics for undergraduates.
- Responsibilities included: evaluating weekly assignments and discussion board participation; providing academic support for students; generating weekly performance reports to track overall class progress.
Software Engineering Intern
Wells Fargo
Hyderabad, India
01.2019 - 06.2019
- Developed monitoring solutions for financial applications using ITRS and Splunk platforms.
- Created backend scripts to collect application health metrics and collaborated on dashboard visualizations.
- Implemented threshold-based alerting mechanisms to inform teams of performance metric deviations.
- Gained expertise in enterprise monitoring tools and financial application architecture, enhancing system reliability.
Software Trainee
Page Solutions
Hyderabad, India
04.2018 - 08.2018
- Executed data cleansing, transformations, and preliminary analysis to prepare datasets for churn model training using Python.
- Developed churn models for telecom sector utilizing Random Forest algorithm.
- Provided association rules to deliver insights on customer churn.
Education
Master of Science - Data Analysis Engineering
George Mason University
Fairfax, VA12-2020
Bachelor of Technology - Information Technology
JNTUH
Hyderabad, India05-2019
Skills
- Cloud and Data: AWS, Snowflake, NetApp, Netezza, SQL servers, SQL
- Tools and Operations: Control-M, OpenShift, Airflow, Domino, Tableau, Git, DataStage, Splunk, Jira
- Machine learning and AI: Python, R, Regression, SVM, Decision Trees, Random Forests, CNN, KNN, XGBoost, Naïve Bayes, Prompt Engineering, LangChain, RAG
Affiliations
- Women in Data Committee | USAA — Orchestrated networking events and professional development initiatives advancing female representation in data science
- USAA Bank Hackathon "WOW Factor" Award — Designed AWS-powered "FinZ" prototype tailored for Gen Z banking customers, recognized for innovation and technical excellence
- President, Women Protection Cell | GNITS, Hyderabad — Spearheaded campus-wide women's empowerment initiatives, implementing programs that measurably enhanced community safety and inclusion
- First Prize, Blockchain Research | ACUMEN Technical Symposium — Developed and presented award-winning technical research on blockchain applications at Vasavi College of Engineering (March 2018)
Certification
- AWS Cloud Practitioner
- Introduction to Gen AI (Google)
Timeline
AI/ML Engineer
USAA
07.2024 - Current
Data Engineer
USAA
07.2021 - 07.2024
Graduate Teaching Assistant
George Mason University
07.2020 - 01.2021
Data Engineer
Gathi Analytics
04.2020 - 07.2021
Software Engineering Intern
Wells Fargo
01.2019 - 06.2019
Software Trainee
Page Solutions
04.2018 - 08.2018
Master of Science - Data Analysis Engineering
George Mason University
Bachelor of Technology - Information Technology
JNTUH
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