# Sowmya Sree > Machine Learning & MLOps Engineer | Building Generative AI and Scalable ML Solutions | Architect of End-to-End AI Workflows | Cloud Deployment, CI/CD Pipelines, Python, and Automation Profile: https://flows.cv/sowmyasree About Me I'm Sowmya Sree, Machine Learning Engineer transforming data into actionable insights. I specialize in designing, deploying, and optimizing machine learning models that drive impactful business outcomes. I'm passionate about applying Machine Learning and MLOps best practices to build scalable, efficient, and secure systems that push the boundaries of innovation. What I Do I thrive at the intersection of machine learning, MLOps, and cloud solutions. My expertise includes deep learning, predictive analytics, and data preprocessing, ensuring that models are not only accurate but also ready for production. By integrating CI/CD pipelines with tools like Azure DevOps and Jenkins, I automate workflows and streamline ML deployments. I love the challenge of managing large datasets, building ETL pipelines, and ensuring the smooth, continuous operation of ML systems. My Impact • Deployed advanced machine learning models that significantly improved model accuracy and reduced training times. • Implemented robust MLOps pipelines, reducing manual work and increasing deployment frequency for ML solutions. • Designed and managed scalable ETL pipelines, improving data processing speed and model training efficiency. • Worked cross-functionally to integrate machine learning solutions into production, resulting in more efficient workflows and enhanced business insights. ## Work Experience ### Machine Learning Engineer @ Bank of America Jan 2024 Designed, deployed, and optimized machine learning models and pipelines, improving model performance, scalability, and automation across multiple environments. Implemented CI/CD pipelines with Jenkins and GitLab to automate model deployment across 3 environments, reducing manual errors by 40% and improving model F1 scores by 18% through tuning and validation techniques. Spearheaded end-to-end model monitoring with Grafana and Prometheus, enabling early detection and rapid mitigation of performance degradation, which led to increased model uptime across critical business services. ### Machine Learning Engineer @ Infosys Jan 2022 – Jan 2023 Helped improve how we deployed and monitored machine learning models, making the process smoother and more reliable for the team. Engineered real-time monitoring pipelines via Prometheus and MLflow, surfacing over 15 key performance indicators and slashing triage overhead by 60% through intelligent alerting on latency deviations and model drift. Orchestrated A/B testing infrastructure for live model benchmarking, empowering stakeholders with rapid, evidence-backed insights and shortening model rollout cycles. ### Data Scientist @ MAQ Software Jan 2021 – Jan 2022 Worked on cleaning and understanding customer data to find patterns that helped the team make better decisions. Architected feature extraction pipelines and leveraged advanced statistical methods on unstructured customer data to surface actionable patterns, driving a 20% boost in decision-making efficiency through predictive insight generation. ## Education ### Master's degree University of North Texas ### Bachelor of Technology - BTech Devineni Venkata Ramana & Dr. Hima Sekhar MIC College of Technology ## Contact & Social - LinkedIn: https://linkedin.com/in/sowmyasree - GitHub: https://github.com/Sowmya-5G4 - Email: mailto:sowmyamaddukuri3@outlook.com --- Source: https://flows.cv/sowmyasree JSON Resume: https://flows.cv/sowmyasree/resume.json Last updated: 2026-04-16