Saharsh Reddy Kallu
Machine Learning Engineer
- Role
- Machine Learning Engineer at Sterling 5, Inc
- Location
- Cincinnati, OH, US
- LinkedIn followers
- 500 followers
About Saharsh Reddy Kallu
Cloud FinOps Engineer focused on one outcome: making cloud spend efficient, predictable…
Experience
Machine Learning Engineer
Feb 2025 — Present · US
Led end-to-end development of supervised ML models using scikit-learn, LightGBM, and XGBoost, enhancing churn prediction accuracy by 12%, fraud detection recalls by 18%, and marketing campaign ROI through optimized targeting strategies. • Designed and orchestrated robust, modular ETL workflows with SQL, dbt, and Apache Airflow, integrating multisource data from PostgreSQL, BigQuery, and AWS S3 into scalable, production-grade feature pipelines. • Deployed scalable, low-latency inference services with FastAPI, Docker, AWS Lambda, and EC2, enabling both serverless and containerized ML serving. • Implemented model performance tracking using SHAP, W&B, and Matplotlib, enabling transparent explainability reports for stakeholders and compliance. • Integrated structured and unstructured datasets from Snowflake and MongoDB to power behavioral segmentation, customer lifetime value (CLV) models, and targeted marketing. • Automated hyperparameter tuning and experiment tracking using W&B, reducing model iteration cycles by 30% and ensuring reproducibility. • Designed A/B tests and experimental frameworks for feature rollout evaluation, applying statistical significance testing and causal inference techniques to validate impact. • Delivered interactive analytics dashboards in Plotly Dash and Tableau, translating complex model outputs into actionable insights for non-technical stakeholders. • Established and enforced coding standards, version control practices, and reproducibility protocols across ML projects, ensuring maintainable, production-ready code and streamlined team collaboration. • Authored audit-ready model documentation, covering assumptions, risks, evaluation metrics, and deployment protocols in line with Agile delivery practices.
Education
University of North Texas
Master's degree, Business Analytics
Chaitanya Bharathi Institute Of Technology
Bachelor's degree, Electronics and Communication Engineering
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