Jun 2024 – Dec 2025 · 1 yr 6 mos · Austin, Texas, United States · Remote

Jun 2023 – Mar 2024 · 9 mos · Lakewood, Colorado, United States · Remote

• Led end-to-end development of MLOps pipeline in Databricks, incorporating automated feature engineering, HyperOpt for hyperparameter tuning, and MLflow for model tracking and versioning, achieving a 30% faster deployment cycle and a 20% increase in model performance.
• Developed and deployed AutoML Regression model on Azure Databricks for predictive maintenance in 80 lab devices and 120 field devices using Delta Live Tables for real-time streaming of device data, reducing unplanned downtime by 15%.
• Developed an unsupervised ML solution using Python, TensorFlow, and Azure, to detect anomalies in periodic data collected by medical devices, employing k-means clustering and autoencoder models to identify crucial features and devices for targeted maintenance.
• Collaborated closely with domain experts and cross functional teams to identify relevant predictors and refine the model architecture, ensuring alignment with business objectives and operational constraints.

Mar 2023 – Jun 2023 · 3 mos · College Station, Texas, United States · On-site

• Designed and developed a comprehensive suite of Power BI dashboards for the Engineering Honors Program to track over 500 student data points
• and program performance, allowing for data-driven decision making.
• Implemented automated data pipelines using Python and SQL to seamlessly integrate disparate data sources.

Oct 2019 – Jul 2022 · 2 yrs 9 mos

• Led 3 internal teams (20 associates) to launch a portfolio of ETL tools to establish enterprise-wide domain-centric data lake, optimizing budget
• allocation and decreasing costs by 37%; defined coding standards and design patterns.
• Spearheaded Unity Catalog and Delta Lake integration using Medallion Architecture, enhancing data reliability and scalability for a 500+ TB data lake,
• optimizing storage and management, and improving data processing speed by 30% across the organization.
• Migrated data warehouse from on-premises to cloud (AWS), reducing operational costs by 30% annually for a $50M project.
• Collaborated with Global head of Enterprise Data Management (EDM) to create an enterprise Source to Target Mapping (STTM) portal utilizing AWS
• Lambda, DynamoDB, and Dash, leveraging data visualization to cut down resource utilization by $2M.
• Trained 50+ new grads on various technologies, won “Star performer award” 5 times, and achieved 2 fast tracked promotions.

Aug 2018 – Oct 2019 · 1 yr 2 mos

• Ingested data from disparate data sources using Salesforce API, JDBC, and SQL to create comprehensive data views for global tender managers across 150 countries, driving revenue growth of $830K in 2019 through strategic planning.
• Designed and rolled out an automated unit testing framework and integrated code coverage using Pytest to comprehensively flag and report failed
• test cases, raising detection rate by ~70%.

Jan 2018 – Jul 2018 · 6 mos

• Developed an IOS App to enable on-field employees to align their assignments according to their target incentive using
• Xcode, Swift, Php and MySql