Neelam Sharma

About Neelam Sharma

Innovative and visionary leader in machine learning operations (MLOps), with a proven track record of scaling and optimizing production-ready machine learning models. Spearheaded cross-functional teams to deliver transformative projects, seamlessly integrating data science and engineering to ensure efficient and reliable ML solution deployment. Pioneered process improvements and fostered a culture of innovation through strategic planning and collaborative team efforts.

Experience

1. Engineering Manager

   Nordstrom

   Mar 2022 — Present · Seattle, WA, US

   MLOps Leadership -> Proven track record in leading and mentoring MLOps teams, driving successful ML initiatives, and fostering a collaborative culture.Accelerated ML Model Deployment ->Successfully led the development and implementation of innovative tools and solutions that empowered data scientists to train and host models at scale, significantly reducing Time To Production.Streamlined ML Workflow -> By effectively segregating engineering and data science responsibilities, enabled data scientists to focus on model development while providing them with the necessary tools for 1-click deployment of ML pipelines via CI/CD workflows templates with Vertex and EMR as compute target.Improved Model Governance ->Ensured data quality, governance, and compliance with engineering standards within JWN\'s ML operations. Successfully mentored the design of ML pipelines, collecting MLOps metrics at each stage of the ML workflow, thus optimizing operational processes with high-quality ML models in production.Scalable ML Infrastructure -> Facilitated robust and scalable ML infrastructure that supported the training and deployment of large-scale models at JWN, ensuring efficient resource utilization and optimal performance.Increased ROI -> Through simplified operationalization processes and enhanced model evaluation, enabled data-driven decision-making at JWN by providing actionable insights and predictions based on ML models, and helped the organization maximize the return on investment in ML projects, enabling us to invest more in innovative initiatives.

Education

• Punjab Technical University

  Bachelor of Technology (B.Tech.), Computer Science

  2002 — 2006

• University of Washington

  Machine learning/Deep learning Certification

Skills

• Java Enterprise Edition
• Etl
• Shell Scripting
• Databases
• Java
• Database Design
• Data Analysis
• Sdlc
• Business Intelligence
• Sql
• Tableau
• Aws Redshift
• Data Warehousing
• Pl/Sql
• Data Warehouse Architecture
• Microsoft Sql Server
• Requirements Gathering
• Software Development Life Cycle (Sdlc)
• Oracle
• Requirements Analysis
• Unix