Puneet Goel

About Puneet Goel

ML Engineer/Data Architect with 20 years of experience in building, maintaining, and improving data infrastructure. Adept at understanding business processes related to data within the complex components of a modern data stack and translating business requirements into actionable items. Strong experience in technical delivery of data intensive solutions.• Machine Learning Engineering• MLOps• Data Engineering• Data Infrastructure Engineering• Data Governance• Data Streaming• Performance Tuning and Management

Experience

1. Vice President - Principal Ml Engineer

   Citizens

   Jan 2022 — Present · Charlotte, NC, US

   Machine Learning Engineering and MLOps Participate in detailed technical design, development, and implementation of machine learning applications. Focus on the operations and management of machine learning models, algorithms, and processes. Develop platform capabilities and frameworks to standardize and automate deployment of ML models and ML pipelines. Collaborate with stake holders such as data scientists, data engineers, application engineers to deploy and monitor ML pipelines and models. Develop CI/CD pipelines for continuous integration and delivery of ML models. Ensure the use of standards, governance and best practices in ML pipeline monitoring and ML model monitoring, and adherence to model and data governance standards. Mentor, motivate, influence, drive innovation, and coach broader technical team. Provide technical and solution guidance to the team.Tools: AWS Sagemaker AI, H2O.ai, Jenkins, Nexus, Bitbucket, Autosys, AWS ECRTalend Big Data and Infosphere Information Server Platform Administrator Deploy, maintain, and support, the Data and Analytics Infrastructure at the bank. Contribute to application code base and architecture with a focus on optimization for performance, reliability, scalability, security, and cost. Implement CI/CD best practices, deployment pipelines and test automation frameworks to enable frequent, high-quality releases. Design and develop operational tools and services needed to effectively operate system components. Proactively and continuously drive system wide quality improvements by undertaking thorough root cause analysis for major incidents with component engineering teams. Guide, grow and train, in a capacity as Subject Matter Expert, agile engineering teams to optimize service quality and ensure adoption of operational best practices.Technologies: Talend Big Data, Infosphere Information Server, AWS, Python, Unix shell scripting, Jenkins, Autosys

Education

• Guru Gobind Singh Indraprastha University

  MCA, Computers

  2002 — 2005

• Delhi University

  BA(H) Maths, Mathematics

  1998 — 2002

Skills

• Oracle
• Requirements Analysis
• Obiee
• Informatica
• Data Integration
• Quality Assurance
• Etl
• Enterprise Software
• Epm
• Data Warehousing
• Software Project Management
• Datastage
• Analytics
• Datastage Administration
• Business Intelligence
• Pl/Sql
• Performance Tuning
• Sdlc