Cloud & Data Engineering Leader, Cloud Architect, San Diego

Email: *****************@*****.*** Phone: 858-***-**** Location: San Diego, CA

Summary

At Salk, I provided user support for Cloud & Hybrid Computing in Life Sciences, enabling researchers with scalable computing solutions. I designed and implemented a cloud-based solution for semiconductor applications, optimizing performance, data management, and compute efficiency on AWS and Azure, including a successful migration from on-premises to the cloud.

My expertise spans data engineering for analytics, web applications, database design, and reporting, combined with hands-on technical management and leadership. In 2023, I received the Distinguished Innovation Award from Qualcomm’s Patent Office for developing the best Cloud Data Engineering and Operations Solution.

With 30 years of experience leading digital transformation in Qualcomm’s semiconductor hardware engineering business, I also managed the EDA Infrastructure team, driving efficiency and innovation in semiconductor design workflows.

Experience

Salk Institute (5/1/2024 – 9/1/2024)

Senior Research Cloud Computing Architect and Engineer

Provided user support and troubleshooting for Kubernetes environments, including workload management and optimization with Run:AI

Installed and configured Globus for secure and efficient data transfer.

Designed and implemented the database AWS-based applications for user access and data management.

AWS account cost management and savings.

Created and deployed containerized ( Docker, Singularity) applications to Kubernetes and Slurm for scalable computing.

Attend SDSC HPC and Data Science Summer Institute 2024 and Advanced Computing Training

Qualcomm (2019 – 1/1/2024)

Senior Staff Software Engineering – Data Engineering, ETL, Database Design and Modeling,

Architectural design of AWS cloud solutions delivering significant cost savings and reduced project turnaround time from months to weeks.

Continuous enhancements of data pipeline Architecture.

Developed several data analytics solutions for Qualcomm's semiconductor product and test engineering teams, leveraging AWS, Azure and On Prem Resources.

Western Electric Rules Control Charts

Foundry comparison Dashboard

Yield Analysis Dashboard

Designed a novel hybrid database architecture (SQL + NoSQL), optimizing data storage and ETL processes.

Managed the security of multiple AWS accounts in collaboration with the IT Cloud Team.

Led the hiring, training and management of a proficient data engineering team, fostering a collaborative and dynamic work environment.

Current working experience in the followings:

AWS Resources: Elastic Beanstalk, RDS, Aurora Serverless, S3, Glue, Athena, File Gateway, Grafana, Lambda, IAM, CDK, CloudFormation, CloudWatch, Redshift, Step Function, Batch, ECS.

Azure Resources; Power BI server, SQL Server.

Other Resources: PostgreSQL, Python/Django (ORM and Rest API), Spark, Git, Jenkins, Power BI, Excel, Tableau, TIBCO Data Virtualization, Linux Shell Scripting, Snowflake and SharePoint.

Qualcomm (1995 - 2019)

Manager / Senior Staff Software Engineering

Deployed and configured several solutions for Hardware Engineering.

Role – Project Management, System Analyst and Migration Lead.

Software – Oracle, SQL Server, Ruby on Rails and C#.

Xena for Semiconductor IP management.

Tempus Resource by Pro Symmetry for resource management ERP.

POC migrating Synopsys VCS from OnPrem to AWS.

Key Functionality –

ERP - A Unified solution for all departments with common taxonomy for roles and skills used in the Semiconductor Chip development process.

Semiconductor IP Management – One solution Portal for Multiple sites.

Developed several Data Engineering and Analytics Solutions

Role – Solution Architect, System Analyst and Developer.

Software - Informatica, Oracle (PL/SQL, XML DB), SAP Business Objects, QlikView, Perl, Visual Basic and Java.

Chip Intelligence (CI)

Chip Complexity Estimation (CCE)

Feature cost Estimation (FCE)

RF Resource Estimation

Automated Document Creation (ADC)

Design Implementation Metrics (DIM)

Key Functionality –

ADC – One click PowerPoint creation from multiple sources (MongoDB, ClearQuest)

CI – XML content extracted from Cadence Caliber, ETL (Informatica) to Multiple ODS databases, XML schema for data validation, Data Warehouse for Reporting, engineers can access data in few clicks. Use ftp to upload content to Oracle Database.

FCE – Use web browser to apply tagging Taxonomy to blocks in chip hierarchy.

DIM – a single database for all metrics with QlikView for analytics.

Implemented several secure ECM solutions.

Role – Solution Architect, System Analyst, Developer

Software – SharePoint, PowerPoint, Excel, Visio, Documentum, eRoom, Wiki, Python. Perl

Portals for content and document sharing for all of Hardware Engineering.

Automated approval for design documentation.

Design Flow Document aging notification, with Visio Diagrams.

Management and Governance of IP sharing with External EDA Vendors.

Technical Summits custom Portals.

Key Functionality –

SharePoint - Term Store for Global Content Tagging, several no code solutions with workflows for document content approvals and notification, Clickable Visio diagrams to access and filter web parts content.

Wiki – Automated content creation and upload, navigation using design hierarchy to access circuit diagrams.

Excel – several applications using Visual Basic with access to content from SharePoint and other Databases.

Manager EDA Infrastructure Team.

Role – Solution Architect, Management and System Administrator

Software – Linux, Windows, NetApp

Expert System for configuration management of Cadence EDA Tools, custom build, and update tool for EDA Tools Linux System configuration.

EDA (Synopsis, Cadence, Mentor Graphics, etc.) tool installation and license management.

Administration of heterogenous UNIX/LINUX environment including HP-UX, SunOS, and Solaris

Installation and administration of IBM Spectrum LSF

DesignSync (version management), ENOVIA Synchronicity

AFS (Andrew File System) for EDA tools distribution for multiple sites

LNIX configuration Automation, in-house developed configuration engine in C.

Administration of Windows environment for PTE, Test Engineering applications.

Redundant license server configuration and management.

Many scripts in of C shell, AWK and SED for EDA tool configuration management.

Trident Data Systems (1994/9 – 1995/2)

Role - UNIX System Administrator

Software – Multiple variants of the UNIX operation system

Administered a diverse UNIX environment, optimizing system build processes and significantly reducing turnaround time.

JPL-Caltech (1984/1– 1994/9)

Role - Member of Technical of Staff

Software – UNIX, Domain IX and VMS operating systems.

Setup, Installation and Administration of the first EDA (Cadence and Mentor Graphics) Environment for JPL, heterogenous environment including VAX-VMS, Apollo Domain IX, HP-UX, SunOS, and Silicon Solutions hardware accelerators.

Implementation of DFT methodology including BIST and fault simulation.

Managed all vendor purchases and license negotiation.

Performed Simulation, Modeling and Reliability analysis on Semiconductor devices. (Linear Regression using Weibull Distribution)

Image processing solution for circuit and logic extraction (C Programming).

Modeling system behavior using (C Programming).

8086 assembly language programing for subsystem testing

Education

Master of Computer Science (Artificial Intelligence), West Coast University, Los Angeles, 1989

Bachelor of Computer Science, West Coast University, Los Angeles, 1985

Bachelor of Mechanical Engineering, Nottingham University, England, 1982

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