Scott Little

Software Engineer

San Francisco, California, United States4 yrs 8 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Developed robust ETL pipelines for data applications.
Created impactful Power BI dashboards for data visualization.
Led AI prototyping projects leveraging OpenAI API.

Stackforce AI infers this person is a Machine Learning and Cloud Engineering specialist in SaaS and Data Analytics.

Contact

Skills

Core Skills

Data ScienceMachine LearningData EngineeringData ManagementCloud EngineeringData VisualizationProduct Management

Other Skills

ETL PipelineData Model & VisualizationAI PrototypingMaster Data ManagementBigQueryNetSuitePower BIOpenAI APIAzure AISplink ML toolkitCloud OrchestrationMonitoring ToolsDashboard CreationDeep LearningImage Processing

About

I graduated from Bucknell University with a degree in Computer Science & Engineering, where I played Division I Water Polo.

Experience

4 yrs 8 mos

Total Experience

2 yrs 4 mos

Average Tenure

3 yrs 4 mos

Current Experience

Contract

Contract Software Engineer

Feb 2023 – Present · 3 yrs 4 mos · San Francisco, California, United States · Remote

Work closely with customers to design and deliver custom data applications:
ETL Pipeline: Developed a robust ETL pipeline from NetSuite to BigQuery with automated refreshes and dynamic schema management (auto-adding/removing columns and tables).
Data Model & Visualization - Designed and built Power BI dashboards by integrating multiple data sources, building a semantic model, and delivering custom dashboards with actionable, business-driven visualizations.
AI Prototyping - Conducted applied research and prototyping on agentic RAG patterns for real estate use cases, leveraging the OpenAI API and Azure AI services to assess retrieval, orchestration, and reliability tradeoffs
Master Data Management: Built an MDM prototype to unify records across multiple data sources using the Splink ML toolkit, improving data quality for downstream consumption.

ETL PipelineData Model & VisualizationAI PrototypingMaster Data ManagementData ScienceMachine Learning

Confluent

Cloud Engineer

Sep 2021 – Jan 2023 · 1 yr 4 mos · Mountain View, California, United States · Hybrid

Worked on the cloud orchestrator team, improving the lifecycle for automatic cluster provisioning and deletion
Debugged and fixed issues where certain clusters were failing to delete, reducing on-call load by approximately 40%
Created internal dashboard to improve team’s on-call experience, reducing issue resolve time & increasing developer productivity
Collaborated with cross-functional teams to ensure optimal integration between cloud services and internal tools
Optimized cloud resources, achieving a 15% cost reduction by streamlining provisioning processes
Led the development of new monitoring tools, providing real-time insights into system health and performance

Cloud OrchestrationMonitoring ToolsDashboard CreationCloud Engineering

Kinetica

2 roles

Machine Learning Intern

Jun 2020 – Aug 2020 · 2 mos · San Francisco Bay Area

Developed a "scenic route" application that applies deep learning to millions of street level images in order to detect road beauty, then directs the user on the most scenic (while still fast) route. In the process, I led meetings with the UI, Geo, Product, and Marketing teams to improve and market the demo for Kinetica's benefit. I also created a "Tech Talk" to showcase how this application leverages Kinetica, which appears on Kinetica's website. Finally, I wrote code for a Kinetica release - a set of CPU & GPU Jupyterlab containers which have Pytorch & Tensorflow capabilities.

Deep LearningImage ProcessingUI CollaborationMachine Learning

Machine Learning Intern

Jun 2019 – Aug 2019 · 2 mos · Arlington, VA

Created ML demos showcasing the power of Kinetica's GPU accelerated database. These include a highway toll prediction model which utilizes vehicle detection on real-time traffic camera data, as well as a LendingClub automatic loan underwriting model, which proved to successfully generate revenue.

Machine Learning DemosGPU AccelerationMachine Learning

C3

Product Management Intern

Jun 2018 – Aug 2018 · 2 mos · Redwood City, CA

I learned how to develop applications on the C3 platform, and created a coursera course to teach customers how to build AI and IOT applications. I also wrote and built a proof of concept for an automatically generated Entity Relationship Diagram, along with periodically testing new features on the C3 platform, documenting bugs in JIRA, and learning the agile development process along the way.

Application DevelopmentProof of ConceptProduct Management