Cesser J.

Software Engineer

San Francisco, California, United States1 yr 11 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Enhanced QA processes at NVIDIA with AI solutions.
  • Boosted productivity by 40% using AI-powered scripts.
  • Achieved over 90% efficiency in QA automation at Roku.
Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in AI and automation.

Contact

Skills

Core Skills

Quality AssuranceGenerative AiAmazon Web Services (aws)AutomationWeb Application DevelopmentProject CoordinationAgile MethodologiesMachine Learning

Other Skills

Data StructuresComputer VisionIndustrial AutomationAgile TestingFront-end CodingEnd-to-end TestingUnit TestingGitHubSoftware TestingAI AgentsTest PlanningObject-Oriented Programming (OOP)Natural Language Processing (NLP)Full-Stack DevelopmentDjango REST Framework

About

Software Engineer specializing in AI integration, LLM development, and automation. At NVIDIA, I'm enhancing QA processes and developing AI-powered solutions. Previously at Kibeam Learning, I engineered Python-based automation systems that significantly boosted productivity. My expertise in leveraging AI technologies like GPT and Claude optimizes workflows across various domains. With a BA in Computer Science and Psychology from the University of Colorado Boulder, I bring a unique perspective to technological solutions. At Roku Inc., I implemented CI/CD pipelines and ML models, driving QA efficiency up by over 90%. Passionate about creating intelligent, scalable solutions that make a real-world impact in software development and quality assurance.

Experience

1 yr 11 mos
Total Experience
1 yr 11 mos
Average Tenure
--
Current Experience

Nvidia

Software Development Engineer in Test

Sep 2025Present · 8 mos

  • Developing testing solutions for HPC clusters
Data StructuresGenerative AIWeb Application DevelopmentComputer VisionIndustrial AutomationAgile Testing+14

Humane

2 roles

Software Engineer - Device Infrastructure & Automation

Jan 2025Feb 2025 · 1 mo

Data StructuresGenerative AIWeb Application DevelopmentComputer VisionPyTorchIndustrial Automation+15

Software Engineer - Device Infrastructure & Automation

Sep 2024Feb 2025 · 5 mos

Data StructuresGenerative AIWeb Application DevelopmentIndustrial AutomationAgile TestingFront-end Coding+12

Kibeam learning

Software Engineer - Automation and TD

Jan 2024Sep 2024 · 8 mos · Remote · Remote

  • ● Engineered a Python-based automation system that reduced book script to XML conversion time by 70%, later optimizing it for C# and JavaScript implementation becoming the primary tool used among our team
  • ● Developed AI-powered Python scripts using GPT-4 and Claude, which allowed for transcript creation, character detection, maintenance of writers syntax increasing writer productivity by 40% allowing more time for book development and reviews
  • ● Architected and implemented multiple AWS Textract tools for automatic SVG markup and labeling, as well as automatic text detection for SVG shaping slashing book labeling time by 50-80% and improving accuracy by at least 30%
  • ● Implemented a custom XML language, enabling interactive content deployment for 50+ children's books
  • ● Used AWS and Azure to help develop and deploy cloud ML solutions in over 5 programs helping automate business processes
Data StructuresGenerative AIAmazon Web Services (AWS)Web Application DevelopmentComputer VisionIndustrial Automation+13

Nbcuniversal

Project Coordinator - Software and Technology

May 2023Dec 2023 · 7 mos · United States · Remote

  • ● Gathered weekly status updates on over 30 projects that were currently in development in order to provide project visibility to leadership as well as cross-functionally to project owners.
  • ● Coordinated and maintained notes of key meetings between various stakeholders, business leaders, and engineering leaders to ensure information is received across the board.
  • ● Created and maintained individual project trackers in Excel, Sharepoint, and Airtable that allowed for information to be presented and shared across the board.
Data StructuresGenerative AIWeb Application DevelopmentSoftware DevelopmentScrumIndustrial Automation+14

Roku inc.

Software Engineer - TV Automation

May 2021Apr 2023 · 1 yr 11 mos · San Jose, California, United States · On-site

  • ● Implemented DevOps CI/CD pre-merge and post-merge pipelines on GitLab YML, which ran on newly checked in tests to ensure tests ran successfully across all TV platforms and regions with a 0 percent failure rate.
  • ● Worked cross-functionally with teams across the world to implement CI jobs and automated tests that ensured code changes did not break automated tests, previously committed code or devices.
  • ● Automated over 30 suites of manual device and TV test cases using Python, Bash, OpenCV, Raspberry Pi and machine learning (PyTorch, Kears, Tensorflow) to increase QA efficiency by over 90 percent for each test case.
  • ● Supported core teams in triaging and fixing automation issues using Agile and Atlassian suite.
  • ● Explored the possibility of bypassing online verification and running Roku automated tests without an internet connection to ensure partners without internet access could use the tests and found that it was impossible.
Machine LearningData StructuresAmazon Web Services (AWS)Web Application DevelopmentComputer VisionSoftware Development+28

American converters inc.

Package Engineer - Design and Development

Jul 2019Nov 2020 · 1 yr 4 mos · Longmont, Colorado, United States

  • ● Engineer foam and corrugate packages using AMCON engineering and Manufacturing processes as well as ensuring packages will pass drops from multiple heights.
  • ● Use Solidworks to create CAD models of packaging solutions as well as Drawings and tooling that are made to AMCON standard.
  • ● Assist in Management of revisions to projects by maintaining proper network organization as well as proper project design to ensure that revisions can be done quickly.
  • ● Use a CNC table to create prototypes of package designs depending on foam size and specification. Assist in the Manufacturing plant to cut, assemble, and take inventory when the engineering office was not busy.
  • ● Created Python scripts to help calculate tolerance and drop ratings of over 100 new package designs.
  • ● Engineer foam and corrugated packages using Solidworks and Python confining to AMCON engineering and Manufacturing processes that ensured a quick 3-7 day start to finish timeline on new package designs.
  • ● Programmed CNC machines using Machine Language and C++ to cut CAD designs to the correct tolerance of each design.
Data StructuresGitHubProject CoordinationPython (Programming Language)

Education

Front Range Community College

Associate of Science - AS

University of Colorado Boulder

BA Computer Science

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