Suggestions
Jason Kelly
Product and Engineering Leader | Applied AI | SaaS
Jason Kelly is a technology executive with extensive experience in software engineering and product development. Based on the information provided, here are the key details about Jason Kelly:
Professional Experience
Jason Kelly has held several leadership positions in technology companies:
Current Role:
- CEO at Fremont Robotics (February 2023 - Present)
- Focused on advancing intelligent automation and applying robotics to solve business problems
Previous Roles:
- VP of Software Engineering at AgEagle Aerial Systems Inc. (December 2021 - February 2023)
- VP of Engineering at AirMap (November 2020 - November 2021)
- Led engineering teams across backend, web, mobile, DevOps, and QA
- Sr. Manager, Software Engineering at Amazon Web Services (AWS) (June 2019 - November 2020)
- Led an organization transforming software procurement in the cloud
- Partner & Director of Engineering at BCG Digital Ventures (January 2016 - June 2019)
- Established and led the Seattle engineering center
Education
Jason Kelly holds the following degrees:
- BS in Computer Science from Iowa State University
- BS in Journalism and Technical Communication from Iowa State University
- Certificate in Geographic Information Systems from the University of Washington
Skills and Expertise
Throughout his career, Jason has demonstrated expertise in:
- Building and leading engineering teams
- Developing roadmaps and architecture for SaaS businesses
- Working with CEOs and CIOs across various industries
- Managing distributed development teams
- Cloud computing (AWS, Microsoft Azure)
- Web and mobile application development
Jason Kelly's diverse experience in software engineering, product development, and business leadership has positioned him as a versatile technology executive.1
Highlights
What to know which tasks LLMs like Claude, Gemini, ChatGPT are going to get better at? Look at the popular benchmarks.
Text-based: MMLU: Knowledge across 57 subjects across STEM, humanities, social sciences, and more BIG-Bench-Hard: Extra-challenging logic and reasoning tasks
The latest models are >90% accurate on these and are fighting for single percentage points.
Vision-based benchmarks are showing really interesting progress: MathVista: Visual math reasoning MMMU: College-level knowledge and reasoning on images
Newer models (Claude 3.5 Sonnet, Gemini 1.5 Pro, GPT-4o) are below 70% on these vision benchmarks but I'd bet on seeing substantial progress quickly.
This is a good overview image of the MMMU evaluation dataset (from https://lnkd.in/gUkbBFcC)
Researchers at UC Berkeley, Stanford, CMU and Google just released this open-source model for robotic manipulation. The exciting part? All of the code, models, and training data are available on GitHub and HuggingFace. I'm going to try it out now!
