Vik K
CTO at Moondream AI
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolVik K is a seasoned technology leader and CTO with 17 years of experience building scalable systems across machine learning, large-scale distributed systems, formal verification, security, and HCI. After nearly a decade at AWS leading software development, he now steers product and engineering at Moondream AI, where he continues hands-on work—most recently implementing core components of a tiny vision-language model that bridges vision encoders with text generation and streaming outputs. Based in Seattle and an IIT Mandi computer science alumnus, he combines systems-level rigor with ML research instincts, often solving problems at the intersection of multiple domains. Colleagues value him for translating complex, cross-disciplinary research into usable, production-ready features.
17 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Computer Science and Engineering, Bachelor's degree, Computer Science and Engineering at Indian Institute of Technology, Mandi
English, Telugu, Hindi
Stackoverflow
1,544reputation
96kreached
3answers
3questions
git
top-5%
Github Skills (17)
image-preprocessing10
text-generation10
pytorch10
integrate10
machine-learning10
integrations10
computer-vision10
data-integration10
git9
ruby-on-rails6
emberjs6
libevent6
git-commit6
ruby6
ember-data6
Programming languages (13)
Github contributions (5)
m87-labs/moondream
Dec 2023 - Apr 2026
tiny vision language model
Role in this project:
ML Engineer
ML EngineerContributions:25 reviews, 90 PRs, 293 pushes in 2 years 4 months
Contributions summary:Vik implemented core functionalities for a vision language model. They added a vision encoder module with preprocessing steps and integrated it within the project's architecture, demonstrating a focus on computer vision tasks. Subsequent commits focused on building a simple text generation interface, showcasing the user's capability to integrate vision models with text-based functionalities. Further commits show the incorporation of features like loading and using pre-trained models, and streaming outputs to stdout, suggesting an active role in model development and usability enhancement.
language-model
hummingbird-me/ansible-deploy
May 2014 - Dec 2014
Contributions:55 commits in 7 months
deployingansibleansible-scriptshummingbird
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