Open to opportunities

King Novik

@kingnovik

Message

Dynamic software engineer with expertise in full-stack development.

United States

Message

What I'm looking for

I am looking for a role that challenges my skills and fosters growth.

I am a dynamic and results-driven Software Engineer with over 8 years of experience in full-stack development, AI integration, and scalable cloud architecture. My journey has been marked by a commitment to delivering robust, high-performance software solutions for Fortune 500 clients. I thrive in environments that challenge my technical skills and allow me to lead engineering teams towards success.

At Palantir Technologies, I architected scalable microservices architecture for national defense contracts and implemented an AI-driven analytics platform that processes over 1 billion records per day. My efforts in optimizing Kubernetes led to a 28% reduction in infrastructure costs. Additionally, I take pride in mentoring junior engineers and leading cross-functional sprints, fostering a collaborative and innovative team culture.

Previously, at Google, I built modular components for the Google Search backend and spearheaded NLP models for content relevance using TensorFlow. My contributions have not only improved system performance but also advanced our understanding of search algorithms through co-authoring internal whitepapers. I am passionate about leveraging technology to solve complex problems and drive impactful results.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Palantir Technologies

Jan 2021 - Present (4 years 4 months)

Architected scalable microservices for national defense contracts and implemented an AI-driven analytics platform processing over 1 billion records daily. Reduced infrastructure costs significantly through Kubernetes optimization and mentored junior engineers while leading cross-functional sprints.

Kubernetes AI Microservices Cloud Architecture Leadership Mentoring Scalable Systems

Software Engineer

Google

Aug 2016 - Dec 2020 (4 years 4 months)

Built modular components for the Google Search backend using C++ and Python and spearheaded NLP models for content relevance with TensorFlow. Decreased query latency through innovative caching strategies and co-authored internal whitepapers on search algorithm improvements.

C++Python NLP TensorFlow Caching Strategies Algorithms Backend Development

Education

Degrees, certifications, and relevant coursework

Stanford University

M.S. in Computer Science, Computer Science

Focused on advanced topics in computer science, including artificial intelligence and machine learning. Conducted research in natural language processing.

University of California, Berkeley

B.S. in Computer Engineering, Computer Engineering

Studied core principles of computer engineering, covering hardware and software design. Gained practical experience in circuit design and embedded systems.