I'm an Ex-Google Software Engineer and content creator with a combined audience of over half a million followers across multiple platforms. Over the years, I've grown and nurtured large, engaged communities by sharing insights into software development, tech careers, and entrepreneurship.

My background spans both early-stage startups and some of the world’s leading tech companies. I've built and scaled profitable companies—including one I successfully exited—and passed coding interviews at some of the most competitive firms in the industry.

Beyond my work in tech, I've mentored thousands of aspiring developers and professionals, helping them break into the industry, ace technical interviews, and land roles at top-tier companies. Whether you're looking for guidance on your career path, help preparing for technical interviews, or strategic advice on building in tech, I bring a practical, results-driven approach backed by real-world experience.

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Kevin Naughton

Full stack developer | ML developer | Python , JavaScript , Typescript, Java , c++ , C# | React , Vue , Angular , React Native , Next.js , Babylon.js | Node.js , Django , Nestjs, Spring , Fastapi | Pandas , TensorFlow

With 15+ years in software engineering and deep learning, I bridge the gap between "proof of concept" and scalable, production-grade AI. I don’t just train models; I build the infrastructure that makes them reliable, secure, and profitable.Currently focused on architecting Cloud-Native Generative AI systems. I help companies move beyond basic prompting to build robust RAG pipelines and Agentic Workflows that actually work at scale.Where I deliver value:Production AI: Architecting end-to-end pipelines using Kubernetes (EKS/GKE) and Serverless infrastructure to serve models with &lt;100ms latency.Advanced LLM Ops: Fine-tuning Transformers (PyTorch/JAX) and implementing Vector Search (RAG) for context-aware applications.Measurable Impact: Proven track record of improving forecast accuracy by 25% and accelerating deployment cycles by 30% through rigorous CI/CD for ML.Technical Arsenal:Core AI: PyTorch, TensorFlow, Hugging Face, LangChain.Infra: Docker, Kubernetes, Terraform, AWS/GCP/Azure.Data: Apache Spark, Airflow, Vector Databases.I am passionate about Responsible AI—ensuring models are explainable, privacy-compliant (GDPR), and secure.🎥 See how I build: https://www.youtube.com/@rez-dev

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