All the resources you need to get to Senior Engineer and beyond

A senior engineer's guide to the System Design Interview

An awesome list that curates awesome resources on Staff Engineering

💡 Think Like An Engineer is a roadmap for engineering leadership, a toolkit for growth hacking through engineering, and a manifesto for productivity enhancement

Senior Android Engineer | 7+ Years | Google Certified | Kotlin, Jetpack Compose, KMP | Founder of Timewarden | Open to opportunities

Nicholi Jin

🌟 Modern responsive CV built with Vue.js 3 + TailwindCSS showcasing Senior SRE expertise. SEO optimized, PWA-ready, WCAG compliant. 8+ years production systems experience, Kubernetes & multi-cloud specialist.

AI Infrastructure Senior Engineer Learning Track - Advanced ML infrastructure and technical leadership

GitHub profile README

Senior Frontend Engineer Portfolio - 16 years IT experience, 7+ years modern web development | Featured in The New York Times | React • TypeScript • Next.js • Redux | Production projects: AI evaluation clones, RCX Sports platforms, FactuPro SaaS

🌟All the 📔resources you need to get to 👨🏿‍💻 Senior Engineer and beyond.

Library for generating high-fidelity synthetic datasets for training AI models.

Scalable, distributed machine learning pipeline for real-time feature engineering and model inference. Built with high-concurrency in mind.

High-performance Rust CLI for managing end-to-end MLOps workflows.

Custom environments and agents for Reinforcement Learning research and development, implemented in Python with frameworks like OpenAI Gym and Stable Baselines.

A modular framework for distributed LLM training and fine-tuning across heterogeneous GPU clusters.

Custom CUDA and SIMD kernels for optimizing Transformer self-attention mechanisms.

Full-stack real-time analytics dashboard with integrated AI insights. Uses Next.js, Tailwind CSS, and OpenAI API for automated data storytelling.

High-performance Computer Vision algorithms and applications implemented in C++, focusing on real-time image processing, object detection, and 3D reconstruction.

Repository for MLOps practices, tools, and deployment strategies for machine learning models, including CI/CD pipelines, model monitoring, and infrastructure as code.