[In Development] Short Course on Software Engineering Interview Prep

Prepare for your next software engineering interview with this comprehensive breakdown of mental models to map your technical skills to market demand, assess company fit, and build a high-impact portfolio that gets you hired. Timestamped Key Takeaways: 00:00 - Navigating the Tech Job Market: Understanding supply, demand, and employer compatibility. 06:29 - System Design & Architecture: Structuring data pipelines, databases, and non-functional requirements. 08:19 - MLOps & Cloud Infrastructure: Deploying models, AIOps, and leveraging AWS/GCP/Azure. 11:50 - Decoding Tech Roles: The nuances between Data Engineering, Data Science, and ML Engineering. 13:25 - Front-End vs. Back-End Systems: BI tools, web deployments, and API integrations. 20:47 - From R&D to Production: Moving from proof of concept to scalable, production-ready applications. 27:02 - The Power of a Tech Portfolio: How to bypass NDAs and "lack of experience" traps to prove your skills. Main Takeaways / Conclusion: Map Your Tech Stack: Understand exactly where your skills fit within the broader engineering ecosystem, from web development to advanced machine learning. Master System Design: Learn to transition seamlessly from building local proof-of-concept projects to deploying highly scalable cloud architecture. Build a Proof Portfolio: Overcome the Catch-22 of professional experience requirements by showcasing transferable, enterprise-level skills through public projects. Align with Company Culture: Evaluate potential employers not just on compensation, but on technical scale, behavioral fit, and long-term career growth opportunities. 🔗 Links & Resources: Check out the portfolio microservice: https://thomas-to-bcheme-github-io.ve... Connect with me on LinkedIn:   / thomas-to-bcheme   GitHub Repository: https://github.com/thomas-to-bcheme/t... Tags: #SystemDesign #MLOps #SoftwareEngineering #DataEngineering #TechCareer #LLM #AIOps