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There will be a code freeze on Wednesday so make sure your project is ready before that( No more future or any other big changes, you are only allowed to fix bugs).
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Know your project (Events Startup Project) inside out. Be ready to explain why you made every technical decision, what trade-offs you considered, and what limitations your project still has. Structure your presentation into four parts: a quick overview of the problem you solved, a live demo showing 2-3 key features, a technical deep dive on one interesting challenge, and your key learnings. Practice your demo at least three times, have a backup (screenshots or video), and prepare answers for common questions like "What was the hardest bug?" or "How would you scale this?"
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During the presentation, speak clearly and don't rush. If you don't know something, say "I don't know, but here is how I would find out" instead of guessing.
Interviewers are evaluating your technical competence, problem-solving, communication, and self-awareness — not whether your project is perfect.
Be honest, be prepared, and remember, they want to see how you think, not catch you failing.\ -
Practice solving simple problems out loud.\
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Review your elevator pitch and be ready to confidently present yourself at the beginning of the interview
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Come ready to engage and ask questions.
This interview will be 10% soft skills and 90% technical. That means, that while the main focus is on the technical aspects, attention will also be on how well you manage to communicate your technical knowledge.
You should start with a brief introduction of yourself as well as your interest in the position.
A technical interview serves as a practical evaluation of a candidate’s problem-solving abilities, coding skills, and technical understanding relevant to the role. It allows interviewers to assess how candidates approach challenges, structure their thinking, and apply core concepts in real-time. Beyond arriving at a correct solution, this stage emphasizes clarity of communication, logical reasoning, and the ability to collaborate through problems. This process helps identify candidates who can effectively translate their knowledge into practice while demonstrating the technical competence required for the role.