For these high-skill roles, Infosys interviewers use your projects to understand:
So projects can heavily influence selection even if DSA or theory answers are average.
SP role interviews often move toward algorithmic and performance optimisation.
Interviewers sometimes ask:
Especially in SP interviews, they ask you to code part of your project on the spot.
| Area | SP | DSE |
|---|---|---|
| Code Quality | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
| System Design | ⭐⭐⭐⭐⭐ | ⭐⭐⭐ |
| Web/App Dev | ⭐ | ⭐⭐⭐⭐⭐ |
| Problem Solving | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
| Cloud / DevOps | Optional | Advantage |
| AI/ML | Advantage | Optional |
Students aiming for SP should highlight optimisation and algorithms.
Students aiming for DSE should highlight full-stack, deployment, APIs, and cloud knowledge.
First give 1–2 minute clean summary (problem → solution → tech stack → result)
Emphasize your individual contribution (not the whole team)
Show deeper technical decision-making
Don’t add something you cannot explain 100%
If asked a question you don’t know, say “I didn’t work on that part” rather than guessing
If possible, prepare a flowchart / architecture diagram in advance to show during interview
“My project is an AI-powered job recommendation system. The goal is to match job seekers with suitable job roles based on their resume and skillset.
I used Python, Flask, and MongoDB as the tech stack.
I built the machine learning model, optimized cosine similarity matching, and implemented API integration with the frontend.
The biggest challenge was performance, so I switched from linear search to vector indexing, reducing response time from 4.2 sec to 0.9 sec.
We deployed the app on AWS using Docker.”
This kind of short, technical, and result-focused response strongly impresses SP & DSE interviewers.
For Infosys SP and DSE: