Scripted Job Interview
Walk me through how one tenant’s data stays invisible to another.. What do you understand by modal dispersion in an optical fibre?. Your simulation said one thing and the test rig said another. What happened?. Why did you specify M25 for that slab and not M20?. Take me through the phase diagram you used to pick that heat treatment.. Your ladder logic, what happens on a power dip halfway through a cycle?. How did you decide the sample size for that assay?. Where would setup time actually bite you in this design?. You have a retry loop here. What stops it charging a customer twice?. Why an air-cooled condenser for this duty instead of water?. In STAAD you modelled that joint as pinned. Justify it.. A high reflux ratio is not a safety margin. What does it cost you?. How did you measure that 30%, and over what baseline?. You valued it with a DCF. What is the terminal value doing to your answer?. Your relay tripped on inrush. How would you stop that without losing protection?
Aarav Sharma
B.Tech Computer Science · Graduating 2026 · CGPA 8.6
Experience
Backend Engineering Intern · Fintech startup
- Built a billing platform on Postgres, cutting invoice errors by across 40+ organisations.
- Added retry and reconciliation for failed webhook deliveries, removing most manual support tickets.
- Made payment capture so a retried request could never charge a customer twice.
- Wrote the migration that moved 2.1M historical invoices with no downtime.
Research Assistant · Department of Electrical Engineering
- Cleaned and labelled two years of campus meter data for the load forecasting group.
- Built the ingestion job that pulled readings hourly and flagged sensor dropouts.
- Co-authored a paper submitted to a national conference on demand-side management.
Projects
Campus load forecasting
- Trained an ANN on two years of hourly meter data, reaching on the held-out month.
- Compared against a seasonal naive baseline and a gradient boosted model.
- Deployed the model behind a small Flask service the department still runs.
Structural analysis toolkit
- Verified beam deflection results against for a set of standard load cases.
- Wrote the solver in NumPy and checked it against closed-form results first.
Placement portal for the department
- Next.js and Postgres, used by three batches to track applications and offers.
- Added role-based access so students could not read another student’s record.
Education
National Institute of Technology
- B.Tech, Computer Science and Engineering. CGPA 8.6 out of 10.
- Coursework in DBMS, operating systems, computer networks and design of algorithms.
Kendriya Vidyalaya · Class XII, CBSE
- 92.4%, Physics, Chemistry and Mathematics.
Skills
- Languages: Python, TypeScript, C++, SQL.
- Tools: Postgres, Docker, Git, Linux, , MATLAB.
- Coursework strengths: data structures, operating systems, DBMS.
Positions of responsibility
- Coordinator, departmental technical festival 2025. Ran a across three events.
- Teaching assistant for the second-year data structures lab.
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