Mentor profile
Tanmay Gupta
Software Developer 2 at Uber
Ex-Amazon, Microsoft
- ⚡ Built scalable systems across Big Tech and high-performance trading firms.
- 🎯 Conducting interview-focused sessions on DSA, System Design, Backend Engineering, and Software Architecture.
- 💡 Helping engineers think like top interview performers, not just solve problems.
About Tanmay Gupta
Tanmay Gupta is a Software Developer 2 at Uber with prior experience at Amazon and Microsoft, where he built scalable systems across Big Tech and high-performance trading firms. Having cleared and conducted technical interviews at multiple top-tier companies, he understands the exact signals interviewers evaluate at each stage of an SDE loop.
His mock interview sessions on ApplyRight focus on DSA, System Design, Low Level Design, Backend Engineering, and Software Architecture. Sessions simulate real interview pressure — live problem-solving with follow-up questions — and end with structured, actionable feedback on your approach, communication, and technical depth.
Candidates targeting FAANG companies, Uber, Microsoft, and high-growth startups book Tanmay for coding interview practice, system design dry runs, and architecture discussions. His coaching philosophy: help engineers think like top interview performers, not just solve problems.
Experience
- Present
Software Developer 2
Uber
- Previous
Software Development Engineer
Amazon
- Previous
Software Engineer
Microsoft
Skills
Interview domains
Reviews
“Tanmay's system design mock was incredibly close to my Amazon loop. He caught gaps in my scalability reasoning I had missed for weeks.”
“Clear, structured DSA feedback. I improved my communication during coding interviews and landed a Google onsite.”
FAQ about sessions with Tanmay Gupta
What types of mock interviews does Tanmay offer?
Tanmay runs interview-focused sessions covering DSA, System Design, Low Level Design, Backend Engineering, and Software Architecture for FAANG and top product companies.
How long is each session?
Each mock interview is 60 minutes via Google Meet, including live problem-solving or design discussion plus personalised feedback.