Naman Gupta
I want to join a small infra team at a startup where the engineering bar is high and one person can own a system end-to-end.
I'm a backend engineer at Vegapay shipping credit-card infrastructure — pipelines, reporting services, APIs for regulated financial data. Before that: BITS Pilani, ICPC, 35+ alphas on AlphaVerse, and a research stint at Université Laval. I write Spring Boot the way most people write CRUD — and I'm happiest when there is a real correctness constraint on the other side.
Owns a system end-to-end
At Vegapay I owned the reporting service from system design through production rollout. No PM, no second engineer — just the constraint and the deadline.
Treats correctness as a feature
Regulated financial data and 35+ live alphas trained me to think out-of-sample first. "Looks great in dev" is the same shape as "looks great in-sample."
Builds the boring tool too
QA automation cut Vegapay regression time 95% and unlocked fully automated releases. Glue work is part of the job; I don't wait for someone else to do it.
If we talk this month
- Available
60 min intro chat. Any timezone. Use the booking button below or just email.
- First 30 days
Read the codebase. Ship one production change in the first week — small and reversible. By day 30, own a pipeline or service that I would have been pulled into on day 10 anyway.
- What I'm looking for
Seed → Series B with a real engineering culture. Backend / infra / data-systems work. Remote (US/EU) or Bangalore. I want technical mentors and I want the autonomy to make decisions that aren't trivially reversible.
- What I'm not
Not a frontend specialist. Not chasing prestige logos. Not the right hire if the team is more than 80 engineers — I'd rather be one of fifteen than one of fifty.
Ask the site anything.
Three things worth talking about
Each project opens into a case study with architecture diagrams, decisions considered, and what I'd revisit. Outcomes first; the long version is one click away.
Vegapay Reporting & Ingestion
Owned a scalable reporting service end-to-end — system design, data modeling, backend implementation. Built an automated pipeline that ingests client CSVs over SFTP, processes them via Chronos and Kafka, persists structured metadata to Postgres and raw files to S3. Drove initial request latency down ~80% to 30ms via adaptive service warming and auto-scaling.
Cross-Market Alphas
Built and validated 35+ predictive signals on US and China equity markets. Discovered alphas with Sharpe ratios from 1.25 to 2.91, turnover up to 102%, cross-correlation under 0.7. Top 0.5% globally (rank 26) in AlphaVerse Premier League and global rank 302 in International Quant Championship.
NER for Legal Document Privacy
Published research on Named Entity Recognition-based privacy protection for legal documents. Built a custom NER pipeline using SpaCy, NLTK, and regex to automate sensitive entity detection across legal contracts and case files. Published in IJSRCSEIT, December 2023.
A decade of contests
Algorithmic problem solving has been a parallel discipline since school. Ratings below refresh live via the backend, which polls contest platforms on a schedule and caches the results.
- 2023ICPC Qualifier — overall rank 205, university rank 2
- 2022Google KickStart — global rank 1024
- 2023Meta Hacker Cup — global rank 1984
- 2023AlphaVerse Premier League (AlphaGrep) — university topper, global rank 26 (top 0.5%)
- 2023WorldQuant International Quant Championship — global rank 302 (Stage 2)
Where I've worked
Vegapay Technology
Software EngineerBackend engineering on credit card management infrastructure. Architected and shipped a scalable reporting service from scratch. Built the SFTP → Kafka → S3 ingestion pipeline. Stood up a QA automation framework that cut regression time by 95% and enabled fully automated production releases.
MASTH (UltraHive Healthcare)
Chatbot / ML InternBuilt CBT-driven conversational modules in DialogFlow for a mental wellness chatbot serving ~1K users. Shipped a Flutter front-end with personalized activity tracking into the production Play Store app.
goGlocal
Backend Developer InternDesigned a Postgres schema handling 1.5M+ records with 70% test coverage. Shipped REST APIs sustaining 20K+ daily requests at 150ms average latency for an e-commerce marketplace.
Algoix Technologies
Full-Stack Developer InternBuilt a recruiter–learner–mentor platform from scratch in Django. 20+ data access endpoints serving 5K+ users.
Education and distinctions
Birla Institute of Technology and Science, Pilani
2020 — 2024B.E. Electronics & Communication Engineering and M.Sc. Economics. Founded the Alphas research group; selected for MITACS Globalink research at Université Laval, Canada.
- 2023MITACS Globalink Research Fellowship — Université Laval, Canada
- 2023Research publication: NER-based Privacy Protection (IJSRCSEIT)
- 2025Vegapay company-wide hackathon — Runner-up
Hire me before the next person does.
If you're hiring backend or infra at a small team, I'd love to talk. The booking link below is real — pick a slot and I'll be there. The email is monitored daily.