Skip to content
View vishnuvardhanburri's full-sized avatar
💭
Busy
💭
Busy

Block or report vishnuvardhanburri

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
vishnuvardhanburri/README.md

Vishnu Vardhan Burri

Senior Software Engineer · Backend & Systems · Toptal Top 3% Developer
Founder & CEO — Xavira Techlabs


🧠 At a Glance

  • Backend-first engineer focused on production systems
  • Trusted with systems where failure is expensive
  • Works mostly in private, long-lived repos
  • Optimizes for trust, durability, control

🔧 What I’m Known For

  • Backend architecture & long-lived services
  • Data & document pipelines (PDF, OCR, ETL)
  • AI systems with validation, guardrails, fallbacks
  • Stabilizing systems that already shipped

Design priorities: correctness · observability · maintainability


🧑‍💻 How I Use GitHub

GitHub is my engineering workspace, not a portfolio.

  • Architecture lives in commits
  • Decisions live in PRs
  • Repos are treated as long-lived systems

Most meaningful work is private.
Public repos show judgment, not activity.


🏗️ Systems I’ve Owned

  • Business-critical backends
  • Multi-team APIs
  • Automation replacing fragile workflows
  • Data pipelines with zero tolerance for corruption
  • AI systems where correctness > novelty

Success metric: the system becomes boring to operate.


🧭 Engineering Biases

  • Clarity > cleverness
  • Simple > impressive
  • Fewer services > premature microservices
  • Explicit ownership > shared ambiguity
  • Observability is non-negotiable
  • AI assists, never decides

🚀 Xavira Techlabs

I founded Xavira Techlabs to build software that
keeps working after the excitement fades.

We help teams:

  • fix fragile foundations
  • correct early architectural mistakes
  • stabilize production systems
  • ship AI responsibly

📌 Want the Deep Version?


Final note

No stats. No streaks. No noise.

If you’re thinking:
“We can’t afford to get this wrong.”

We should talk.

Pinned Loading

  1. engineering-decisions engineering-decisions Public

    1