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Summary

Software engineer focused on backend systems, architecture, databases, queues, and APIs. Experienced in system design, reliability, performance, and product engineering. Strong interest in distributed systems and database internals. Skilled at mentoring engineers and turning unclear product needs into maintainable software.

Core Skills

  • System design
  • Backend architecture
  • Databases
  • Queues
  • APIs
  • Reliability
  • Mentoring
  • TypeScript
  • Node.js
  • Python
  • PostgreSQL
  • Redis
  • AWS
  • Docker
  • Kubernetes

Experience

Nov 2024 - Present
  • Lead backend and product work for AI voice workflows used by home service businesses.
  • Build systems for calls, follow-ups, reminders, estimates, renewals, and reactivation campaigns.
  • Design CRM integrations, data sync, workflow automation, and structured outcomes from conversations.
  • Set reliability practices while hiring, mentoring, and guiding engineers across core platform work.

Fyle Technologies (Acquired by Sage)

Principal Software Engineer

Jun 2023 - Nov 2024
  • Led redesign work on the core expense management platform.
  • Improved system structure, developer productivity, and long-term maintainability.
  • Architected backend components and reviewed system designs.
  • Improved testing, deployment, monitoring, PostgreSQL performance, and engineering mentorship.

SuperAPI (YC W23)

Co-Founder / CTO

Jan 2023 - May 2023
  • Built an API caching platform for faster applications and accurate cached data.
  • Designed scalable infrastructure with Redis, PostgreSQL, Debezium, Nginx, Docker, and AWS.
  • Shaped the technical roadmap through customer research and product discovery.

Education

  • B.Tech in Computer Science and Engineering from NIT Raipur, 2015-2019, CGPA 8.69/10.

Writing

  • Writes about backend engineering, PostgreSQL, system design, and reliable software on adiagr.com/blog.
  • Recent posts cover query performance, multi-tenancy, authentication, authorization, and API security.

Strengths

Strong at product, systems, and people work. Clear problem framing, practical architecture, and dependable execution without unnecessary complexity.