R

Rahul Hegde

Senior Software Engineer

Bengaluru, Karnataka, India3 yrs 4 mos experience

Key Highlights

  • Reduced API latency by 300ms through optimization.
  • Designed backend systems for millions of events daily.
  • Rewrote services in Kotlin, enhancing performance.
Stackforce AI infers this person is a Backend Developer with expertise in Fintech and SaaS environments.

Contact

Skills

Core Skills

JavaKotlinMongodbJavascript

Other Skills

Node.jsTypeScriptSpring BootProblem SolvingRust (Programming Language)Go (Programming Language)

Experience

3 yrs 4 mos
Total Experience
--
Average Tenure
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Current Experience

Vegapay

Senior Software Engineer

Mar 2026Present · 3 mos · Bengaluru · On-site

Java

Bitgo

Senior Software Engineer

May 2025Present · 1 yr 1 mo · Bengaluru · On-site

  • Reduced overall API latency by 300ms across multiple services by optimizing database queries and implementing efficient caching strategies.
  • Optimized MongoDB queries using lean projections, reducing document parsing overhead and improving
  • response times.
  • Rewrote critical Node.js/TypeScript services into Kotlin Spring Boot, significantly improving system
  • performance and resource utilization.
  • Improved system stability and throughput for high-traffic financial APIs through performance tuning and
  • profiling.
MongoDBNode.jsTypeScriptKotlinSpring Boot

Yellow.ai

2 roles

Backend dev

Jul 2023May 2025 · 1 yr 10 mos · India

  • Designed and scaled backend systems for high-volume user engagement campaign reporting, handling
  • millions of events per day.
  • Built efficient queue-based ingestion and consumer pipelines for analytics processing with optimized
  • read/write performance.
  • Developed and deployed recurring campaign engines processing millions of users per minute with lowlatency execution.
  • Built WhatsApp automation flows for enterprise bots including BMRCL Metro and Royal Enfield,
  • supporting large-scale customer interactions.
  • Designed a ticket auto-close system using message queues, reducing expensive DB queries and saving
  • approximately $20,000 in infrastructure costs.
  • Optimized database storage by identifying and removing unused indexes, reducing database size by 2 TB
JavaScriptNode.js

Intern

Feb 2023Jul 2023 · 5 mos · India

Problem Solving

Education

Dayananda Sagar Institutions

Engineeeing — Computer Science

Jan 2019Jan 2023

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