S

Subhram Rana

Senior Software Engineer

Bengaluru, Karnataka, India4 yrs 7 mos experience
Most Likely To Switch

Key Highlights

  • Engineered a rule engine reducing loan approval time to 5 seconds.
  • Automated document parsing, cutting processing time significantly.
  • Designed instant refund feature enhancing UPI transaction experience.
Stackforce AI infers this person is a Backend Engineer in Fintech, specializing in scalable systems and real-time data processing.

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Skills

Core Skills

Go (programming Language)Systems DesignKafkaGo

Other Skills

GitHubAmazon S3Amazon SQSAmazon Web Services (AWS)Project ownershipMySQLSpinnakerGrafanaUnit TestingKubernetesdockerREST APIsDatabasesApache KafkaRedis

About

Experienced in GO, MySQL, AWS (SQS, S3), Kubernetes, Kafka, Redis, Prometheus, Docker, and C++, I've taken end-to-end ownership in developing multiple mid-complex product features at Razorpay. My true passion lies in architecting scalable backend systems that power seamless user experiences. As a dedicated system design enthusiast, I thrive on solving intricate challenges to create robust solutions.

Experience

4 yrs 7 mos
Total Experience
2 yrs 3 mos
Average Tenure
2 yrs 5 mos
Current Experience

Headout

Senior Software Engineer

Nov 2023Present · 2 yrs 5 mos · Bengaluru, Karnataka, India · Remote

GitHubAmazon S3Amazon SQSAmazon Web Services (AWS)Systems DesignProject ownership+20

Razorpay

Software Engineer

Jul 2021Sep 2023 · 2 yrs 2 mos · Bangalore Urban, Karnataka, India

  • ✴️ Engineered a cutting-edge rule engine that rapidly evaluates financial metrics for Razorpay customers, delivering loan offers within 5 seconds. By eradicating manual interventions, slashed loan approval time from 4 days to an astonishing 5 seconds. Employed Kafka, Prometheus for real-time rule synchronisation across microservices, while optimising metric evaluation process through GO concurrency, DB indexing and Redis
  • ✴️ Orchestrated the automation of financial document parsing by seamlessly integrating APIs with external services. Remarkably reduced document parsing time from 10 minutes to mere seconds, optimising efficiency and accuracy in operations
  • ✴️ Designed and implemented an instant refund feature for failed UPI transactions. Collaborated closely with NPCI to seamlessly integrate with Razorpay's P2M clients, resulting in a frictionless UPI payment experience and bolstered client satisfaction
KafkaPrometheusGORedisDB indexingAPI integration

Education

Indian Institute of Technology, Roorkee

B. Tech — Mechanical Engineering

Jan 2017Jan 2021

SVM Neelakanthanagar

Higher Secondary Education — Science

Jan 2015Jan 2017

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