Priyal Bhagwanani

Backend Engineer

India3 yrs 8 mos experience

Key Highlights

  • Engineered systems handling over 50K requests per second.
  • Improved latency by 40% in critical trading systems.
  • Developed scalable payment solutions for external clients.
Stackforce AI infers this person is a Backend Engineer specializing in Fintech and high-performance systems.

Contact

Skills

Core Skills

JavaMicroservicesDistributed Systems

Other Skills

AlgorithmsAnalytical SkillsApache KafkaBusiness EnglishCI/CD PipelinesCVA TechnologyCommunity DevelopmentConcurrencyDartData MiningDockerDropwizardEvent ManagementExtemporaneous SpeakingFlutter

About

Priyal's been a Backend Engineer with 5+ years of experience building high-scale, low-latency backend systems for both large internet companies (Flipkart) and global trading platforms (Morgan Stanley). I specialize in Java, distributed systems, microservices, performance engineering, and designing fault-tolerant services that power real-time financial and payments ecosystems. Technically strong in: Java 17+, Spring Boot, Microservices, Multithreading, Concurrency, Kafka, Storm, Redis, SQL/NoSQL, GraphQL, Docker, Kubernetes, GCP/AWS, distributed system patterns, async I/O, and high-availability architectures. I thrive in teams that build low-latency, high-performance, resilient systems at scale, especially in payments, fintech, trading, infra, and platform teams. History: At Flipkart (Walmart SA Payments), I engineered systems handling 50K+ RPS with <2ms latency, built a closed e-wallet ecosystem for instant refunds, designed multi-reconciliation pipelines (Storm + Kafka), migrated services to async I/O frameworks, and deployed multi-VPC Kubernetes platforms from scratch. I’ve owned end-to-end delivery, mentored engineers, run on-call, and led design discussions across teams. Previously at Morgan Stanley, I worked on CVA risk/trading systems, rebuilding core components with off-heap memory, improving p99 latency by 40%, optimizing cache-local trade comparison algorithms, fixing deep concurrency issues, and cutting critical trade pipeline response time by 2500x. I automated ingestion pipelines using Kafka + rule-based validators, eliminating 80% manual ops work.

Experience

Flipkart

Software Engineer 2

Jul 2023Aug 2025 · 2 yrs 1 mo · Bengaluru, Karnataka, India · Hybrid

  • Assc. Lead - Payments, Walmart South Africa +
  • developed SAAS Payments - a scalable solution to outsource payments capability to external clients with varying requirements - Walmart South Africa.
JavaSpring BootMicroservicesDistributed SystemsKubernetesKafka+2

Morgan stanley

Senior Associate Technology

Dec 2021Jul 2023 · 1 yr 7 mos · Bengaluru, Karnataka, India

  • CVA Technology Developer
CVA TechnologyOff-heap memoryLatency optimizationKafkaConcurrencyDistributed Systems+1

Education

The LNM Institute of Information Technology

Bachelor of Technology - BTech — Computer Science

Jan 2016Jan 2020

Indian Institute of Technology Gandhinagar

ACM Summer School — Algorithmic Game Theory

Jul 2019Jul 2019

Udgam School for Children, Ahmedabad

High School Education

Jan 2014Jan 2016

DAV International School, Ahmedabad

SSC — Secondary Education

Jan 2011Jan 2014

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