Yashwant Lalwani

Backend Engineer

Bengaluru, Karnataka, India1 yr 11 mos experience

Key Highlights

Built a production platform from scratch with full ownership.
Migrated payout systems to microservices, reducing update time significantly.
Achieved 99.5%+ uptime across critical backend systems.

Stackforce AI infers this person is a Backend Engineer specializing in Fintech with expertise in cloud computing and microservices.

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Skills

Core Skills

Backend DevelopmentCloud Computing

Other Skills

KotlinAmazon Web Services (AWS)Spring BootKafkaDatadogCI/CDKubernetesAWSMicroservicesAlgorithmsJavaScriptAnthropic ClaudeGitHub CopilotGrafanaPostgreSQL

About

Backend Engineer building scalable distributed systems across payments, payouts, real-time tracking, and logistics platforms. Grew from intern to owning critical backend systems, working across Payments, Partner Payouts, Location & Tracking, Allocation, and a greenfield demand aggregation platform. Highlights Built a 0 → 1 production platform (Partload) with full ownership of backend, infra, and CI/CD Migrated payout systems from monolith → microservices, reducing wallet update time (p95) from ~4 hours to <10 minutes Made tracking near real-time (p95 latency: 6.5 min → 0.14 min, ~98% improvement; refresh rate: 0 → 11.2 updates/min) Improved system reliability for systems to 99.5%+ uptime Worked in application migration for AWS → GCP and Kafka cluster migration.

Experience

1 yr 11 mos

Total Experience

Average Tenure

Current Experience

Porter

2 roles

SDE-1

Jul 2024 – Present · 1 yr 11 mos · Bengaluru, Karnataka, India · On-site

Built Partload(Order Aggregatiion) platform from scratch (0 → 1): Designed and implemented backend systems including CI/CD pipelines, Kubernetes infrastructure, Kafka pipelines, monitoring (Datadog), and ops dashboards(Appsmith); scaled to production within weeks with live routes and daily order throughput
Owned allocation & dispatch systems: Designed batch-based dispatch architecture using Kotlin, Spring Boot, and DDD; implemented state machines, async workflows, and event-driven communication across services
Improved tracking to near real-time: Reduced location latency (p95) from ~6.5 minutes to 0.14 minutes (~98% improvement) and increased location refresh rate from 0 → 11.2 updates/min, significantly enhancing live tracking experience
Improved platform reliability: Achieved 99.5%+ uptime across services by implementing circuit breakers, async processing, and better error handling across payment and tracking systems
Drove infra and cost optimizations: Reduced database size by ~260GB and Redis usage by ~75%, improving performance and lowering infrastructure cost
Executed zero-downtime migrations: Worked AWS → GCP cloud migration for payments and location service, Kafka cluster migration with no data loss using blue green consumer strategies
Improved developer velocity: Upgraded CI/CD pipelines, reducing build times by up to 70% across multiple services
Recognized with Porter Champion Award for exceptional ownership, impact, and contributions across multiple critical systems

KotlinAmazon Web Services (AWS)Spring BootKafkaDatadogBackend Development+1

SDE Intern

Jan 2024 – Jul 2024 · 6 mos · Bengaluru, Karnataka, India · On-site

Worked on Payments & Payins systems: Built and optimized payment systems across multiple vendors (Cashfree, Razorpay, Juspay, Papara), improving success rates, reducing latency, and handling international payment flows. Implemented circuit breakers and validations to make systems resilient to vendor failures.
Partner Payout Systems: Worked on payout flows for partner wallets — including vendor integrations, webhook handling, and async processing. Led the migration of the payout system from a monolith to a microservices architecture, significantly improving scalability and reliability. Reduced the p95 time for transactions to reflect in partner wallets from ~4 hours to under 10 minutes, drastically enhancing partner experience and system responsiveness.
Improved API performance: Reduced latency of payout APIs by up to ~47% through caching (auth tokens) and HTTP client optimizations (OkHttp, HTTP/2)
Built infra and developer tooling: Set up CI/CD improvements, integrated E2E and integration testing into CI pipelines, and implemented code quality and coverage tooling (SonarQube, Coveralls); improved build efficiency, test reliability, and overall code quality standards across services
Improved system reliability: Fixed production issues (timeouts, retries, webhook delays) and reduced failure rates across payment systems
Worked on security and compliance: Removed exposed secrets, migrated sensitive configs to backend, and improved overall system security