Ahsan Waseem

About Ahsan Waseem

Backend engineer focused on designing and operating scalable distributed systems.Over the past several years, I’ve worked on high-throughput platforms that process millions of events daily using event-driven architectures and microservices. My work typically involves solving problems around Kafka scaling, idempotent workflows, system reliability, and maintaining low latency under heavy production traffic.I enjoy working on the infrastructure layer, building systems that are simple to operate, resilient to failure, and designed to scale.

Experience

1. Software Engineer Iii

   Walmart

   Nov 2023 — Present

   Driver Communication & Compensation Platform :– Lead architectural direction and reliability strategy for nationwide Driver Communication and Compensation platforms serving over 1.5M drivers, processing tens of millions of financial and messaging events daily with P95 end-to-end latency under 300ms and 99.9% uptime.– Led California Prop 22 compliance rollout supporting active drivers; designed a real-time payout engine handling high-concurrency recalculations while maintaining strict financial correctness guarantees.– Re-architected Kafka partitioning and consumer scaling strategy to eliminate throughput bottlenecks during peak bursts (2M+ outbound messages in 15 minutes), reducing delayed communications by 32% and preventing cascading consumer lag incidents.– Replaced tightly coupled cross-service transactions with idempotent, event-driven reconciliation and compensating workflows, improving fault isolation and reducing cross-service failure propagation by 40% during partial outages.– Established SLOs, production readiness reviews, and standardized observability (metrics, tracing, structured logging) across services, reducing incident detection time by 45% and improving peak-season resilience.– Partnered with product, data science, and operations stakeholders to translate regulatory and business constraints into scalable technical architecture, ensuring financial correctness while enabling rapid iteration of pricing and incentive models.– Provide technical leadership across compensation and pricing domains by leading cross-team design reviews, influencing architectural decisions across services, and mentoring engineers on distributed system reliability and event-driven patterns.

Education

• Maharishi International University

  Master's degree, Computer Science

• COMSATS University Islamabad

  Bachelor's degree, Computer Science