SUMMARY

Enthusiastic Software Engineer with experience in backend development, specializing in Java, Kotlin, Go, and Python. Skilled in building low-latency distributed systems, designing microservices connected with Kafka, and implementing DevOps processes (CI/CD, Kubernetes, Docker, Jenkins, Terraform). Strong background in database management (PostgreSQL, Cassandra, MySQL, MongoDB, Redis) and cloud platforms (AWS, GCP, Linux administration). Passionate about developing scalable, performative backend software for high-volume platforms.

PROFESSIONAL EXPERIENCE

Walmart Hoboken, NJ

Software Engineer - Anomaly Detection Team, Walmart Online Marketplace March 2024 - Present

Engineered and maintained a high-throughput, real-time pricing anomaly detection pipeline using Kotlin, Java, and Kafka, integrating data science engines, Seller Center, and diverse pricing sources, while implementing logics like PPU tier validation, cross-region deviation checks, seller undercut detection, DS score orchestration, dedup/cool-off gating, and severity-based routing.

Designed and executed architectural changes to transform synchronous calls into asynchronous processes, reducing P99 latency from 1200 ms to 310 ms.
Optimized system performance by 30% by deduplicating message queue events and implementing early termination logic, significantly reducing CPU time and mitigating excessive data science calls.
Architected and maintained robust, scalable backend infrastructure, applying expertise in Kafka and Cassandra internals to deliver highly available and fault-tolerant operations.
Automated secure Kubernetes deployments through robust CI/CD pipelines (Jenkins, GitHub, Helm), enabling rapid and reliable software releases while proactively managing and optimizing Kafka message queues for high-volume data ingestion.
Utilized Spring Boot for streamlined microservices development and efficient dependency management, centralizing and securing sensitive application configurations with Vault in adherence to financial services security best practices.
Leveraged Google Cloud Platform (Cloud Storage, BigQuery) in combination with Hadoop enhanced by Hive, to provide timely on-call support. Scheduled Airflow jobs to improve data accessibility for critical audit and performanßce analysis.

Tesla

Software Engineer Intern - Material Flow System Team, Gigafactory Tech July 2021 - October 2021

Developed and maintained a Go/Gin backend data platform for the Material Flow System, implementing RESTful APIs across multiple microservices and reducing database load by 29%.
Leveraged Kafka for reliable, asynchronous event handling, seamlessly integrating downstream services.
Centralized client-server communication via an API Gateway, providing a single routing layer for traffic management and enabling standardized security, monitoring, and rate-limiting across all microservices.
Employed AWS services—S3, DynamoDB, RDS, EC2, and Lambda with EventBridge Scheduler—to build a scalable, cloud-based architecture.
Strengthened application security with JWT and session-cookie–based RBAC (Role-Based Access Control).

Xiaomi

Software Engineer Intern - MIUI Privacy Center May 2021 - July 2021

Developed Java-based privacy protection features (e.g., Secure Sharing, Privacy Shield) for generic Android XiaomiUI under AOSP guidelines, ensuring compliance with global privacy standards.
Built secure backend APIs using Spring Boot to manage sensitive user data within Xiaomi’s IoT ecosystem.
Owned the development and maintenance of the Secure Sharing module, allowing users to remove metadata (e.g., location, timestamps) before exporting files to external platforms.
Optimized system performance by resolving glitches and addressing abnormal power consumption, utilizing Profiler to pinpoint and fix memory leaks.