inderjeet Singh

Senior Software Engineer specializing in Python and Distributed Systems with experience building scalable platforms from scratch in fast-paced product environments. Strong expertise in backend architecture, RESTAPIs, event-driven systems, and high-performance data processing. Designed and developed production-grade systems including a dynamic query engine for Neo4j, a configurable bulk data ingestion framework, and real-time event processing pipelines. Experienced in Kafka, Flink, Celery, CDC, and asynchronous processing for scalable backend services. Architected cloud-native and cloud-agnostic infrastructures using MinIO, Apache Iceberg, Nessie, Trino, and Hadoop, enabling distributed analytics and data lakehouse architectures. Built a near real-time computer vision platform integrating live feeds, model orchestration, tracking, and alert management. Focused on scalable system design, performance optimization, and building extensible backend platforms for high-throughput applications