At Tata Consultancy Services, I work on a cargo logistics and port operations management system. I designed rail-planning validations for weight, wagon capacity, and container placement, and built REST APIs for planning and allocation.
I also developed Kafka event flows for rail loads, discharges, and container-deletion synchronization. My work includes sequence-driven wagon mapping and twin-container planning using business rules and weight-based algorithms.
On my AI Knowledge Assistant project, I built a document assistant with Java, Spring Boot, Gemini, RAG, and pgvector. Redis caching reduced repeated-query latency by about 78%, and I implemented Kafka-based asynchronous document processing.
