Rajesh User

I am a software engineer with experience building configuration driven execution frameworks, distributed pipelines, and applied ML-powered applications. I design middleware orchestration, async processing workflows, and scalable APIs for complex data ingestion and inference-oriented use cases.

At e2open Wisetech Global, I developed core components of a middleware layer that orchestrates thousands of daily transactions and routes data between external ingestion systems and a core supply chain platform. I implemented a configuration-driven execution framework using XML and Groovy to reduce application code changes when onboarding or updating customer-specific processing rules.

On personal projects, I built a distributed AI image forensics platform with dual-model TensorFlow inference (classification and pixel-level localization) and a production-grade asynchronous inference architecture using BullMQ and Redis. I also developed an LLM-powered web summarization system with a multi-strategy ingestion pipeline, vector-based deduplication, and intelligent rendering fallbacks.

I own systems end-to-end, spanning execution frameworks, data processing layers, and user-facing tooling, and I focus on robustness, scalability, and clear operational semantics to enable safe, efficient production deployments.