Summary
Palash Kundu is a senior technologist with over a decade of experience designing cloud-native systems and low-level high-performance software, currently leading engineering efforts at Infosys from Bengaluru. He blends AWS architecture and full-stack development with deep systems work—authoring iron_learn, an open-source Rust library that implements GPU-accelerated tensor ops and custom CUDA kernels. His background includes building SCADA protocols, DSL compilers and memory-efficient in-memory caches for GE Renewable Energy’s flagship wind platforms, demonstrating experience across hardware-adjacent and distributed systems. Comfortable across languages (Rust, Python, Java, Go, C#) and stacks (React, Postgres, Spark, Docker), he moves seamlessly from LLM fine-tuning and time-series forecasting to production microservices. A GE Technical Excellence Award recipient and active OSS maintainer, he pairs hands-on engineering with mentoring and project governance. Notably, he combines manual memory management via Rust FFI with practical cloud deployments—rarely seen together at this scale.
10 years of coding experience
13 years of employment as a software developer
Higher Secondary Science, Higher Secondary Science at Bardhaman Sri Ramkrishna Saradapith Uchcha Vidyalaya
Bachelor of Technology (B.Tech.) Information Technology, Bachelor of Technology (B.Tech.) Information Technology at College of Engineering and Management, Kolaghat
English, Hindi, Bengali