Novelty-Driven Engineering
I chase high-leverage ideas early, prototype quickly, and turn unconventional concepts into working systems.

Nalin Angrish
Systems Engineer • Robotics Builder
From rapid distributed prototypes to autonomous robotics pipelines, I focus on systems that are ambitious, fast-moving, and built to become real products.
10+
deployed builds
4
core domains
24/7
build velocity
Engineering Signature
I chase high-leverage ideas early, prototype quickly, and turn unconventional concepts into working systems.
From daemons and IPC to distributed control paths, I build scalable architecture without slowing down iteration.
I optimize execution speed across planning, coding, and deployment so ambitious systems ship faster.
I connect control systems, perception, and ML pipelines into deployable autonomous behavior, not just demos.
About The Builder
I started by pulling systems apart just to understand how they worked. That curiosity evolved into building complete technical stacks, from low-level software and distributed components to robotics and AI-driven autonomy.
Today my focus is clear: create novel systems quickly, validate aggressively, and turn high-velocity prototypes into robust engineering outcomes across distributed systems, robotics, and AI.
I prioritize unconventional ideas that open up new capabilities, not only incremental improvements.
I move quickly from concept to working prototype, then iterate with hard technical feedback.

Current Direction
Distributed Systems, Robotics, and AI with rapid execution.
Novel distributed systems and fast prototype loops
B.Tech Mechanical Engineering, IIT Ropar (2023-2027)
Expertise Map
I engineer end-to-end systems across distributed software, robotics, and AI with a focus on rapid development and ambitious technical scope.
Designing unconventional software systems quickly, then shaping them into production-ready architecture.
Building scalable control planes and backend paths for high-velocity engineering environments.
Engineering autonomous behavior by integrating control, sensing, and robust software loops.
Shipping AI capabilities inside real systems with strong integration into robotics and infrastructure.
Project Lab
Projects where I explore novel systems, distributed architecture, robotics autonomy, and applied AI with rapid execution.

Cloud Manager is a full-stack platform that uses LLMs to convert natural language into structured cloud operations with real-time tracking and executi...

GPUMan is a reliability tool designed for shared GPU environments, that prevents misbehaving processes from triggering a catastrophic, system-wide CUD...

FlexNN is a C++ POC Library, that can be used to develop and train fully connected neural networks with a flexible n-layer design and multiple activat...