AI, Data and Cloud enthusiast building large-scale data pipelines and agentic AI systems. Years of data engineering experience in Marketing & Business and Satellite data.
I am Shrey Niraula, a data engineer and computer science graduate. Growing up in Japan, I spent countless hours around games and computers, which sparked a curiosity about how software works and eventually inspired me to start building things of my own.
That curiosity guided me through Electronics Engineering and into a career centered on data, software, and AI. Today, I work at the intersection of data engineering and agentic systems, exploring how intelligent applications can combine reliable data foundations with autonomous reasoning and decision-making.
Having spent part of my childhood in Japan, I still enjoy keeping up with the language and culture. Outside of work, you will usually find me watching films and anime, listening to music, or diving into whatever new curiosity has captured my attention.
Python 
Spark 
MySQL 
Redshift 
Dremio 
Iceberg 
Flask 
Git 
RESTful APIs 
React 
Linux 
Ollama 
Pandas 
NumPy Thesis: Agentic Cloud Decision Framework, multi-agent local LLM orchestration and tool-augmented reasoning for large-scale NASA cloud storage.
Ncell Excellence Cash Award (2019) for topping the consecutive 3rd and 4th semesters.
Multi-agentic systems via local LLMs, with typed outputs, deterministic verification, and a self-correction loop, producing auditable results.
A graphics project that simulates ABU Robocon 2019 robots and the arena to find the best robot configuration for the competition.