SAMUEL KURIAN
samuelkurian 42 (at) gmail (dot) com | linkedin.com/in/kurian-samuel | github.com/qube1t
Portfolio: samuelkurian.notion.site
Software Engineering and Physics student with hands-on experience in Machine Learning and AI, Backend, Frontend and Firmware Systems, and High-Performance Computing, driven by a passion for solving complex real-world problems.
My interests are in: Machine Learning, High-Performance Computing, Quantum Information and Quantum Computation.
Education
The University of Auckland
Auckland, New Zealand
Bachelor of Advanced Science (Honours) in Physics
Feb. 2022 – Nov. 2027 | GPA: 8.42
Bachelor of Engineering (Honours) in Software Engineering
Feb. 2022 – Nov. 2025 | GPA: 8.64
Newlands College
Wellington, New Zealand
NCEA Level 3, Excellence Endorsed, Dux Litterarum
Graduated 2021
Experience
Software Lead / Cofounder
Jan. 2025 – Present
HYADES Space Systems
Auckland, NZ
  • Leading software at space startup focused at remote sensing and realtime geospatial analytics.
  • Developing a high performance automation pipeline for efficient geospatial data rasterizing using C++.
  • Developing and deploying Neural Networks based machine learning models for analytics.
  • Leading team of software engineers to reach MVP deadlines, and collaborating with physicists.
  • Skills: Team Building, High-Performance Computing, Machine Learning, Backend Development.
Undergraduate Research Assistant
Apr. 2024 – Present
Department of Physics, The University of Auckland
Auckland, NZ
  • Designing and developing software architecture for Free Space Optical Communication (FSOC) services.
  • Implemented a scalable backend using TypeScript and C#/.NET microservices and PostgreSQL databases.
  • Deployed using Kubernetes with a message-driven architecture (RabbitMQ).
  • Collaboration with the German Aerospace Center (DLR) and the Australian Optical Ground Station Network.
  • Skills: Distributed Systems, Full Stack Web Development, DevOps, CI/CD, Git
Software Engineer Intern
Nov. 2024 – Feb. 2025
Crown Robotics
Auckland, NZ
  • Developed responsive frontend interfaces using Angular framework with unit testing via Karma.js for automated test execution and coverage reporting.
  • Built scalable backend services using Java and Spring Boot framework, implementing RESTful APIs for seamless data communication between frontend and backend systems.
  • Conducted extensive UI testing and database operations including Elasticsearch integration for efficient data indexing, search functionality, and performance optimization.
  • Skills: Angular, Java, Spring Boot, REST APIs, Karma.js, Unit Testing, UI Testing, Elasticsearch
See LinkedIn for prior experience: Barista (Krispy Kreme, 2023)
Projects
Cloudcover Nowcasting, Physics-guided ML
Python, Tensorflow, PyTorch
Mar. 2025 – Present
  • Developing a system of models to predict short-term cloud cover from All-Sky Imager data for FSOC applications
  • Explored physics-guided U-Net and ConvLSTM architectures, along with Computer Vision applicability.
  • Employed Metamorphic Testing of deterministic algorithms and prediction models in the pipeline.
CUBAture in Rust
Rust, C++
May 2025 – Present
  • Rust implementation of parallelised cubature evaluation motivated by the C++ CUBA Library.
  • Rayon parallelisation, SIMD vectorization and application of thread safe optimisation
  • Applicable in particle and astrophysics simulation and finance.
EVolocity Competition Judge
React, Typescript, PostgreSQL, Docker, MicroPython
Mar. 2025 – Jun. 2025
  • Frontend, Backend and Firmware development of Energy Monitors for high school EV competition.
  • Networking and Multithreading of Raspberry Pi Picos to be remotely manageable from within competition.
  • Near real-time data retrieval, scoring and display in the user interface.
CrowdExams
Next.js, Redux, Firebase, Tailwind
Jan. 2024 – Nov. 2024
  • Developed a realtime collaboration service for students to study together for exams.
  • Used by 150+ students in the first year from different engineering and science departments.
See GitHub for more projects: AI controlled RPG (Java), Time Schedule optimisation algorithm (Python)
Technical Skills
Languages: Java, C#, Python, C/C++, SQL (Postgres), TypeScript, Rust, Matlab
Frameworks: React, Angular, Express.js, Node.js, FastAPI, .NET, Spring Framework, Django
Developer Tools: Git, Docker, Kubernetes, Firebase, Google Cloud Platform, OpenStack
Libraries: tensorflow, pytorch, opencv, pandas, NumPy, Matplotlib, gdal, ROS2
Publications
Awards

Resume generated in classic HTML style • Last updated: August 2025