Software developer with a background in data science, astrophysics and electronic engineering. Now working on wireless charging of EVs using C++, C#, python ...
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Assessing your cultural and operational fit
logistics_event_processing
June 25, 2026 – Present
Python logistics event processing system for GPS telemetry using RabbitMQ, Oracle PL/SQL, validation, and reporting.
View Projectaged-care-assist-foundry
June 18, 2026 – Present
Azure AI Foundry agent POC for aged-care facility search, exploring hosted agents, Agent Framework, grounding, and future MCP/RAG integration.
View Projectglobal_game_jam_2022
January 29, 2022 – February 6, 2022
Game in Rust + Bevy, theme: duality
View Projectaws-lambda-rust-cookie
January 20, 2022 – January 24, 2022
Serverless rust app that returns the location of the source IP address. Uses Amazon AWS Lambda, API Gateway, and Terraform.
View Projectaws-lambda-rust-test
January 11, 2022 – January 24, 2022
Serverless API query prototype using Rust with AWS Lambda, API Gateway and Terraform
View Projectrns.rs
October 28, 2021 – January 1, 2022
Rust port of the RNS C code. This code calculates the rotation profiles of rapidly rotating neutron stars.
View ProjectPhDThesis
October 11, 2021 – November 27, 2021
Binary Neutron Star Remnants: the most extreme matter in the Universe. This is the repo for my PhD thesis which has been examined and passed.
View Projectbmc_cpap
October 1, 2021 – December 6, 2021
Reads sd card from bmc cpap machine based on info from https://github.com/headrotor/BMC_RESmart
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards backend, scientific computing, and infrastructure (Rust, C++, Python, AWS, Terraform). While there is one frontend project, the overall breadth of projects does not strongly align with a dedicated 'Frontend Developer' role, suggesting a potential mismatch in primary interest or expertise. The projects are diverse in technology but not necessarily in the target domain.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise but do not provide insight into collaboration, problem-solving approaches, or communication style.