I’m currently working on:
Developing reinforcement learning models for automated Forex trading, designing radiometric and optical performance models for the IGNIS CubeSat payload, and building simulation frameworks for thermal infrared imaging (SNR, NETD, microbolometer behaviour, Zemax optical modelling).
I’m looking to collaborate on:
Computer vision, Earth-observation payload design, RL-based trading systems, infrared sensor modelling, radiometry/SNR analysis, and space systems simulation (Zemax, optical throughput, MTF/SNR performance).
I’m looking for help with:
Advanced reinforcement learning for financial markets, scalable training and deployment of deep RL models, and best-practice frameworks for end-to-end satellite payload performance modelling in the thermal infrared spectrum.
I’m currently learning:
Deep reinforcement learning (DQN, policy optimisation), optical system design workflows in Zemax, and statistical modelling for thermal IR remote sensing and payload performance evaluation.
Ask me about:
CubeSat payload engineering, thermal infrared cameras (FLIR Boson 640), optical system modelling, RL-based Forex trading agents, radiometric modelling and SNR estimation, Earth-observation data pipelines, and deep learning for scientific imaging.
Fun fact:
I love astronomy and physics, and I’m working toward designing satellite systems capable of monitoring volcanoes and thermal anomalies from space.
