Jules Padova.
Work

Research, building,
and shipping.

Experience
Applied AI for Neurotechnology 2025 —  ·  Research Engineer Applied machine-learning research for neurotechnology — neural decoding, model development, and reproducible benchmarking across real neural recordings. The work spans experimental design, neural data gathering, model comparison, and translating research prototypes toward real-world applications. Part of this work is currently confidential; more will be shared soon.
Neural decodingfMRI · fNIRS · EEG Representation learningBenchmarking
mirai. 2023 —  ·  Co-founder Co-founded mirai, an AI-assisted psychological orientation platform for teenagers and young adults. It combines psychological test data, psychological grade analysis, and language models to support career-guidance conversations — making high-quality orientation more accessible by pairing psychological expertise with reliable AI-assisted analysis. My work spans LLM engineering, product design, report generation, and the test-interpretation workflow, alongside a psychologist co-founder.
LLM engineeringProduct Report generationPsychometrics
CLIKA 2023–24  ·  Dev Strategy & Quantization Worked at CLIKA, an AI model-optimization and quantization company focused on efficient ML deployment. My role evolved from technical AI writing into developer strategy and tooling: I wrote material on quantization and efficient inference, shaped developer-facing communication, built the community, and created an early LLM-based chatbot to help developers navigate the tools and docs — alongside hands-on work on quantization and deployment workflows.
QuantizationEfficient inference Dev strategyLLM tooling
Earlier

Projects & recognition

Synthesia — early neuroAI project on neurodegenerative-disease diagnosis Project
BenchSci — Future of Pharmaceuticals consulting challenge Finalist
UNEP — air-pollution awareness & behaviour-change challenge, Mumbai Consultant
The Knowledge Society — emerging-technology & innovation programme 2021–22