Experience
Applied AI for Neurotechnology
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.
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
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
BenchSci — Future of Pharmaceuticals consulting challenge
UNEP — air-pollution awareness & behaviour-change challenge, Mumbai
The Knowledge Society — emerging-technology & innovation programme