rasinmuhammed
Joined 1 year ago
Karma
16
Submissions
18
Member since
Jan 12
Recent submissions
Comment · 3 days ago
Location: Kozhikode, India
Remote: Yes
Willing to relocate: Yes
Technologies: Python, FastAPI, SQL, LLM backends (RAG, evaluation, reranking), data pipelines, ML Models, TypeScript, Next.js
Résumé/CV: https://www.rasinmuhammed.tech/hire (the long version, with a small plane) / https://www.rasinmuhammed.tech/cv (the one-page version)
Email: [email protected]
AI and data engineer, about 1.5 years in industry: data engineering at JMAN Group, remote backend and LLM work for a Swedish startup. I build Misata, an open-source synthetic data tool with a web studio at https://misata.studio .
Open to engineering, product or GTM roles.
Comment · 27 days ago
This is frustrating, how careless teams are to just copy the production data. I have gone deep into this and most reason why developers go for this is that the fake data immediately available to them are not always in the same shape for them to reproduce the bugs, fro eg. relationships, skew and edge cases. Anonymisation are just a wrapper fix, because skilled hackers could deanomalise these datas accurately.
Because for medical records especially, quasi-identifiers such as dates and postcodes can be utilised to re-identify patients.
As a solo developer who is working on generated synthetic data with features to declare distribution and patterns along with checked foreign keys, I feel responsible to build my software better and distribute it to all teams that need realistic data for testing their production systems.
Atleast scoping the test bucket would have been a cheaper fix.
https://www.misata.studio · [email protected]