Training AI models on videos of drones scrapped from public sources. Everyone in Europe is building ani drone systems and nobody has real data. Lots of companies operating on synthetics only.
Lots of work to automatically filter and process scraped footage into something that will train well.
Senior ML/AI Engineer & Technical Leader with 12+ years building AI/ML systems, scalable backend architectures, and document intelligence platforms. PhD in experimental Physics.
Deep expertise in diffusion models, LLMs, retrieval systems, and real-time pipelines.
Frequent conference speaker (EuroPython 2025, PyCon Lithuania 2024/2025, Data Science Summit). Organizer of AI code and coffee meetup in Warsaw.
Experienced at bridging research → production, mentoring teams, and scaling MVPs to products with significant revenue impact.
We are now moving to a post human economy. When AGI automates all human labour, the consumer i.e. the bulk of humanity stops mattering (economically speaking). It then just becomes Mega corps run by machines making stuff for each other. Resources are then strictly priorities for the machines over everything else. We are seeing this movement already with silicon wafers and electricity.
Sales - especially B2B.
I've got a strong technical background (PhD in Physics) and have been writing code for almost 15 years (most domains, with ML more recently).
I'm also comfortable with public speaking (talking a conferences, pitching etc).
I feel sales is the last piece of the puzzle I'm missing
Senior ML/AI Engineer & Technical Leader with 12+ years building AI/ML systems, scalable backend architectures, and document intelligence platforms. PhD in experimental Physics.
Deep expertise in diffusion models, LLMs, retrieval systems, and real-time pipelines.
Frequent conference speaker (EuroPython 2025, PyCon Lithuania 2024/2025, Data Science Summit). Organizer of AI code and coffee meetup in Warsaw.
Experienced at bridging research → production, mentoring teams, and scaling MVPs to products with significant revenue impact.
Collecting public datasets for training visual AI models to track and target drones.
Drones are real bastards - there's a lot of startups working on anti drone systems and interceptors, but most of them are using synthetic data. The data I'm collecting is designed to augment the synthetic data, so anti drone systems are closer to field testing
Senior ML/AI Engineer & Technical Leader with 12+ years building AI/ML systems, scalable backend architectures, and document intelligence platforms. PhD in experimental Physics.
Deep expertise in diffusion models, LLMs, retrieval systems, and real-time pipelines.
Frequent conference speaker (EuroPython 2025, PyCon Lithuania 2024/2025, Data Science Summit). Organizer of AI code and coffee meetup in Warsaw.
Experienced at bridging research → production, mentoring teams, and scaling MVPs to products with significant revenue impact.
Anonymization of PII data in documents using diffusion models - I'm in the process of reproducing academic papers. The idea is you can replace sensitive information from financial/medical documents with synthetic analogues without visually altering them, so they can be kept/used for AI training
I suspect it doesn't capture how knowledge is ingested now. I haven't read a book in over a year now. But I do read papers (academic), news articles, technical blogs and YouTube lectures.
I practically don't have the time to read for leisure - tech moves very quickly, and that takes up the bulk of my thinking/study time/energy
Can anyone recommend good science or ml people to follow on bluesky? I've moved from twitter, but haven't quite found as interesting content yet, especially with ML - seems like they are still posting on twitter
Are these tools able to automatically identify PII information or do you have to specify columns and data types manually? What happens if you have PII data in a string field? Do you just rely on something like spacy to identify the PII data?
'With nearly half of the women in the US never reaching their maternity goals, there is an urgent need for innovation' - did they just describe having children like a KPI?