pgryko

The future of warfare is robotic warfare, specifically large volumes of cheap attritionable autonomous munitions.

Human soldiers are legacy technology that do not fare well against drones, for evidence (obligatory NSFW tag): Check reddit /r/CombatFootage/

Human soldiers are still used extensively on the battlefield - but are in the process of being replaced by machines.

Location: Warsaw, Poland (CET)

Remote: Yes (EU/US overlap fine)

Willing to relocate: Yes

Work authorization: UK/EU

Technologies: Python, PyTorch, C++, CUDA/TensorRT, NVIDIA Jetson, object detection & tracking, detection theory, ML evaluation, CV data pipelines

Résumé/CV: https://piotrgryko.com/assets/pdf/Piotr-Gryko-CV.pdf

GitHub: https://github.com/pgryko

Email: [email protected]

Physicist turned ML engineer (PhD, Imperial), 12+ years in engineering, 3+ in production computer vision. I build measurement-first CV systems: evaluation, GPU/edge inference, and training-data pipelines.

- Counter-UAS, defense-tech client: building real-time detection of few-pixel aerial targets in compressed video on Jetson under a hard latency budget, using stabilization, CFAR, and track-before-detect rather than deep models. Wrote the Pd/FROC/FAR evaluator with confidence intervals and reproducible run configs before the detector.

- Document-AI company (3 years): built GPU inference services plus the labelling and evaluation platform (versioned golden datasets, per-class F1, calibration, mislabel detection). Used it to move a new classifier from shadow mode to primary with divergence logging.

- Own production data engine: 220k publicly posted videos, 118k VLM analyses, embedding-based keyframe selection, CVAT-assisted annotation, YOLO/COCO/VOC export. Its evaluation caught a detector's accuracy collapsing from 0.875 to 0.375 and a migration costing 2.6x the "cost-neutral" estimate.

Seeking: senior/staff IC in computer vision/perception, edge/GPU inference, or ML evaluation/data infrastructure. Full-time or B2B contract; open to defense, sensing, robotics, and scientific ML.

Who exactly will you be a chef to, when all the high income jobs with disposal are automated? There are only so many oligarchs to cook for

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.

There's very strict laws against data export from Ukraine, so scraping (lower quality) data is a work around that. Ukraine is unfortunately the current laboratory for state of the art of anti drone warfare.

Lots of work to automatically filter and process scraped footage into something that will train well.

Location: Warsaw, Poland (open to remote, can relocate) Remote: Yes Willing to relocate: Yes Technologies:

AI/ML: PyTorch, Diffusion Models, YOLO, NER, LLMs (LLAMA, GPT), RAG systems, Computer Vision, Pandas, NumPy

Backend: Python, Django, FastAPI, AsyncIO, Microservices, REST APIs, C/C++, Elasticsearch, ChromaDB, Snowflake, Docker, RabbitMQ, PostgreSQL, Redis, AWS, Modal.com, ETL pipelines

Frontend: React, TypeScript, Konva.js, Plotly.js, Material UI

Other: MLflow, Optuna, DevOps (Jenkins, Ansible, Docker, AWS, DigitalOcean), Embedded (Arduino, ESP32)

Résumé/CV: https://docs.google.com/document/d/13qEnfqLrY2CeYfyGgeAq0Uin...

Linkedin: https://www.linkedin.com/in/piotr-gryko-7bb43725/

GitHub: https://github.com/pgryko

Email: [email protected]

Website: https://www.piotrgryko.com/

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

Location: Warsaw, Poland (open to remote, can relocate) Remote: Yes Willing to relocate: Yes Technologies:

AI/ML: PyTorch, Diffusion Models, YOLO, NER, LLMs (LLAMA, GPT), RAG systems, Computer Vision, Pandas, NumPy

Backend: Python, Django, FastAPI, AsyncIO, Microservices, REST APIs, C/C++, Elasticsearch, ChromaDB, Snowflake, Docker, RabbitMQ, PostgreSQL, Redis, AWS, Modal.com, ETL pipelines

Frontend: React, TypeScript, Konva.js, Plotly.js, Material UI

Other: MLflow, Optuna, DevOps (Jenkins, Ansible, Docker, AWS, DigitalOcean), Embedded (Arduino, ESP32)

Résumé/CV: https://docs.google.com/document/d/13qEnfqLrY2CeYfyGgeAq0Uin...

Linkedin: https://www.linkedin.com/in/piotr-gryko-7bb43725/

GitHub: https://github.com/pgryko

Email: [email protected]

Website: https://www.piotrgryko.com/

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

Location: Warsaw, Poland (open to remote, can relocate) Remote: Yes Willing to relocate: Yes Technologies:

AI/ML: PyTorch, Diffusion Models, YOLO, NER, LLMs (LLAMA, GPT), RAG systems, Computer Vision, Pandas, NumPy

Backend: Python, Django, FastAPI, AsyncIO, Microservices, REST APIs, C/C++, Elasticsearch, ChromaDB, Snowflake, Docker, RabbitMQ, PostgreSQL, Redis, AWS, Modal.com, ETL pipelines

Frontend: React, TypeScript, Konva.js, Plotly.js, Material UI

Other: MLflow, Optuna, DevOps (Jenkins, Ansible, Docker, AWS, DigitalOcean), Embedded (Arduino, ESP32)

Résumé/CV: https://docs.google.com/document/d/13qEnfqLrY2CeYfyGgeAq0Uin...

Linkedin: https://www.linkedin.com/in/piotr-gryko-7bb43725/

GitHub: https://github.com/pgryko

Email: [email protected]

Website: https://www.piotrgryko.com/

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

What happens when AGI is able to think better than us? Will governments close schools and universities as its no longer economically useful?

One step closer to making cystypigs from the game the outer worlds

https://theouterworlds.fandom.com/wiki/Cystypig

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?

Late stage capitalism - why would they pay athletes properly?

'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?

- nuclear drones

- another big drug breakthrough similar to ozempic

More broadly over the next decade, a technological renaissance, a sociological regression

SEEKING WORK, REMOTE

Location: Warsaw

Remote: Yes

Willing to relocate: No

Technologies: AI processing microservices (layoutllm, detectron, pytorch), Real time processing pipelines (rabbitmq, aio pika, python, docker), business logic (django, django ninja), frontend UIs (reactjs, konvas js), Devops (Ansible, Docker, Linux), Some embedded experience with C/C++

Résumé/CV: https://docs.google.com/document/d/1_7ol5xe_brjuQHVo7ZACLZlq...

Email: [email protected]

linkedin: https://www.linkedin.com/in/piotr-gryko-7bb43725/

Senior Software Engineer with 12 years experience of software development. Predominantly focused on python. I'm a quick learner and have a PhD in physics. Examples of projects worked on:

* Developed an AI document processing and anonymization platform with layoutllm, detectorn, django, django ninja, rabbitmq, OpenSearch, react, typescript, and Konvas js.

* Data processing pipelines using RabbitMQ and pydantic

* Developed a backend engineering platform with django, django rest framework, celerity, pandas, snowflake, MongoDB, and python.

* Developed a web development platform with Django, reactjs, redux + material ui, plotlyjs.

* Developed a Data Analysis platform with python, numpy, pandas, jupyter notebooks.

* Developed a Devops & sysadmin platform with docker, jenkins, digital ocean, postgres replication, ansible, elastic stack.

* Developed an Embedded Development platform with C++, arduino, ESP8266, ESP32.

* Managed a team of 3 - 4 developers.

Location: Warsaw

Remote: Yes

Willing to relocate: No

Technologies: AI processing microservices (layoutllm, detectron, pytorch), Real time processing pipelines (rabbitmq, aio pika, python, docker), business logic (django, django ninja), frontend UIs (reactjs, konvas js), Devops (Ansible, Docker, Linux), Some embedded experience with C/C++

Résumé/CV: https://docs.google.com/document/d/1_7ol5xe_brjuQHVo7ZACLZlq...

Email: [email protected]

linkedin: https://www.linkedin.com/in/piotr-gryko-7bb43725/

Senior Software Engineer with 12 years experience of software development. Predominantly focused on python. I'm a quick learner and have a PhD in physics. Examples of projects worked on:

* Developed an AI document processing and anonymization platform with layoutllm, detectorn, django, django ninja, rabbitmq, OpenSearch, react, typescript, and Konvas js.

* Data processing pipelines using RabbitMQ and pydantic

* Developed a backend engineering platform with django, django rest framework, celerity, pandas, snowflake, MongoDB, and python.

* Developed a web development platform with Django, reactjs, redux + material ui, plotlyjs.

* Developed a Data Analysis platform with python, numpy, pandas, jupyter notebooks.

* Developed a Devops & sysadmin platform with docker, jenkins, digital ocean, postgres replication, ansible, elastic stack.

* Developed an Embedded Development platform with C++, arduino, ESP8266, ESP32.

* Developed a Magento commerce development platform with php.

* Managed a team of 3 - 4 developers.

Volunteer work: I run a tech meetup in Warsaw Called AI Code and Coffee, where we helped new starters get into software development. Volunteered at Europython2023 and ran a pytorch sprint over the weekend https://ep2023.europython.eu/sprints#pytorch---tensors-and-d...

Location: Warsaw

Remote: Yes

Willing to relocate: No

Technologies: AI processing microservices (layoutllm, detectron, pytorch), Real time processing pipelines (rabbitmq, aio pika, python, docker), business logic (django, django ninja), frontend UIs (reactjs, konvas js), Devops (Ansible, Docker, Linux), Some embedded experience with C/C++

Résumé/CV: https://docs.google.com/document/d/1_7ol5xe_brjuQHVo7ZACLZlq...

Email: [email protected]

linkedin: https://www.linkedin.com/in/piotr-gryko-7bb43725/

Senior Software Engineer with 12 years experience of software development. Predominantly focused on python. I'm a quick learner and have a PhD in physics. Examples of projects worked on:

* Developed an AI document processing and anonymization platform with layoutllm, detectorn, django, django ninja, OpenSearch, react, typescript, and Konvas js.

* Data processing pipelines using RabbitMQ and pydantic

* Developed a backend engineering platform with django, django rest framework, celerity, pandas, snowflake, MongoDB, and python.

* Developed a web development platform with Django, reactjs, redux + material ui, plotlyjs.

* Developed a Data Analysis platform with python, numpy, pandas, jupyter notebooks.

* Developed a Devops & sysadmin platform with docker, jenkins, digital ocean, postgres replication, ansible, elastic stack.

* Developed an Embedded Development platform with C++, arduino, ESP8266, ESP32.

* Developed a Magento commerce development platform with php.

* Managed a team of 3 - 4 developers.

Volunteer work: I run a tech meetup in Warsaw Called AI Code and Coffee, where we helped new starters get into software development. Volunteered at Europython2023 and ran a pytorch sprint over the weekend https://ep2023.europython.eu/sprints#pytorch---tensors-and-d...

SEEKING WORK | London

Technologies: Fullstack + devops. Python, Django, FastAPI, Pydantic, Pandas, Jupyter notebooks, Reactjs, Typescript, Postgresql, Ansible, Docker, Microservices, Linux. Some embedded experience with C/C++

Résumé/CV: https://docs.google.com/document/d/1ag5S_2ZMuu-d4sPu98a7bGxd...

Email: [email protected]

linkedin: https://www.linkedin.com/in/piotr-gryko-7bb43725/

Senior Software Engineer with 12 years experience of software development. Predominantly focused on python. I'm a quick learner and have a PhD in physics. Examples of projects worked on:

* Developed a document processing and anonymization platform with django, django ninja, react, typescript, and Konvas js.

* Data processing pipelines using RabbitMQ and pydantic

* Developed a backend engineering platform with django, django rest framework, celerity, pandas, snowflake, MongoDB, and python.

* Developed a web development platform with Django, reactjs, redux + material ui, plotlyjs.

* Developed a Data Analysis platform with python, numpy, pandas, jupyter notebooks.

* Developed a Devops & sysadmin platform with docker, jenkins, digital ocean, postgres replication, ansible, elastic stack.

* Developed an Embedded Development platform with C++, arduino, ESP8266, ESP32.

* Managed a team of 3 - 4 developers.

Location: London

Remote: Yes

Willing to relocate: No

Technologies: Fullstack + devops. Python, Django, FastAPI, Pydantic, Pandas, Jupyter notebooks, Reactjs, Typescript, Postgresql, Ansible, Docker, Microservices, Linux. Some embedded experience with C/C++

Résumé/CV: https://docs.google.com/document/d/1ag5S_2ZMuu-d4sPu98a7bGxd...

Email: [email protected]

linkedin: https://www.linkedin.com/in/piotr-gryko-7bb43725/

Senior Software Engineer with 12 years experience of software development. Predominantly focused on python. I'm a quick learner and have a PhD in physics. Examples of projects worked on:

* Developed a document processing and anonymization platform with django, django ninja, react, typescript, and Konvas js.

* Data processing pipelines using RabbitMQ and pydantic

* Developed a backend engineering platform with django, django rest framework, celerity, pandas, snowflake, MongoDB, and python.

* Developed a web development platform with Django, reactjs, redux + material ui, plotlyjs.

* Developed a Data Analysis platform with python, numpy, pandas, jupyter notebooks.

* Developed a Devops & sysadmin platform with docker, jenkins, digital ocean, postgres replication, ansible, elastic stack.

* Developed an Embedded Development platform with C++, arduino, ESP8266, ESP32.

* Managed a team of 3 - 4 developers.

I use gpt4 for summarizing git diffs into commits (llama3 via groq also works nicey).

Those then get used as part of my end of day report.

Example code: https://www.piotrgryko.com/posts/git-conventional-commit-gpt...

Location: Europe

Remote: Yes

Willing to relocate: No

Technologies: Fullstack + devops. Python, Django, FastAPI, Pydantic, Pandas, Jupyter notebooks, Reactjs, Typescript, Postgresql, Ansible, Docker, Linux. Some embedded experience with C/C++

Résumé/CV: https://docs.google.com/document/d/1ag5S_2ZMuu-d4sPu98a7bGxd...

Email: [email protected]

linkedin: https://www.linkedin.com/in/piotr-gryko-7bb43725/

Polyglot Software Engineer with 15 years experience of software development. Predominantly focused on python. I'm a quick learner and have a PhD in a STEM field. Examples of projects worked on:

* Developed a document processing and anonymization platform with django, django ninja, react, typescript, and Konvas js.

* Data processing pipelines using RabbitMQ and pydantic

* Developed a backend engineering platform with django, django rest framework, celerity, pandas, snowflake, MongoDB, and python.

* Developed a web development platform with Django, reactjs, redux + material ui, plotlyjs.

* Developed a Data Analysis platform with python, numpy, pandas, jupyter notebooks.

* Developed a Devops & sysadmin platform with docker, jenkins, digital ocean, postgres replication, ansible, elastic stack.

* Developed an Embedded Development platform with C++, arduino, ESP8266, ESP32.

* Developed a Magento commerce development platform with php.

* Managed a team of 3 - 4 developers.

Volunteer work: I used to run a tech meetup in Warsaw Called code and coffee, where we helped new starters get into software development. Volunteered at Europython2023 and ran a pytorch sprint over the weekend https://ep2023.europython.eu/sprints#pytorch---tensors-and-d...

Location: Europe

Remote: Yes

Willing to relocate: No

Technologies: Fullstack + devops. Python, Django, FastAPI, Pydantic, Pandas, Jupyter notebooks, Reactjs, Typescript, Postgresql, Ansible, Docker, Linux. Some embedded experience with C/C++

Résumé/CV: https://docs.google.com/document/d/1ag5S_2ZMuu-d4sPu98a7bGxd...

Email: [email protected]

linkedin: https://www.linkedin.com/in/piotr-gryko-7bb43725/

Polyglot Software Engineer with 12 years experience of software development. Predominantly focused on python. I'm a quick learner and have a PhD in a STEM field. Volunteer work: I used to run a tech meetup in Kyiv Called code and coffee, where we helped new starters get into software development. Volunteered at Europython2023 and ran a pytorch sprint over the weekend https://ep2023.europython.eu/sprints#pytorch---tensors-and-d...

I'm also open to ideas. My girlfriend's elderly parents are based in Irpin, so I'm worried about heat outages. I've got them a battery powerstation, but even the large ones seem to have a limit of ~1000 watts, whilst a small heater pulls 2000 watts.

I'm contemplating getting a diesel generator, to share amongst them and their neighbours, but it's less than ideal as the generator has to be outside (for ventilation) and their apartment block doesn't have balconies.

I'm guessing that Poe.com uses the GPT4 api - I struggled to get similar quality answers from GPT4 api vs their web interface. A google wasn't very helpful, suggesting using a temperature of 0.7 and a custom prompt.

Mostly I wanted to use GPT4 api via the terminal on chunks of text, but was not able to get the same quality as the UI.

I'm open to suggestions

Location: Europe, Poland

Remote: Yes

Willing to relocate: No

Technologies: Fullstack + devops. Python, Django, FastAPI, Pydantic, Pandas, Jupyter notebooks, Reactjs, Typescript, Postgresql, Ansible, Docker, Linux. Some embedded experience with C/C++

Résumé/CV: https://docs.google.com/document/d/1ag5S_2ZMuu-d4sPu98a7bGxd...

Email: [email protected]

linkedin: https://www.linkedin.com/in/piotr-gryko-7bb43725/

Polyglot Software Engineer with 12 years experience of software development. Predominantly focused on python. I'm a quick learner and have a PhD in a STEM field. Volunteer work: I used to run a tech meetup in Kyiv Called code and coffee, where we helped new starters get into software development. Volunteered at Europython2023 and ran a pytorch sprint over the weekend https://ep2023.europython.eu/sprints#pytorch---tensors-and-d...