Team
NonNonProfit
This team is at maximum capacity.
Project Concept
We have a couple of ideas and we haven’t decided yet
Feel free to talk to our AI agent about our experience and ideas for the hackathon.
Based on our experience in insurance, staffing, and logistics, here are three powerful concepts we’re exploring:
1. Advanced Insurance Claims Processing
Goal: Reduce claims processing time from 72 hours to 15 minutes by using reasoning models to analyze documentation and detect potential fraud.
Impact: Disrupting a $300B US insurance market with faster, smarter claim resolutions.
2. Real-Time Logistics Scheduling
Goal: Shrink manual scheduling from 4 hours to 15 minutes using reasoning-enabled AI that integrates multimodal transport data for seamless delivery planning.
Impact: Revolutionizing a $500B logistics market with real-time adaptability and precision.
3. Intelligent Candidate Matching for Workforce Agencies
Goal: Cut candidate screening from 48 hours to 10 minutes by leveraging reasoning models that evaluate skills, experience, and role fit with high accuracy.
Impact: Unlocking efficiency in the $50B global hiring industry by matching talent to roles at speed and scale.
Entry
Status: Submitted
Last saved: April 26 at 5:59 PM CEST
Team Roster (team is at max capacity)
Message board not available for this team yet.
Jan Molski Team Lead RSVP Approved
Founder at LegalParrot.ai
Slides, business side and mental support
Vibe coder, founder.
I lead 12 people AI R&D Team at Accenture - AI Agents and automations in banking and insurance.
Losing couple nights a week from vibe-coding (Claude Code & Lovable)
6+ years in AI and consulting (Visa Innovation Studio, Various startups, Accenture).
I work as an AI consultant working with Polish and US clients.
Graduated Management & AI with thesis: "Knowledge Based AI Chatbots - Business Applications"
Process automations with agentic systems combined with RPA.
Voicebots & Call center automations.
Banking, insurance use cases.
Legalparrot.ai - Phone intake agent for law firms.
Diffusion models for fashion e-commerce stores (product images, marketing photos, photoshoots)
Process automations with agentic systems combined with self-healing RPA.
NerdNet platform - GraphRAG on all Polish PhD researchers (won IDEA HACK 2024)
Stanisław Cronberg RSVP Approved
Senior ML Engineer at deepsense.ai
Frontend
Stanislaw Cronberg is a Machine Learning Engineer with experience at deepsense, Appotype, Digica, ViaBill and SAS. He holds a Bachelor of Science in Mathematics from the University of Exeter and is a candidate for a Master's Degree in Artificial Intelligence from the University of Bath. Stanislaw participated in the EnsembleAI Hackathon, securing third and first place in certain tracks.
Machine Learning, ML Security, Linear Algebra, Combinatorics, Graph Theory, Number Theory, Cryptography, Galois Theory, Real & Complex Analysis, Statistical Modeling, Probability Theory, Computer Vision, NLP, Reinforcement Learning, Geographic Information Systems (GIS), Docker, XGBoost, Kedro, Microsoft SQL Server, PostgreSQL, Amazon Web Services (AWS), PyTorch, TensorFlow, MLflow.
Recently tinkered with research around watermarking auto-regressive video generation models at CISPA in Germany. Tinkering now with effective spaced repetition flashcard tools for learning on knowledge graphs. Extremely interested in projects around the EdTech space.
Norbert Jaworski RSVP Approved
Business AI Architect at PKO BP
Backend
Born in 1999 chasing technology and computers ever since. I am currently trasnforming digital worfklows in banking and finance for AI use cases and general Data Management and compliance in PKO BP.
Bachelor of software engineering at PJATK Warsaw, Master of Data Science at University of Warsaw.
In free time searching for all of the use cases for LLMs
LLM applications, machine vision, Web applications, Data Science and Statistics, microservices, thriller and crime books, gym, spectacular movies, playing tennis, travelling
Agentic Workflows, full on life automations, life copilot;
getting everything that can be done without human interaction to run automatically.
stealthy start up
Vladimir Kirilenko RSVP Approved
Senior MLE at Deepsense
Backend
Born in 2003 in Moscow, was involved in competitive robotics since 2014, slowly transitioning into CV and later general ML. Came to Poland in 2021 as a student (CS, Uni of Łódź), currently doing masters at the same place and working parallel. Also developing a startup with a couple of friends, trying to make benchtop NMR great again
- Computer vision (any kind of, but in love with the classical/non-ML approaches)
- NLP for information retrieval
- Robotics
- Hierarchical multi-label recognition for medical CT & MRI
- Zero-shot search engine for clinical reports
- Universal NMR processing system with novel methods
- Automatic iterative redundancy reduction in CNNs
Jakub Sobolewski RSVP Approved
Founder at Paradigm
Figuring out who should do what and backend
Jakub Sobolewski is an AI Engineer at BlueSoft and Founder of Paradigm, a dev tool for understanding code. He has 4 years of experience and is interested in AI Agents and classic ML.
Startups, Agentic systems, Classic ML
Prop tech