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Software Engineer

Box

Implementing Java + GraphQL backend for workflow automation platform in GCP environment.

• Java + GraphQL backend development
• GCP cloud infrastructure
• Workflow automation platform

Data Scientist

Capgemini

Designed and implemented fullstack agentic application for automating claim management process using LangGraph leveraging Azure cloud.

• Fullstack agentic application development
• LangGraph implementation
• Azure cloud deployment
• Claim management automation

ML Software Engineer

Mi2.AI

Designed fullstack webapp for cancer prediction models, with multistep inference logic using RabbitMQ. Implemented Java Spring backend and React TS frontend. Deployed and tested the system on GPU powered kubernetes cluster.

• Fullstack webapp development
• Java Spring backend
• React TypeScript frontend
• RabbitMQ message queue
• GPU powered Kubernetes deployment
• Cancer prediction ML models

Co-Founder / CTO

APPI

Designed and created knowledge graph based RAG system, using LlamaIndex, Langchain and Pinecone, to parse, retrieve and evaluate context from documents. Deployed with FastAPI on Azure.

• Knowledge graph based RAG system
• LlamaIndex and LangChain integration
• Pinecone vector database
• FastAPI deployment on Azure

Working Student / ML Software Engineer / Software Developer

Nokia

Designed, created and deployed reinforced learning (DDQN), PyTorch deep learning and tuned open source time series prediction models for kubernetes pod autoscaling. Designed and implemented automatic, configurable training pipelines and MIFlow based model registries on remote GPU powered remote lab. Configured Jenkins pipelines for CI/CD and Helm charts for Openshift labs.

• Reinforcement learning (DDQN) models
• PyTorch deep learning
• Time series prediction models
• Kubernetes pod autoscaling
• MIFlow model registry
• Jenkins CI/CD pipelines
• Helm charts for Openshift

Bachelor's Degree

Warsaw University of Technology

Data Science - Faculty of Mathematics and Information Science

• Calculus II
• Theory of Probability
• Statistics
• Algorithms
• ML
• Data visualization
• Databases

xLungs

Fullstack development of a medical imaging and healthcare platform for radiologists, implementing both frontend and backend components for CT image processing, organ segmentation, and report generation.

• Fullstack web application development
• Frontend and backend implementation
• Medical imaging platform
• CT scan processing pipeline
• Organ segmentation system
• Report rendering

APPI Synapse

An internal tool for information retrieval using RAG techniques, developed for the architecture and construction industries.

• Integrated React, FastAPI, and MongoDB
• Leveraged LlamaIndex and LangChain for document processing

APPI Marketplace

AI-driven expert marketplace web app with fine-tuned GPT models for context-based responses and knowledge discovery.

• Built GPT-based expert system
• Deployed with FastAPI and Docker

Terrain Segmentation Models

Developed terrain segmentation models for the CanSat competition using PyTorch and transfer learning with ResNet12.

CanSat Finalist

CanSat

Finalist in the CanSat competition for developing terrain segmentation models using PyTorch.

Mentor

BEST Hacking League

Mentored teams on BEST Hacking League hackathon in the field of AI.

• AI hackathon mentoring
• Team guidance
• Technical support

Speaker

No Code Days & University AI Clubs

Delivered lectures about fine-tuning and embeddings at No Code Days and university AI clubs.

• Fine-tuning lectures
• Embeddings presentations
• AI education

IT Volunteer / Web Developer

Co.Hana Brain Foundation

Developed and maintain the foundation's website, providing IT support for a non-profit organization promoting brain health, prevention of neurodegenerative diseases, and Alzheimer's research.

• Website development and maintenance
• IT support
• Non-profit technology solutions
• Brain health advocacy