About

Core strengths

Research to production

I turn AI/ML ideas into evaluated, reproducible and deployable systems, from problem definition and prototyping through production rollout and iteration.

Architecture, performance and reliability

I own critical system design, identify bottlenecks and failure modes, and translate findings into concrete engineering improvements.

Technical leadership and founder execution

I lead design and code reviews, mentor engineers and define technical standards, and have owned product/technology fit, grant writing, hiring and customer-facing delivery as a CTO and co-founder.

Experience

1. 06.2024 — 08.2026

   Staff Machine Learning Engineer / AI Platform Architect

   Panasonic, Global Applied AI · Remote

   • Architected and built the core Agent SDK for KanpAI, Panasonic's enterprise agentic AI platform, defining the agent packaging model, runtime contracts, secure deployment flow and developer experience for BYOA/BYOM use cases.
   • Designed and built backend services for agent deployment, orchestration and lifecycle management across multi-tenant environments, enabling consistent execution across cloud, on-prem, edge and disconnected contexts.
   • Created the Agent CLI for packaging, validating and securely deploying agents, including dependency checks, tenant and environment configuration, secrets handling and release safeguards.
   • Designed massively parallel, at-least-once processing for multi-agent invocation workflows, with in-order processing guarantees where required.
   • Built observability and evaluation for agentic workflows: tenant-scoped monitoring, model latency and cost tracking, API/SDK evaluation hooks and LLM-as-a-judge regression workflows.
   • Helped scale KanpAI to 20+ agents across 10+ domains, 20+ model families and 30+ training datasets, supporting 70+ concurrent enterprise users during live workshops and hackathons.

2. 10.2020 — Present

   Founder / Researcher

   Causality · Roosters · Remote · Wrocław

   • Define R&D direction for ML systems, with emphasis on causal reasoning, semantic search, synthetic data generation, graph processing and decision-support tooling.
   • Write research and grant scopes, convert hypotheses into implementation milestones, and validate prototypes against concrete product and technical risks.
   • Stay hands-on with architecture, model evaluation, experimental software and technical communication with partners and stakeholders.

3. 10.2020 — 06.2024

   Staff Engineer

   StashAway · Remote

   • Redesigned investment processing pipelines serving hundreds of thousands of customers, simplifying data flow and execution strategy to make end-to-end runs more than 2× faster.
   • Optimised portfolio rebalancing algorithms and batch execution paths, making rebalancing pipelines 2× faster while preserving correctness, auditability and operational controls.
   • Owned staff-level architecture for JVM-based investment and platform services, translating broad product and operational requirements into APIs, migration plans and delivery milestones.
   • Improved reliability of critical fintech workflows through stronger test coverage, observability, rollback safety and incident follow-up.

4. 03.2018 — Present

   Staff Full-stack Developer, AI Engineer, Freelancer

   Toptal · Remote

   • Member of the top-3% global developer network.

5. 05.2017 — 09.2020

   CTO, Co-founder

   IamBot (Techstars company) · Wrocław

   • Co-founded the company and owned the technical roadmap for conversational-AI products, from prototype to customer-facing deployments.
   • Built the core NLP and dialogue stack, the integration layer and the deployment process, while hiring, mentoring and leading the engineering function.
   • Translated customer discovery into product experiments, prioritising features that improved delivery speed, bot reliability and measurable customer value.

6. 08.2015 — 09.2016

   Research Assistant

   Wrocław University of Science and Technology · Wrocław

   • Researched distributed processing of networked data and NLP methods, contributing to publications, grant work and experimental software.

7. 07.2013 — 07.2015

   Software Engineer / Software Architect

   Nokia Networks · Wrocław

   • Designed and implemented telecom software components, progressing from software engineering to architecture-level responsibility while improving maintainability, testing and code ownership.

8. 05.2012 — 07.2013

   Web Developer

   Chop-Chop.org · Wrocław

   • Delivered client-facing web applications and built foundations in frontend and backend delivery, code quality and customer communication.

Publications

9 publications across NLP, graph and network science, distributed data processing and representation learning, including work in Advances in Neural Information Processing Systems, Neurocomputing, and IEEE and Springer LNCS venues. All indexed on Google Scholar. Eight research and R&D projects. R&D leader and author for synthetic data generation, semantic search and dialogue-system projects; participant in RENOIR (H2020-MSCA-RISE) and ENGINE (FP7).

1. 2022

   This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish

   Advances in Neural Information Processing Systems 35, 21805–21818

   L Augustyniak, K Tagowski, A Sawczyn, D Janiak, R Bartusiak, …

2. 2019

   WordNet2Vec: Corpora agnostic word vectorization method

   Neurocomputing 326, 141–150

   R Bartusiak, Ł Augustyniak, T Kajdanowicz, P Kazienko, M Piasecki

3. 2018

   Distributed Processing of Networked Data

   Encyclopedia of Social Network Analysis and Mining, 662–668

   P Kazienko, W Indyk, T Kajdanowicz, R Bartusiak

4. 2017

   On quality assessment in Wikipedia articles based on Markov random fields

   Asian Conference on Intelligent Information and Database Systems, 782–791

   R Kleminski, T Kajdanowicz, R Bartusiak, P Kazienko

5. 2017

   Distributed Processing of Networked Data

   Encyclopedia of Social Network Analysis and Mining, 1–7

   P Kazienko, W Indyk, T Kajdanowicz, R Bartusiak

6. 2016

   Choose a job you love: predicting choices of GitHub developers

   IEEE/WIC/ACM International Conference on Web Intelligence, 200–207

   R Nielek, O Jarczyk, K Pawlak, L Bukowski, R Bartusiak, A Wierzbicki

7. 2016

   Cooperation prediction in GitHub developers network with restricted Boltzmann machine

   Asian Conference on Intelligent Information and Database Systems, 96–107

   R Bartusiak, T Kajdanowicz, A Wierzbicki, L Bukowski, O Jarczyk, …

8. 2015

   Sentiment analysis for Polish using transfer learning approach

   Second European Network Intelligence Conference, 53–59

   R Bartusiak, L Augustyniak, T Kajdanowicz, P Kazienko

9. 2015

   Sentiment analysis based on collaborative data for Polish language

   International Conference on Cooperative Design, Visualization and Engineering

   R Bartusiak, T Kajdanowicz

Skills

AI / ML

Agentic AI, NLP, semantic search, synthetic data, graph ML, representation learning, model evaluation, LLM evaluation

Systems

Distributed systems, event-driven systems, multi-tenant architectures, high-throughput processing, backend platform design

Programming

Python, Kotlin, Java, Scala, Rust, C++, JavaScript/Node.js, Bash

Platforms / tooling

Docker, ArgoCD, Helm, RDS, Spark, Akka, Micronaut, Spring, GitLab CI, Jenkins, Git

Engineering

System architecture, performance profiling, TDD, DDD, functional programming, observability, CI/CD, safe refactoring