STANISLAW BARANSKI
[email protected] stan.bar /stanbar /in/stanbar ORCID
About Me
Software Engineer with a strong research background in blockchains, privacy-preserving distributed systems, applied cryptography, MPC, and threat modeling. Nearly a decade of full-stack engineering experience, shipping and maintaining production systems used by hundreds of thousands of users. I translate rigorous security and trust models into implementable system architectures and tooling. PhD in Computer Science (expected 2026).
Experience
Gdansk University of Technology
Research Engineer (Privacy/Security Systems)
10.2020 - present
- Built a trust quantification framework to compare distributed systems under explicit adversarial and collusion assumptions; formalized attacker capabilities, trust boundaries, and failure predicates to evaluate correctness, privacy, and liveness for sensitive services.
- Developed Federated Distributed Key Generation (FDKG), explicitly motivated by liveness and trust-boundary weaknesses in classic DKG under adversarial network conditions; defined formal threat models and collusion scenarios, provided security proofs, and implemented Rust-based experiments to evaluate robustness under realistic failure and attack assumptions.
- Designed and prototyped many privacy-preserving protocol schemes for sensitive services, combining blockchains with verifiable privacy-preserving computation, including Stellot — a privacy-preserving internet voting system on the Stellar blockchain.
- Designed and implemented a Go-based Hyperledger Fabric chaincode and an experimental orchestration/evaluation module for a blockchain-backed industrial/IoT monitoring system.
- Designed experimental LLM-assisted pipelines to support structured analysis of protocol/security artifacts.
- Prototyped and evaluated privacy-enhancing ML inference / secure computation components (research prototypes and evaluation tooling).
- Delivered university-level courses in Cryptography and Blockchain Technologies; supervised student projects and research prototypes.
Skills:
Applied Cryptography
·
MPC
·
Distributed Systems
·
Blockchain
·
Threat Modeling
·
Secure Protocol Design
·
Go
·
Python
·
TypeScript
·
Circom
·
Docker
·
Linux
stanbar sp. z o.o. (self-employed / founder)
Founder | Software Engineer (Full-stack / Mobile)
2014 - present (part-time since 2020)
- Built and scaled a consumer mobile product (vapetool.app): 3M+ downloads, ~200k active users, 4.8 rating.
- Owned end-to-end delivery and operations for consumer-scale products, including CI/CD, managed monitoring/alerting (Firebase/Google Cloud).
- Delivered B2B projects including backend engineering for a cryptocurrency tax settlement app.
- Led lightweight project management, vendor coordination, and commercial partnerships.
- Developed and operated a delta-neutral AMM strategy (R&D / quantitative experimentation).
Skills:
Android
·
Kotlin
·
Java
·
TypeScript
·
Node.js
·
React
·
Firebase
·
MongoDB
·
Python
·
Product Engineering
·
DevOps
Education
PhD in Computer Science (expected)
10.2020 - 06.2026
Thesis: Trustworthy and Privacy-Preserving Protocols in Distributed Systems for Sensitive Services
Supervisor: Julian Szymański
MSc in Computer Science
03.2019 - 09.2020
Thesis: Blockchain-based mitigation of content poisoning attacks in information-centric networks
Supervisor: Jerzy Konorski
BEng in Computer Science
09.2015 - 02.2019
Thesis: Bitcoin wallet with multi-factor hybrid hardware-network authentication
Supervisor: Tomasz Gierszewski
Publications
Selected articles
S.
Baranski,
J.
Szymanski,
"Federated Distributed Key Generations",
Future Generation Computer Systems,
2025.
Demo: fdkg.stan.bar
S.
Baranski,
J.
Szymanski,
M.
Higinio,
"Anonymous provision of privacy-sensitive services using blockchain and decentralised storage",
International Journal of Information Security,
2025.
Demo: anonser.stan.bar
S.
Baranski,
"A Survey on Privacy-Preserving Machine Learning Inference",
TASK Quarterly,
2025.
Demo: ppml.stan.bar
S.
Baranski,
M.
Dotan,
A.
Lotem,
M.
Vald,
"Haze and Daze: Compliant Privacy Mixers",
preprint,
2023.
Speaker at conferences
Title: Mitigation of Fake Data Content Poisoning Attacks in NDN via Blockchain
