Andrii Polishchuk

RAG/LLM and ML/Data Engineer in applied cryptography and cryptanalysis, designing research-grade RAG architectures and formalised mathematical reasoning pipelines. Focused on data-driven cryptanalysis, structural analysis of digital signature and key-generation systems, and large-scale analytical and simulation frameworks using ML/DL and distributed computing.

Big Data Engineer with 5 years of experience delivering end-to-end ETL pipelines and data platforms across cybersecurity, mining, telecom, online publishing, and digital marketing domains. Specialised in scalable data processing with Spark and cloud ecosystems (Azure, GCP), including orchestration, deployment, and performance optimisation.

Big Data Engineer in the e-commerce domain, developing and optimising ETL pipelines and performance-focused data solutions aligned with business requirements. Worked with Scala, Python, SQL, Spark, and Azure (ADF/Databricks), delivering analytics and visualisation-ready datasets.

Blockchain Developer specialising in cryptographic protocols and blockchain services, with a focus on optimising algorithms such as ECDSA and SHA-256 using applied mathematics and algorithmic techniques. Implemented distributed computing solutions for cryptographic workloads using Python, C, and Linux-based toolchains.

Software Engineer delivering enterprise solutions in healthcare, finance, and HR domains, focused on refactoring, performance optimisation, and development of web and desktop modules within distributed multi-database architectures. Contributed to complex system integration and mentored junior engineers using the Microsoft stack (C#, ASP.NET MVC, MS SQL) and related tools.

Worked as an independent engineer and IT-consultant in different roles, namely the computers maintenance and software support.

Software Engineer developing Windows desktop solutions for production control and financial management in the oil and gas industry. Built WinAPI-based systems with real-time measurement and RS-232/Ethernet data integration, using C/C++, Delphi, and MS SQL.