Pavel M.

Collaborating with a team of researchers to innovate a music-focused SaaS platform that leverages cutting-edge signal processing and machine learning techniques.

I am responsible for the overall solution architecture, data extraction pipelines based on classic signal analysis, ML and CNN approaches to evaluate complex audio data. I support development of the product vision and translating of that vision into a a robust technical roadmap and lead the platform development with a small agile team, ensuring the application's architecture is robust, scalable, and ready to support future growth.

Finally, I am involved into a variety of hands-on activities:

- contributing own code (Python)

- maintaining on-premise infrastrucure (Linux)

- CI/CD (Gitlab, Docker)

Technology: Python/Flask, ML, AI, Docker, Gitlab, React.js, Three.js

Working on a national-scale project in the Middle East, my function was to bridge business requirements, product experience and software engineering and to drive the product development.

Areas of reposnibility:

- overall solution architecture

- design data models, information flows and APIs

- critical decision-making on the technology stack

- sprint planing, code reviews, maintaining the backlog and the development roadmap

- leading an agile cross-functional team of full-stack developers, devops engineers and designers,

- direct interactions with the client

- managing of the subcontractors

- hands-on coding

- Kotlin

- Node.js

- Microsoft Azure,

- Microsoft Entra, Microsoft ADB2C

- Event Diriven Architecture

- Flutter

- Decentralised Web Nodes

- Verifiable Credentials

- Self Sovereign Identity

Being part of the team from the day one I played a pivotal role in the development and launch of the company's MVP.

My contributions laid the foundation for the software product and facilitated the acquisition of the first paying client and securing of a pre-seed investment. Responsibilities:

- designing, prototyping, and implementing a sophisticated micro-service architecture for a SaaS product

- hands-on coding: Java, Node.js, Rust

- integrating hardware security modules into the security architecture,

- extending the functionality of the existing open source code base,

- deploying and running the software on AWS,

- technology stack decisions.

Technology:

- Java/Spring,

- Node.js/Typescript,

- AWS,

- Docker,

- Thales Luna HSM

- Ditributed Ledger (EVM, Algorand, Casper, IPFS)