Nikita
Kuzmin
Software Engineer
I build performance-minded software in Rust and C++, and machine-learning work in Python-from low-level systems and native tooling to models, data pipelines, and experiments. I care about correctness, measurable performance, and code that stays maintainable as problems grow.
About
I'm a software engineer who spends most of my time in Rust and C++ for systems and native projects, and in Python for machine learning-models, data pipelines, and experiment workflows. I gravitate toward work where correctness and performance both matter.
With 1+ years of professional experience, I've worked in product teams and internships where shipping on a deadline met careful engineering. That mix pushes me to learn quickly, communicate clearly, and deliver software that holds up outside the demo.
I believe in code that is correct first, then fast-abstractions that earn their place, tests where they buy real confidence, and tools that fit the problem rather than the hype. Outside of work I stay interested in mechanical systems and hands-on precision work, which shapes how I think about structure, tolerances, and reliability.
Software Engineer
Rust, C++, Python & ML
Ravenna, Italy
Open to remote opportunities
1+ years
Growing with every project
"Build for correctness. Optimize for performance. Engineer for the long run."
Skills
Experience
Software Developer Intern
Coopolis S.p.a.Contributed to internal and customer-facing features in a TypeScript, React, and Node.js stack. Collaborated on APIs, UI work, and iterative delivery with the team in short release cycles.
Software Developer Intern
Pro Gamma Instant Developer S.p.a.Built and refined product features using JavaScript, Vue, and Python-user flows, integrations, and performance-sensitive paths-while balancing speed with maintainable structure in a small team.
Ventures
Alongside my core engineering work, I pursue side projects and experiments-tooling, automation, and ideas worth prototyping. Each one is practice in scoping, feedback, and shipping something others can actually use.
A comprehensive suite of tools designed to streamline developer workflows. Features include code snippet management, API documentation generation, and automated testing utilities.
Projects
A mix of native, systems, and web-adjacent work-representative of how I approach Rust and C++ projects, Python ML and data tooling, and occasional TypeScript when the problem calls for it. Highlights below; more lives on GitHub.
Rust utilities and experiments around profiling, benchmarking, and systems-level performance analysis.
Applied machine-learning notebooks and scripts covering model training, evaluation, and data preparation workflows.
Reusable data-ingestion and preprocessing pipelines for ML experiments with clear, repeatable stages.
Algorithm and data-structure implementations used to sharpen problem-solving and low-level thinking.
Contact
Let's build something together
I'm always interested in hearing about new projects, opportunities, or just connecting with fellow engineers. Whether you have a question or just want to say hi, I'll do my best to get back to you.