Negin Parseh

I’m a results-oriented Software Engineer with 2 years of experience building scalable, high-performance applications and solving complex engineering problems end to end. I work comfortably across full-stack development and applied AI/ML.

In my freelance role, I delivered full-stack applications in Rust, Python, React, and Node.js, owning builds from requirements through testing and deployment. I diagnose and resolve production-quality bugs and performance bottlenecks, using maintainable, well-documented solutions rather than quick patches.

I also focus on system design and delivery quality: I evaluate and adopt new frameworks per project needs, balancing speed with long-term code quality. In an Agile environment, I contribute to microservices architecture decisions and data-driven system design.

My AI work includes designing, debugging, and evaluating a full CNN+LSTM audio classification pipeline and tuning models with Recall/F1-based early stopping. For vocal distress detection, I achieved 88.75% recall on a held-out test set and performed a dataset audit to uncover spurious-correlation issues.