Ognjen G.

I am a PhD candidate in Physics and a researcher at the Faculty of Physics, University of Belgrade, specializing in ultrafast photonics and nonlinear optics. My work bridges the gap between complex physical phenomena and computational modeling, with a strong focus on developing Python-based solutions for research-level challenges. Key Qualifications: - Computational Physics: Designing numerical models for HHG and laser-plasma interactions using NumPy, SciPy, and SymPy.AI - Quality Expertise: Over 2 years of experience in AI dataset validation (Scale AI) with 90%+ accuracy in technical auditing. - Data Automation: Developed Python workflows for large-scale scientific datasets (HDF5), increasing efficiency by 3x. - Scientific Communication: Experienced in documenting complex research via LaTeX and presenting at international conferences. - Technical Stack: Python (Scientific suite), SQL, LaTeX, and HDF5. - Languages: Serbian (Native), English (Full Professional), Russian (Fluent), and Italian (Advanced).