Hire the Best Fortran Programmers & Developers

I help research teams and technical founders build reliable, testable scientific and quantitative software — from research prototypes and backtesting frameworks to production-grade execution systems, simulation engines, and performance optimization. I also conduct independent technical review of quantitative models, frameworks, and research. If you're dealing with slow code, messy data, a model you can't trust, or a research prototype that needs to become production, I can turn it into a robust, reproducible system. Credibility: PhD Physics (NYU, 2018). Quantitative Research at JPMorgan Chase (derivative pricing, 1M+ LOC C++ library). Max Planck Institute postdoc (general relativistic hydrodynamics simulations on HPC clusters, 1000+ cores). 13 peer-reviewed publications, 1,300+ citations, h-index 12. WHAT I DELIVER ▸ Quant & Options Engineering Backtesting frameworks (event-driven or vectorized), walk-forward, leakage checks Options analytics: Greeks, IV surfaces, Black-Scholes / numerical methods Research → production pipelines (clean architecture, tests, logging, monitoring) Execution integrations (e.g., IBKR) and robust order/risk handling Market data ingestion, cleaning, corporate actions handling, quality control checks ML and statistical models for time-series signals (proper time-series CV, no leakage) ▸ Scientific Computing & Research Tooling Custom software and research tooling for research-driven teams across physics, chemistry, biology, engineering and beyond — where the underlying problem is mathematical or computational. - Custom numerical solvers (finite volume / finite difference, spectral methods, particle methods), with stability and convergence analysis - Optimization engines (Bayesian optimization, gradient-based, evolutionary) for experimental design, formulation, and parameter search - Simulation frameworks for physical, chemical, and biological systems — from prototype to production-grade - Scientific data pipelines: ingestion, transformation, quality control, reproducible workflows - Verification and validation: benchmarks, unit tests, regression tests, convergence studies - Analysis tools, dashboards, and reporting infrastructure for research workflows - Air-gapped and reproducible deployments where IP sensitivity or regulatory context requires it ▸ Quantitative & Mathematical Review (NDA-protected) Independent technical review of quantitative models, frameworks, and research Verification of internal consistency, identifiability, hidden assumptions, and mathematical correctness Assessment of whether the formal structure supports the conclusions drawn from it Review of implementation against specification: numerical stability, edge cases, and code-to-specification fidelity ▸ HPC & Performance Engineering Performance engineering for large-scale scientific and ML workloads Distributed computing (MPI/OpenMP/CUDA), GPU optimization, memory and I/O tuning, parallel architectures, inference and training infrastructure at scale. Profiling, refactors, and speedups for codebases that need to run reliably under production load. WHY CLIENTS WORK WITH ME - Trustworthy engineering: I turn research prototypes into tested, reproducible production code - De-risking: I find failure modes early (leakage, overfitting, edge cases, scaling bottlenecks) - Maintainability: clean architecture, docs, and handover-ready delivery your team can extend - Communication: clear milestones, concise updates, realistic timelines — no surprises - Math ↔ engineering bridge: strong intuition for both theory and implementation details IDEAL PROJECTS - Quant strategy development, backtesting and research infrastructure - Options analytics and derivatives tooling - Mathematical review of quantitative manuscripts, white papers, or research frameworks - Independent validation of production models or implementations against specification - Market data pipeline and reproducibility upgrades - Performance optimization of slow Python/C++ codebases - Distributed training, GPU optimization, and inference serving for AI/ML workloads - Custom scientific or industrialized simulation or numerical software - Custom internal R&D tools for research labs and technical teams If this sounds like a fit, message me with a detailed brief with your current stack and success criteria — I'll let you know how I can help.

🎓 Scientific Consultant Ready for Hire | Physics, Math, and Chemistry | $100/hr Let's collaborate to elevate your scientific work to the next level! Whether you need help with manuscript preparation, complex simulations, or creating compelling visualizations, I'm here to support your success. 🌐 Available for worldwide collaboration ⏰ Flexible scheduling 💫 Key Achievements: - Ph.D. graduate from University of California, Berkeley. - Published in prestigious journals such as the Proceedings of National Academy of Sciences (Impact Factor 9.4) - Journal of Chemical Physics, Editor's Choice 2021 - Multiple competitive fellowships & research awards 🔬 Your Scientific Support Partner For: 📝 Technical Writing & Editing Transform your ideas into publication-ready manuscripts! With experience publishing in high-impact journals and as a peer reviewer, I ensure your scientific writing meets professional standards. 💻 Scientific Computing & Simulation Let's bring your research to life! Expert in: 🧪 Molecular dynamics simulations with LAMMPS, DESMOND, HOOMD-blue, OpenMM. 📊 Data analysis & visualization with Python, GNUPlot, Tikz-LaTeX ⚡ GPU/CPU High-performance computing and simulations using CUDA, C/C++, OpenMPI, and OpenMP 🎨 Scientific Visualization Make your research visually compelling! Skilled in: 📈 Publication-quality figures using Python matplotlib and GNUPlot 🎯 Technical diagrams and visualizations using TikZ and Adobe Illustrator 🖼️ Research presentations using LaTeX beamer 📚 Technical Tools & Expertise: 🐍 Programming: Python, C/C++, CUDA, OpenMP 🔮 Simulation: HOOMD-Blue, LAMMPS, OpenMM, Desmond 🎪 Visualization: Matplotlib, Tikz-LATEX, Adobe Suite 📊 Analysis: PyTorch, scikit-learn, PETSc/SLEPc 💡 Why Choose Me: 🎯 Proven track record in high-impact research 🌟 Extensive computational expertise 📊 Data visualization specialist ⚡ Quick turnaround times 🤝 Clear communication

- I specialize in R and its scientific ecosystem, particularly the tidyverse. - I also have extensive experience with Fortran, especially for performance-intensive tasks. - With more than 12 years working with academic documents in LaTeX, I’ve contributed to theses, research papers, and scientific publications. - I’m skilled at optimizing scientific code, improving both execution time and memory usage through profiling and efficient algorithm design. - I believe that clear and consistent communication is key to delivering top-quality work—let’s keep the conversation going! - My combined expertise in R and Fortran allows me to develop robust, efficient solutions for applications ranging from statistical modeling to numerical simulations. -N8N: My combined experience in programming and editing allows me to build clear, efficient, and reliable automations. I create smart workflows using n8n, designed specifically to meet real business and project needs.

Software developer with a strong foundation in data structures and algorithms, specializing in high‐performance systems, optimization, and purpose‐built engineering solutions. Programming Languages • C, C++, Go • Python, Lua, Bash Libraries • Pandas, NumPy, ezdxf Client‐side • HTML, CSS, JS, TS • HTMX • React, Next.js • Hugo, Astro Server‐side • Node.js, Deno • Django, FastAPI Databases • PostgreSQL • MySQL, MariaDB • SQLite • MongoDB • Redis, DynamoDB Infrastructure • Linux • Docker, Podman • Cloudflare Tools • Git (GitHub, GitLab) • Neovim Documentation • Markdown • reStructuredText • LaTeX • Typst Productivity • Microsoft Office • Microsoft Power BI Computer‐Aided Design • AutoCAD • SOLIDWORKS • Siemens NX

35 years of experience in software engineering complemented by solid knowledge of computer science, mathematics and electrical engineering.

Working as a developer freelancer for the last 15 years: Data Science, Neural Networks, Python, Matlab, Fortran etc. Hold a Ph.D. in theoretical physics with expertise in strongly correlated electrons, optical lattices, and phase transitions. Fluent in Ukrainian and Russian, with advanced English proficiency, enabling me to write scientific papers and engage in effective communication as well as do EN-UA and EN-RU translations.