Hire the Best Fortran Programmers & Developers

I help research teams and technical founders build and validate reliable, testable scientific and quantitative systems — research prototypes, backtesting frameworks, production execution systems, simulation engines, and performance-critical pipelines. I also conduct independent technical review of quantitative models and research frameworks. Whether you are architecting a new system from the ground up, battling computational bottlenecks, auditing an unpredictable model, or scaling a fragile prototype into production, I can work with you or your team to engineer a robust, high-performance solution. Background: PhD Physics (NYU, 2018). Quantitative Research at JPMorgan Chase — derivatives pricing on a 1M+ LOC C++ library. Max Planck Institute postdoc — general-relativistic hydrodynamics on 1,000+ core HPC clusters. 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 and 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, quality control ML and statistical time-series models with proper cross-validation (no leakage) ▸ Scientific Computing & Research Tooling For physics, chemistry, biology, engineering, and any domain where the core problem is mathematical or computational. Custom numerical solvers (finite volume / finite difference, spectral, particle methods) with stability and convergence analysis Optimization engines (Bayesian, gradient-based, evolutionary) for experimental design, formulation, and parameter search Simulation frameworks from prototype to production grade Scientific data pipelines: ingestion, transformation, quality control, reproducible workflows Verification and validation: benchmarks, unit / 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 Implementation review against specification: numerical stability, edge cases, code-to-spec fidelity ▸ HPC & Performance Engineering Distributed computing (MPI / OpenMP / CUDA), GPU optimization, memory and I/O tuning 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 work — research prototypes turned into tested, reproducible production code; models reviewed against their own claims - De-risking — failure modes surfaced early (leakage, overfitting, edge cases, scaling bottlenecks) - Maintainability — clean architecture, docs, 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 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 against specification - Market data pipelines and reproducibility upgrades - Performance optimization of slow Python / C++ codebases - Distributed training, GPU optimization, and inference serving for ML workloads - Custom scientific or industrial simulation and numerical software - Internal R&D tooling for research labs and technical teams If this sounds like a fit, message me with a brief on your current setup and success criteria — I'll let you know how I can help.

- 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.

I help companies get hard C++ work done right the first time — multithreaded backends, performance-critical code, and AI features that hold up in production.

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.

Roles: Senior Developer / Software Architect Programming Languages: C++, C#, C, Python, JavaScript, TypeScript, Rust Frameworks: WPF, Win32, Winforms, .NET Framework, .NET 5.0+ Domain Expertise: * Casino games ( Math Engine Development ) * Game Development, Optimization and Engine Enhancements * Desktop and Cross Platform Editor Applications ( Unity3D, GoDot, etc) * Loyalty Applications ( Backend NodeJS) * Camera Software ( Image Processing, Software tools) * Construction tools ( AutoCAD and AutoRevit Plugins)