Hire the Best Quantum Computing Specialists

BACKGROUND: Quantum computing researcher with hands-on experience developing and deploying data science models on real quantum hardware. Achieved 96.1% correctness on IBM quantum systems with expertise in quantum machine learning, classification algorithms, and optimisation techniques. A proven track record in Python-based data pipelines, statistical modelling, and cross-functional collaboration. Experienced in translating complex technical problems into practical solutions with measurable business impact.

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. 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 result. 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'm an Online Tutor and Research Scholar having expertise in Maths and Physics. I'm Theoratical Physicist having reserch intrest in Quantum Computing ,Partical Physics and Gravitational Waves. I'm teaching from last 7 years . It's my passion to become a good Teacher. If you are facing any problem in understanding maths and physics ,let me help you. I will help you to overcome your weakness and help you to bulid problem solving techniques . I will make maths and physics easy for you. I have expertise in following subjets ; College Physics Calculus , Pre-Calculus , Calcullus 1,2,3,Multivarible Calculus AP Physics Physics 1,2,3 Mechanics Linear Algebra Solid State Physics Material Science Quantum Mechanics.Quantum computing , Quantum Optics Semiconductor Physics, Electronics General Relativity, Eletrodynamics, Electromagnitic Theory Group Theory String Theory Statistical Mechanics I have Experinence in, O/A Level Maths & Physics ( Edexcel, CIE, AQA , OCR ,WJEC , CCEA. University level coure and Research Proposal Writing fot Maths & Physics I teach via, Zoom , Google meet , Teams. Lets overcome exam fobia togrther. Thanks

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.

I have experience in: -Research in numerical solution of variety of nonlinear equations. -Statistical analysis of data. -Scientific Computing Machine Learning. -Optimization (Linear, Mixed, Heuristics). Most of my work was academical research in my PhD years (nonlinear dynamics in quantum and classical systems), but I also worked as a freelancer with several Machine Learning projects both in Scientific Computing as in Generative AI. I also have experience in a variety of Optimization problems (With heuristics, or exact solutions). Nowadays I do research in the place where Machine Learning mixes with Natural Evolution.

Python Trading Infrastructure Engineer | Exchange Connectivity | Backtesting | Live Execution | GMT+7 I build the infrastructure that makes trading strategies actually work in production: exchange connectors, real-time data pipelines, backtesting engines, and live execution systems. My background is in trading systems engineering, not strategy development. I don't generate alpha, I validate it and build the systems that execute it reliably, fast, and correctly. If you have a strategy that needs to be automated, backtested properly, or connected to a live exchange, that's what I do. ▶ TECHNICAL EXPERTISE ◀ • Exchange connectivity: Binance, ByBit, Coinbase, OKX, Bitget, Interactive Brokers (IBKR TWS) • Trading frameworks: Hummingbot (top-10 OSS contributor) | NautilusTrader | QuantConnect • CEX and DEX connectivity | WebSocket market data | REST order management • Backtesting engines: correctness, performance optimization, realistic fill simulation • Prediction markets: Kalshi, Polymarket • Languages: Python, Cython, C++ • Low-latency optimization: asyncio profiling, network tuning, thread isolation • Strategy types supported: arbitrage, market-making, trend-following, mean-reversion, grid bots • Data: NumPy, Pandas, Dask, Parquet, PostgreSQL ▶️ WHY CHOOSE ME ◀️ 8+ years building trading systems professionally, including 2 years at CoinAlpha (Hummingbot, top-10 OSS contributor), ongoing freelance work across crypto, equities, and prediction markets. Georgia Tech M.S. Computer Science, 3.8 GPA. Top Rated on Upwork, 5-star rating. Keywords : Hummingbot, Nautilus Trader, NautilusTrader, Backtesting, Optimization, Latency, Quant, Interactive Brokers, IB, IBKR, TWS, Lean, Quantconnect, Quant Connect, QuantConnect, Trader, Indicator, ForEx programmer, code an Indicator, Python, C++, Cython, Automated Strategy, Quant Dev, Historical Data, Strategy Analysis, Performance Analysis