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Need help solving a difficult engineering, AI, scientific, or research problem? I help companies, startups, universities, and research teams transform complex ideas into practical, technically rigorous solutions. I'm a PhD Physicist, Research Scientist, and Engineering Consultant with more than 20 years of interdisciplinary experience helping companies, startups, researchers, engineers, healthcare professionals, and graduate students solve complex technical problems. Highlights ✔ Published in Nature Communications ✔ Published in PNAS ✔ Published in Journal of Biological Chemistry ✔ Former Research Scientist — Cornell University ✔ Former Research Scientist — Duke University Medical Center ✔ Principal Investigator using NSF ACCESS HPC I specialize in transforming complex ideas into practical, technically rigorous, and well-documented solutions by combining scientific research, engineering, artificial intelligence, and computational modeling. I can help you with ✔ Artificial Intelligence & Machine Learning ✔ Python Programming & Scientific Computing ✔ Data Science & Statistical Analysis ✔ Engineering Design & Numerical Simulation ✔ Computational Physics & Applied Mathematics ✔ Biomedical Engineering & Medical Imaging ✔ MATLAB, Scientific Visualization & Image Analysis ✔ Research Consulting & Experimental Design ✔ Technical Reports, Scientific Publications & Literature Reviews ✔ Grant Proposals (NSF, SBIR/STTR) & Technical Documentation Why clients choose to work with me • PhD in Physics with interdisciplinary expertise spanning engineering, AI, biomedical research, data science, and scientific computing. • Research experience at Cornell University and Duke University Medical Center. • Published author in internationally recognized scientific journals. • University faculty experienced in mentoring engineers, researchers, and technical teams. • Strong reputation for developing structured, practical solutions and explaining complex technical concepts clearly. • Every project is approached with scientific rigor, attention to detail, professionalism, and clear communication. Whether you need to develop an AI model, analyze scientific data, design an engineering system, perform computational simulations, prepare a technical report, review a research manuscript, or solve a challenging interdisciplinary problem, I will work closely with you to deliver accurate, high-quality, and professional results. If you're looking for a research scientist who can bridge science, engineering, and AI to solve complex technical challenges, I'd be happy to discuss your project.

SERVICES OFFERED TO CLIENTS: • Coding projects in MATLAB, Simulink, and other languages • Machine learning and deep learning • Consulting on medical device technologies • Laboratory guidance • Inventing and building new technologies • Refining and revising existing technologies • Spaceflight hardware manufacturing • Intellectual Property, Patent Landscaping, and Defeating Patent Trolls • Writing Grant Proposals and Executing on Proposals MY TECHNICAL SKILLS OVERVIEW: I have extensive hands-on expertise in five broad areas: 1) MATLAB Programming, Coding, and Simulations, 2) Measurements with Sensors, 3) Skills for Transitioning Products from Labs-to-Manufacturing, 4) Intellectual Property and Inventing as a Service, and 5) Success in Business, Soft Skills, Executive Management, and Project Management. PROFESSIONAL OVERVIEW: I am a MATLAB coder, technologist, and professional applied scientist. I am driven to satisfy my clients' goals. I have been granted more than 40 patents in sensors, signal processing, and data-handling algorithms. Some of those inventions have been successfully commercialized within the oil industry. My career includes several years of successful engagements as a client-facing consultant for various industries. My former clients and employers have included NASA, U.S. Department of Defense, U.S. Department of Energy, NV Energy, British Petroleum, Halliburton Energy Services, ExxonMobil, BNSF Railways, Queensland Gas Company, Cardinal Health, Accenture, Methodist Hospital, and other organizations. MY EDUCATIONAL BACKGROUND: • Doctoral degree in physics from Rice University. GPA: 3.8/4.0. • Master’s degree in physics from Rice University. GPA: 3.8/4.0. • Bachelor’s degree in physics from Georgia Tech. GPA: 3.8/4.0. Minor in Economics. MY TEACHING EXPERIENCES. Taught 5 semesters of University freshman physics laboratories. Tutored a U.S. military veteran one-on-one for 2 years. DETAILS OF TECHNICAL SKILLS: 1) Programming, Coding, and Simulations - MATLAB, Simulink, C, Fortran, Python, Assembly, COMSOL, Java, Machine Learning, AI, Deep Learning, Audio and Video Processing, Digital Signal Processing, DSP, Digital Forensics, Image processing, Computer vision, Video enhancements, and Monte Carlo Simulations. 2) Sensors, Radar, Sonar, Lidar, Photonics, Fiber optic, Acoustics, Hydraulics, Nuclear, Fission, Fusion, Thermonuclear Fusion, Nuclear Energy, Radioactive waste, Lasers (free-space, fiber, gas, ion, dye, solid-state), RF and Microwave (VHF to Ku), Spread Spectrum, Communications & Telemetry, Microcontrollers, and Magnetometry, Antenna design, Data Acquisition Hardware & Software, Digital and Analog Circuitry, Spectrum Analyzers, Design of experiments 3) Design, Construction/Build of Scientific Equipment, Hardware Manufacturing, Machine Shop Skills (Using Mills and Lathes), Soldering, Brazing, Plumbing, Vacuum systems 4) Teaching at University level, Private volunteer tutoring of U.S. veteran soldiers, Completed 1-year of MBA coursework at Rice University, Project Management Institute training courses, 4-years experience as a client-facing Management Consulting, Numerous Awards from NASA and other organizations for teamwork & leading teams, Inventing, Success with the TRL process from Product Development, Intellectual property, soft skills, Legal, Organizational psychology, Communications, Conflict resolution, Seed funding, and Sales

I have 4 years of experience in Machine Learning and Software Development specializing in AI for physical world: medical, biological, and physics grounded data; I have an experience training and fine tuning models, and applying domain knowledge to create reliable systems.

I'm a Research Scientist and IBM Qiskit Advocate with a graduate degree in Chemistry from UC Berkeley, specializing in quantum computing algorithm development, AI-driven scientific workflows, and computational modeling. My work bridges rigorous scientific theory and production-ready code. I've built quantum algorithms using Qiskit for both educational and experimental research contexts, developed AI models to optimize complex data pipelines, and conducted advanced computational chemistry simulations for academic and commercial clients worldwide. What I bring to your project: Quantum algorithm development (QAOA, VQE, variational methods, circuit optimization) Python-based quantum workflows using Qiskit and IBM Quantum hardware AI/ML integration for scientific data processing and simulation Technical documentation and reporting to publication-ready standards Cross-disciplinary fluency — I translate between domain science and software engineering With a background spanning Lawrence Berkeley National Lab, UC Berkeley, and active contributions to IBM's open-source quantum ecosystem, I bring both research depth and delivery experience to every engagement. Whether you need a quantum algorithm prototyped, a hybrid classical-quantum pipeline built, or expert consultation on your quantum roadmap — I deliver work that holds up to scientific scrutiny.

I am a Research Physicist and Engineer with a dual background in Physics and Engineering, specializing in high-performance radar systems, RF environmental surveying, and complex signal processing. With experience at NASA and the Florida Space Institute (FSI), I bridge the gap between theoretical physics and practical hardware implementation, delivering high-precision solutions for demanding technical challenges. Whether you need advanced simulations in Python/MATLAB, FPGA development on Xilinx platforms, or hardware prototyping for RF systems, I bring a rigorous, research-backed approach to every project. Core Competencies - Radar & RF Systems: Design of coherent combining systems (up to 40 GHz/10 kW), passive radar feasibility studies, and antenna array deployment. - FPGA & Embedded Systems: Programming Xilinx ZCU111 and RFSoC 4x2 utilizing the CASPER toolflow for environmental data acquisition. -Signal Processing: Spectrogram generation, cross-correlation analysis for RFI identification, and noise floor characterization using Python and MATLAB. -Simulation & Modeling: Developing machine learning algorithms for satellite data (GOES-R) and simulating gravimetric sensor environments for UAVs. -Prototyping: CAD design (Autodesk Inventor), sensor fabrication, and hardware validation in extreme environments. Professional Highlights -NASA: Developed drone detection and tracking systems using Software Defined Radio (SDR) and the Signal Hound API, creating live spectrograms to secure airspace. -Florida Space Institute: Led the research and requirements definition for a 256-element RF survey system with extreme sensitivity (-200 dBm), delivering critical insights to government customers. -NEXT Lab: Prototyped ultrasonic sensors for high-temperature molten salt systems, validating designs for nuclear energy applications. I am available for complex engineering projects that require a deep understanding of electromagnetics, data analysis, and hardware integration. Let's discuss how I can apply this technical expertise to your next project.

Overview: I build production-grade software in weeks, not months. As a Physicist and exited founder (Healthcare IT), I combine deep technical rigor with the speed of modern AI-augmented development. I don't just write code; I architect defensible, scalable systems. Most recently, I single-handedly built StrideIQ, a complex Causal Inference engine for athletes, utilizing a modern stack (FastAPI, TimescaleDB, Next.js) and proprietary algorithms. I shipped a patent-pending product that would typically require a team of four. Hire me if you need: Rapid MVP Delivery: Turning your concept into a deployed, working product in under 30 days. Complex Logic: I specialize in algorithms, time-series analysis, and "hard math" problems that standard developers avoid. Founder-Level Execution: I understand product-market fit and unit economics because I have built and sold a company before. Tech Stack: Python (FastAPI/Pandas), TypeScript (Next.js), PostgreSQL, Tailwind/Shadcn, AI Workflows.