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I received my B.S from the SUNY at Potsdam in Computer Science graduating Magna Cum Laude and my Master’s Degree in Computer Science from Georgia Institute of Technology (“Georgia Tech”). I attended for a Ph.D in Computer Science from Rensselaer Polytechnic Institute (“RPI”). My most recent position was a tutor/teacher at Omega Learning Center and TutorDoctor teaching students from 3rd grade to college students. I also have been a teacher in the New York Mid-Hudson Valley school districts teaching all age groups from 2nd grade to high school students. In college I was a teacher assistant in my undergraduate and graduate studies. During my time in the corporate world I taught training classes. I am a published author for publisher Prentice Hall entitled “Unix Awk and Sed Programmer's Interactive Workbook”. I have taken certification classes in teaching and ESL. I am also a member of the National Tutoring Association, Association for the Coaching and Tutoring profession and American Tutoring Association I teach Math, Science, Business, Economics, Humanities, Social Science, and Computer Science. Math subjects include Calculus, Statistics, Linear Algebra, and Discrete Math. Science includes all sciences. I have taught numerous students ACT/SAT prep and GRE testing. While possessing a good understanding of the subject matter is a given for teaching it goes beyond just knowledge of subject matter. It requires interacting with parent, student and teacher so each feels the experience is positive and productive. Passion to see the transformation of seeing an individual struggle with material and then conquering it. Motivating and making material interesting when the student is unmotivated. Capable of meeting all the challenges and dynamics that teacher and student encounter to encourage them to master the material. In addition, teaching them tips and techniques that can help them progress given whether they are good at memorizing, need visual clues, or learn by example. Be energetic and enthusiastic. It rubs off with the student. With the right balance of energy and enthusiasm the student will be more inclined to feed off it. Clear goals must be established with a time frame associated with it so everyone can determine if the tutoring is working and progress is being met. Quickly identify the student’s learning style and adapt the course material to their learning style overcoming mental blocks that occur in science and math. Communication, communication, communication cannot be stressed enough. Always be positive and non-authoritative during the course of the lessons. Mathematics is often so confusing and so boring, but it doesn't have to be that way! Math is not some mysterious subject that only a few can comprehend. As with any discipline, practice leads to proficiency, and that practice needs to be guided by an expert. No one gains mastery in any subject without guidance. The problem for many people is that they were only told what to do, but never told why to do it. For others, they were never presented with an easy-to-follow step-by-step process for solving problems. Any educational problem can be fixed, no matter how hard it sounds. There is hope. Hope not for hope sake but with a competent, experienced and skilled tutor who has the experience and training to identify all situations that occur during teaching and using trained and proven techniques to see the light at the end of the tunnel Give us a try and you will be happy with the results

Math modeling, PDEs, numerical methods, Python, Rust, Fortran, C++, Julia, Kubernetes, machine learning, parallel programming, high performance computing, data analysis, error analysis. In my master's thesis, I developed a math model to describe the light field in a seaweed farm, wrote an object-oriented Fortran 90 code, parallelized with OpenMP, to solve the resulting PDE using a finite difference algorithm and less computationally expensive asymptotic approximation for multiple discrete scattering events. I performed a detailed error analysis of the two algorithms to determine necessary grid size and applicable conditions for the discrete scattering approximation for a desired level of accuracy. I wrote a Python wrapper using F2PY for the F90 code, and interactive Jupyter widgets to allow highly parallelized simulations to be launched en masse over large parameter spaces from Jupyter notebooks to a remote kubernetes cluster. Other research interests: - Interactive high performance computing - Group decision making - Machine learning - Virtual reality - Interactive data visualization Miscellaneous skills: - Linux - LaTeX - Web development - Image processing / graphic design - Audio/video editing/recording

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 hold a BS in Physics from the University of Colorado and a Master's equivalent in computer science and physics with an emphasis in data science. I have expertise in numerical analysis, modeling, and machine learning. I have a diverse mathematical and programming skillset and specialize in Python, Julia and Mathematica development. I can build complex applications in a broad range of domains based on my experience and learning methodology. My strengths are in problem-solving, analysis, and communication.

CONSULTATION: 300 USD per hour OTHER PROJECTS: varies (fixed price preferred) *** Although I have several open projects, I am not currently working on all of them, so I do have time for your project. *** I am a PhD mathematician who builds custom quantitative systems and mathematical technologies for individuals and organizations that need solutions beyond standard analytics. My offers fall into these categories: Mathematics Algorithm design and development Data science and analytics Technical editing For more information about these offers, keep reading: MATHEMATICS + ALGORITHMS + TECHNICAL EDITING My offers cover these areas: ***Technical project management ***Mathematical formulation of scientific phenomena and engineering scenarios ***Solution to mathematical problems from the sciences, engineering, economics, data analytics, and finance ***Mathematical research ***Mathematical modeling ***Consulting ***Design, development, and analysis of algorithms ***Implementation of algorithms in programming languages ***Implementation of mathematical proofs in theorem provers ***Translation of advanced and research-level mathematics into a non-technical language ***Editing of mathematical and scientific papers (both online and offline) Some of the technological tools I have used are: Programming languages: Python, C++, C#, Q# Theorem provers: Lean, Coq Mark-up languages: LaTeX, HTML Software: Maple, Wolfram Content management system: WordPress I have experience with the following mathematical subjects at the graduate level and/or at the research level: Theory of Computation Constructive Mathematics Category Theory Type Theory Logic Combinatorics Linear Algebra Topology Graph Theory Algebraic Topology Set Theory Algebra Analysis (real and complex) And many more... DATA SCIENCE + ANALYTICS My offers cover these areas: ***Data and quantitative analysis with technological tools ***Custom algorithms implemented in programming languages ***Machine learning model building and analysis ***Data dashboard building, editing, and troubleshooting ***Market analysis ***AI prompt engineering Some of the datasets I have worked with are from these areas: Epidemiology Education Finance (stocks + cryptocurrencies) Gaming (NFT + lottery) Climate Demographics Housing Economics Real Estate Web Visits Search Engine Rankings Ads Performance e-Commerce Some of the technological tools I have used are: Tensorflow Google Analytics Twitter Analytics Microsoft Machine Learning Studio Excel Tableau Power BI SPSS ChatGPT Claude Python libraries: Matplotlib, Numpy, Pandas, Openpyxl, OpenCV, HyperNetX, Plotly, Thinkorswim

I' am a recent college graduate experienced in mathematical modeling and research. Additionally, I am able to rapidly recognize quantitative trends through mathematical financial modeling for the preparation of actuarial exams. I perform quality knowledge of mathematics to its application to finance on a collegiate level. Furthermore, I demonstrate initiative nature that fuels my desire to constantly challenge my academic and professional knowledge. I supervised over 20 personnel across Joint Lewis McChord Base MWR Aquatics and have proven my ability to interact and collaborate with multiple levels of management and multicultural communities.