Jack Alvarez Email & Phone Number

Fairfax, Virginia, US

• Processed and decisioned a portfolio of several thousand business loans, personally facilitating the disbursement of over $31.4 million dollars in critical funding during the COVID-19 pandemic. Analyzed business cash.
• Programmed a modular codebase in VB.NET to extract, transform, and load application data from the client’s web database into deployment environments for robotic process automata (RPA). Engineered and deployed RPAs to.
• Designed and implemented a web-based production tracking and timekeeping system with VB.NET. Acted as technical support for a 100-person team and investigated and resolved technical issues. Developed tracking software.
• Gathered, compiled, and analyzed evidence of financial crimes and fraud. Delivered comprehensive reports to investigators and federal attorneys detailing findings. Developed a natural language processing pipeline which.

Blacksburg, VA, US

• Successfully developed and delivered a machine learning solution to the black box Algebraic Multigrid (AMG) optimization problem. Conducted novel research at the intersection of machine learning, numerical simulation.
• Consulted with the client and stakeholders to identify the project scope, goals, and key deliverables. Continuously planned, executed, and evaluated each project phase. Delivered dozens of technical papers, progress.
• Collaborated with a cross-functional team of researchers and academic faculty to develop robust and efficient optimization methods in parallel computing environments. Analyzed several hundred pages of academic papers.
• Generated thousands of randomized test cases by automating linear system generation in C++. Fit optimal AMG parameters for each test case with a parallel swarm optimization algorithm in C++. Developed a robust method.
• Implemented a neural network in TensorFlow using Python to predict optimal AMG parameters given any solvable linear system. Trained the network to estimate AMG parameters which minimize solver execution time given.

Blacksburg, VA, US

• Evaluated Finite Element solver performance between various preconditioning methods in Conjugate Gradient and other linear system solvers. Tested and benchmarked a suite of preconditioners and solvers in the deal.II.
• Analyzed the effects of preconditioning method, relaxation parameters, drop tolerance, mesh anisotropy, node reordering and adaptive mesh refinement on matrix condition number decay and solver stability.
• Invented a novel distributed-memory parallel algorithm to solve large linear systems using sparse reordering techniques and algebraic domain decomposition. Implemented a naïve implementation in MATLAB and benchmarked.

Washington, DC, US

• Designed and programmed bookkeeping software in VB.NET to generate global financial reports for the Air-to-Ground Communications team. Implemented context-preserving unique identifiers enable precise tracking of all.
• Generated intuitive and informative data visualizations for team leaders for a variety of projects.
• Wrote and published Standard Operating Procedures, best practices, and support documentation for software design, data management, and numerical error handling. Presented accomplishments to team leaders and both.