Jared Callaham

Software Engineer

Easthampton, Massachusetts, United States13 yrs 9 mos experience

Key Highlights

Expert in simulation and optimization for aerospace engineering.
Proven track record in machine learning applications.
Strong background in mathematical modeling and control systems.

Stackforce AI infers this person is a highly skilled aerospace engineer with expertise in simulation, optimization, and machine learning.

Contact

Skills

Core Skills

Computational Fluid Dynamics (cfd)Software DevelopmentControl TheoryOptimizationMathematical ModelingFlight Control SystemsMachine LearningHigh Performance Computing (hpc)Computational Neuroscience

Other Skills

OpenFOAMNumerical OptimizationPETScFinite Element Analysis (FEA)Guidance Navigation & ControlObject-Oriented Programming (OOP)Optimal ControlOrbital MechanicsPythonC (Programming Language)Fluid MechanicsMechanical EngineeringData AnalysisAerospace EngineeringState Estimation

Experience

13 yrs 9 mos

Total Experience

2 yrs 3 mos

Average Tenure

Current Experience

Atomic industries

2 roles

Senior Simulation Engineer

Jan 2025 – Present · 1 yr 3 mos

Simulation and design optimization for plastic injection molding

OpenFOAMSoftware DevelopmentNumerical OptimizationPETScComputational Fluid Dynamics (CFD)Finite Element Analysis (FEA)

Engineer

Nov 2021 – May 2023 · 1 yr 6 mos

Developed differentiable multiphysics simulation tool and design optimization algorithm for heat exchangers in manufacturing systems; demonstrated 20% cycle time/7% cost savings vs conventional design.

OptimizationMathematical ModelingFinite Element Analysis (FEA)Object-Oriented Programming (OOP)Software DevelopmentMachine Learning+3

Collimator

Engineer

May 2023 – Dec 2024 · 1 yr 7 mos · Massachusetts, United States

Design and implementation of a block diagram simulation engine for hybrid dynamical systems modeling in JAX; productized work�flows for optimal control and physics-informed ML. Technical lead on service contracts for modeling and simulation in aerospace.

Control TheoryGuidance Navigation & ControlObject-Oriented Programming (OOP)Software DevelopmentOptimal ControlOrbital Mechanics

The johns hopkins university applied physics laboratory

Intern - Asymmetric Operations Sector

Jun 2021 – Aug 2021 · 2 mos

Tested and calibrated terminal-area detect-and-avoid system for advanced urban air mobility concepts, balancing FAA safety requirements with operational suitability.

Mathematical ModelingFlight Control SystemsData AnalysisSoftware DevelopmentAerospace Engineering

University of washington

2 roles

National Defense Science and Engineering Graduate Fellow in Mechanical Engineering

Promoted

Sep 2019 – Jun 2022 · 2 yrs 9 mos

Researched data-driven modeling for unsteady fluid flows; applied methods to turbulence, hypersonic flows, and aeroelasticity. Methods extended accuracy/applicability of low-order nonlinear dynamics modeling for analysis and flow control. Extensive use of CFD modeling and analysis of experimental data.

Mathematical ModelingControl TheoryMechanical EngineeringObject-Oriented Programming (OOP)Software DevelopmentMachine Learning+1

Graduate Assistant in Applied Math

Sep 2017 – Sep 2019 · 2 yrs

Teaching assistant - Led labs, discussion sections, and office hours for over 500 students in optics, mechanics, and scientific computing courses in the physics and applied math departments
Research assistant - Developed flow field estimation method from noisy point measurements based on image recognition techniques

Mathematical ModelingFluid Mechanics

Boeing

Boeing Advanced Research Center

Jan 2019 – Aug 2020 · 1 yr 7 mos

Improved flight test evaluation by fusing engineering methods with data-intensive optimization in UW/Boeing collaboration. Designed and tested unsteady drag estimation technique using Kalman filtering and flight dynamics model. Developed machine learning dynamical sensor fault detection algorithm.

Mathematical ModelingSoftware DevelopmentMachine LearningState EstimationAerospace EngineeringFlight Dynamics

Center for sensorimotor neural engineering at the university of washington

Intern

Jun 2016 – Aug 2016 · 2 mos · Greater Seattle Area

Combined computational neuroscience and machine learning for optimization of sparse, distributed sensor placement in the context of flight control.

Mathematical ModelingMechanical EngineeringSoftware DevelopmentMachine LearningComputational Neuroscience

University of massachusetts amherst

Research Assistant

May 2015 – May 2017 · 2 yrs · Amherst, MA

Conducted independent research in statistical mechanics. Developed parallel Monte Carlo annealing algorithm and applied to model of glass-forming fluids. Performed large-scale simulations on high-performance computing cluster.

Mathematical ModelingHigh Performance Computing (HPC)Object-Oriented Programming (OOP)Software DevelopmentComputational Physics

United states air force

Staff Sergeant, Aircraft Metals Technology Craftsman

May 2010 – Nov 2014 · 4 yrs 6 mos

Machinist/welder in aircraft maintenance for F-22, F-16, A-10, and KC-135 aircraft
Manufactured close-tolerance aircraft parts using conventional and CNC machine tools, including use of CAD/CAM software.
Proven responsible leadership as shift supervisor; ensured quality of work and compliance with safety standards
Fabrication and repair of ground equipment and engine components; X-ray certified TIG and MIG welder in 7 metal groups
Held secret security clearance (currently inactive)