# Toktam Mohammadnejad

> Senior Autonomy Software Engineer

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/toktam

## Work Experience
### Senior Autonomy Software Engineer @ Honda Research Institute USA, Inc.
Jan 2024 – Present | Mountain View, California, United States

### Autonomy Software Engineer @ Agtonomy
Jan 2022 – Jan 2023 | San Francisco Bay Area, California

### AI Graduate @ Stanford University
Jan 2020 – Jan 2021 | Stanford, California
- Developed algorithms for autonomous food delivery by a mobile robot using ROS and Gazebo for simulation as well as the autonomy stack behind the autonomous mobile robots (motion control, path planning, localization and SLAM).

- Implemented Convolutional Neural Network (CNN) models to detect small ships in SAR imagery (large-scale remote sensing images) using Detectron2 API, which is an open source object detection toolbox powered by PyTorch.

- Implemented various motion planning methods including search-based methods (e.g. A*), sampling-based methods (e.g. PRM, RRT, RRT-Connect), and trajectory optimization.

- Implemented algorithms related to state-based models (like Graph search algorithms, Markov decision processes (MDPs), adversarial games) and variable-based (graphical) models (like constraint satisfaction problems (CSPs), factor graphs, Markov networks, Bayesian networks).

### Modeling and Simulation Software Engineer @ Schlumberger
Jan 2016 – Jan 2021
- Involved in all aspects of commercial software development and software release process, including design, development, implementation, testing, verification, and documentation.

- Involved in code reviewing, software testing, bug fixing/debugging, code optimization in terms of  speed and memory, and performance improvement to ensure delivery of a high-quality, high-performance software.

- Performance improvement and speeding up the execution of the code using Intel VTune Amplifier and OpenMP for performance profiling and parallel programming.

### Post-Doctoral Research Scholar @ Caltech
Jan 2012 – Jan 2015
- Developed an Extended Finite Element (XFEM) code for static and dynamic analysis and numerical simulation of initial boundary value problems in solid mechanics/geomechanics with strong and/or weak discontinuities.

- Numerical modeling of multi-physics problems and solving the governing partial differential equations (PDEs) and the resulting system of fully coupled nonlinear equations using an iterative solution procedure (dense/sparse).

- Introduced the application of XFEM to numerical modeling and simulation of the hydraulic fracturing problem in multi-phase porous media.


## Education
### Artificial Intelligence Graduate Program
Stanford University

### Post-Doctoral Research Scholar in Engineering & Applied Science
Caltech

### Doctor of Philosophy (Ph.D.) in Computational Mechanics
Sharif University of Technology

### Master of Science (M.Sc.) in Computational Mechanics
University of Tehran

### Bachelor of Science (B.Sc.) in Engineering
Iran University of Science and Technology


## Contact & Social
- LinkedIn: https://linkedin.com/in/toktam-mohammadnejad-42ab4a98

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Source: https://flows.cv/toktam
JSON Resume: https://flows.cv/toktam/resume.json
Last updated: 2026-04-01