Mohammad Danish
Software Engineer at NXP Semiconductors
Delhi, India
Summary
👤
Senior🎓
Top SchoolMohammad Danish is a Software Engineer with 9 years of experience who combines low-level firmware and driver development for automotive SoCs with quantitative AI/ML modeling for finance and predictive systems. At NXP he designs secure BootROM and low-power drivers, using FPGA-based pre-silicon workflows to ensure performance and hardware-software co-validation. He also builds and backtests option-pricing and derivatives strategies and develops deep learning and reinforcement learning models, bringing rigorous statistical thinking to system-constrained environments. Comfortable in C/C++, Python and performance optimization, he bridges hardware-aware engineering and data-driven algorithm design. A former M.Tech TA and mentor, he pairs teaching experience with practical production deliveries, making him effective at translating complex theory into robust, deployable solutions.
9 years of coding experience
2 years of employment as a software developer
Master of Technology - MTech, Software Engineering, Master of Technology - MTech, Software Engineering at Delhi Technological University (Formerly DCE)Bachelor of Technology - BTech, Electronics and Communications Engineering, Bachelor of Technology - BTech, Electronics and Communications Engineering at Netaji Subhas University of Technology, East Campus
English, Hindi
Github Skills (42)
histogram8
image-processing7
face7
pattern7
face-recognition7
anaconda6
face-detection6
flask-application5
python5
opencv5
css4
heroku4
flask4
arxiv4
deep-learning3
Programming languages (4)
Github contributions (5)
okmd/authenticate-using-face-recognition
Apr 2018 - Nov 2020
Face recognition, Eigenfaces, Local Binary Pattern Histogram, Fisherfaces, opencv, pyqt.
Contributions:15 commits, 11 pushes, 2 branches in 2 years 8 months
pythonmachinelearningface-recognitionrecognitionfisherfaces
okmd/leetcode
Apr 2021 - Oct 2022
Contributions:528 commits, 371 pushes, 1 branch in 1 year 6 months
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