JackĀ Jacarta
Software Development Engineer at non
Delhi, India
Summary
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RockstarJack Jacarta is a Software Development Engineer based in Delhi with seven years of experience focused on high-performance embedded and ML systems. He contributes to prominent open-source projects like TensorFlow Lite Micro, where he implemented Xtensa kernel support, added new ops such as AddExp, and optimized CONV2D and DEPTHWISE_CONV2D for Vision P6 hardware. Jack blends low-level performance tuning with collaborative development, demonstrating both hardware-aware optimization and build-system problem solving. His background suggests a pragmatic engineer who turns research-grade ML models into efficient deployments on resource-constrained devices.
6 years of coding experience
Github Skills (8)
embedded10
c-language10
tensorflow-lite10
cprogramming-language10
sys10
xtensa10
machine-learning8
bazel8
Programming languages (1)
Github contributions (4)
tensorflow/tflite-micro
Oct 2021 - Dec 2021
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
Role in this project:
ML Engineer
ML EngineerContributions:8 reviews, 5 commits, 9 PRs in 2 months
Contributions summary:Jack primarily contributed to the implementation and optimization of the TensorFlow Lite Micro framework, specifically for embedded systems. They added support for Xtensa kernels, fixed build errors, and incorporated new operations like AddExp. Furthermore, the user implemented optimizations for CONV2D and DEPTHWISE_CONV2D for the Vision P6 platform, indicating a focus on performance enhancement for specific hardware. They also co-authored commits, showcasing collaborative development within the project.
signalml-modelslow-powerprocessorsdeployment
jackagoogle/tflite-micro
Sep 2021 - Dec 2021
TensorFlow Lite for Microcontrollers
Contributions:14 pushes, 8 branches in 3 months
tensorflow-litelitetensorflowmicrocontrollers
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