Akshay P P
AI Accelerator Engineer | Model Bring-up & Optimization on Accelerators | Edge AI | PyTorch | YOLO
- Role
- Senior Engineer at Ignitarium
- Location
- Kochi, KL, IN
- LinkedIn followers
- 500 followers
About Akshay P P
I am an ML systems engineer working at the intersection of deep learning models and AI accelerator hardware.Currently at Ignitarium, where my primary focus is deploying and validating state-of-the-art deep learning models on Tenstorrent’s custom AI accelerators using the TT-Metal software stack.My work involves:• Porting and deploying complex vision and multimodal models onto Wormhole and Blackhole architectures• Adapting model graphs to accelerator-specific execution constraints• Debugging functional and performance issues across compiler, runtime, and kernel layers• Validating numerical correctness and performance against reference frameworksI have hands-on experience working with transformer-based models, perception networks, and large vision pipelines, and I enjoy solving low-level performance and systems challenges that sit close to the hardware.I’m particularly interested in AI compilers, accelerator runtimes, and scalable deployment of ML models on next-generation hardware.
Experience
Senior Engineer
Dec 2024 — Present · Kochi, IN
Deployed and validated deep learning models on AI accelerators• Worked on model bring-up and execution for Client architectures• Ported vision and transformer-based models by adapting computational graphs to accelerator constraints• Debugged runtime, kernel-level, and numerical issues during model execution• Performed correctness validation and performance analysis against reference PyTorch modelsModels worked on include: GPT-OSS, Panoptic-DeepLab, Transfuser, MapTR, Efficientdet D0, YOLO variants, Stable Diffusion components
Education
Government Engineering College, Thrissur
Bachelor of Technology - BTech, Electronics and Communications Engineering
2015 — 2019
NATIONAL INSTITUTE OF ELECTRONICS & INFORMATION TECHNOLOGY (NIELIT)
Master of Technology - MTech, embedded systems
2020 — 2022
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