Experience
I specialize in RTL, ASIC design, transformers, compilers, and product design. But I am always learning new things. Here are some of the places I have worked.
ASIC Design Flow Researcher
SoCET Lab
2023 -
Chip Design Intern
STARS @Purdue
Summer 2024
Student Researcher
Stanford Cornfield Lab
2022 - 2022
Research Intern
IBM Almaden
2021 - 2021
Projects
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Optimized Triton GEMM Kernel for Transformer Inference on Non-NVIDIA GPUs
GEMM kernel for efficient self-attention and feedforward mechanisms in LLMs. Targeting improvements in throughput, latency, and memory efficiency compared to cIBLAS.
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Darwin
A multimodal AI learning assistant that enhances online lecture learning and retention with personalized review and highlights.
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ROV Autonomous CV System
Dual-camera stereovision system for accurate depth estimation and 3D mapping, YOLOv5 integration for object detection and tracking.
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HUGS: Haptic Under-Garment Support
A Flexinol-contracting vest with custom PCB and smart app to deliver immediate DTP for anxiety/autism patients.
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Using an Ensemble of GANs and CNNs to More Accurately Generate and Diagnose Skin Condition Datasets in Diverse Skin Types
Generated and validated synthetic images to address ethical AI bias due to lack of diverse skin condition images.