Gurwinder Singh
AI SDE & GPU Engineer · Intel India · Bangalore
Who I Am
I’m an AI Software Solutions Engineer at Intel India with 5+ years of experience in GPU software development, AI frameworks, and graphics systems. My work sits at the intersection of deep learning, compiler infrastructure, and GPU hardware — building the low-level foundations that make large-scale AI workloads fast.
I specialize in PyTorch GPU extension development, kernel enablement via SYCL C++ and Triton backends, and AI accelerator/GPU integration. I’ve contributed to Intel’s driver stack (DirectML, DX12, UMD), deployed large video AI models on Intel GPUs, and led research spanning AR/VR, vision transformers, and educational AI tools.
Work Experience
AI Software Solutions Engineer — Intel India
June 2021 – Present
- PyTorch GPU extension development and kernel enablement (SYCL C++ & Triton backend) for AI-accelerator/GPU integration
- Profiled and optimized AI LLM models for PyTorch Compile on AI accelerators, achieving significant throughput gains
- Developed PyTorch features: quantization, deterministic execution, C++ callable modules, strided tensors, channels-last memory format
- Built an AI Agents framework that validates mathematical properties of PyTorch operators across all major hardware backends
- Deployed Video Vision Transformers on Intel GPUs for cloud gaming/VDI — 10x assessment throughput, 50% better frame corruption detection
- Server driver development (Indirect Display Driver & UMD: DirectML DX12) for Intel Arctic Sound M and Ponte Vecchio — 95%+ driver health at beta release
Startup Founder & Lead Programmer — Dream Deor Pvt Ltd
Chitkara Innovation Incubator · Jan 2020 – Apr 2021
- Delivered AR/VR & AI solutions and deep learning simulations for multiple businesses (products sold on Amazon)
- Built experiences for HTC Vive, Oculus Rift/Quest with hardware like Zed Mini cameras, Leap Motion, Xbox Kinect
- Developed Unity simulations, libraries, and game templates for clients and partners
Research Scholar (AI & Graphics) — CURIN, Chitkara University
Jul 2018 – May 2021
- Built Unity and Vulkan visualization tools used by PhD scholars and research labs
- Created two major interactive educational simulation tools for linear algebra and trigonometry
- Taught 5+ game specialization courses: AI with PyTorch, OpenGL, Game Architecture, and more
Education
M.E. in Computer Science — Chitkara University, India (2018–2021)
- 3 patents filed in AR/VR & AI · 6 research papers published (SCI Journals & IEEE) · INR 10+ Lakhs in research grants
Research & Publications
- VQA through Video Vision Transformer — Intel DTTC 2024
- Interactive Learning for Linear Algebra Using AR as Visualization — ICARE, Springer 2024
- Hyperspace AR: Spatial Skills via AR in Trigonometry — Multimedia Tools & Applications, Springer 2023
- AR-Based Application for Linear Algebra Visualization — IEEE Conference 2022
- AR-Based Learning Tools for Memory Retention in K-12 — ETBS, Springer 2021
- Emotion Recognition using DCNN on Physiological Signals — IEEE Conference 2020
Awards & Recognition
- 🏆 Academic Excellence Award — Chitkara University (2021)
- 🏆 BRIC Technology Exposition 2020 — NRDC & FICCI
- 🏆 Novate+ NewGen IEDC Grant 2019 & 2020 — Government of India
- 🏆 AR/VR Startup Competition — IIT Bhubaneswar (2019)
- 🏆 Tech Sparsha 2k19 — National Level Prototyping Hackathon (2019)
International Lectures
- Accelerated AI and its Mathematical Foundation with Linear Algebra (2024) — Universiti Teknologi PETRONAS, Malaysia
- Computational Models with LLM (2023) — Universiti Teknologi PETRONAS, Malaysia
- Mathematical Visualization for Learning (2022) — Universiti Teknologi PETRONAS, Malaysia
Personal Projects
AR 3D Simulator — Linear Algebra Tool (Grant: INR 400k)
Augmented Reality tool to help students visualize linear algebra and trigonometry concepts through interactive 3D models and simulations.
Mano-Aid — AI Medical Device (Grant: INR 250k)
AI-driven VR system to monitor physiological signals (heart rate, EDA, hand tremors) for real-time health assessment in neurological conditions.