Aditya Srichandan

I have a strong background in GPU systems, high-performance computing, and machine learning infrastructure, with hands-on experience optimizing deep learning workloads on modern hardware. I work on performance tuning, kernel optimization, and debugging across the ROCm stack, including libraries like MIOpen and integrations with frameworks such as PyTorch.

My core technical skills include C, C++, and Python, along with experience in compiler technologies like LLVM/MLIR, where I focus on graph optimizations, kernel fusion, and efficient execution strategies. I am comfortable working close to hardware, including profiling GPU workloads, analyzing bottlenecks, and improving memory and compute efficiency.

Additionally, I have experience building and testing algorithmic trading strategies, applying data analysis and automation to real-world decision-making problems. I am particularly interested in projects that involve systems optimization, ML infrastructure, compiler development, or performance engineering at scale.