Computer Science Engineering @ IIIT Hyderabad | Researcher @ CSTAR

I am a software engineer and researcher focused on high-performance computing, adversarial machine learning, and systems engineering. I prefer working with local tools, Git-based workflows, and building system-level software optimized for latency and performance.

• Adversarial Machine Learning: Researching model watermarking, backdoor detection, and intellectual property protection in neural networks at the Center for Security, Theory and Algorithmic Research (CSTAR).
• High-Performance Computing: Writing and optimizing convolution kernels and matrix multiplications using CUDA, Triton, and SIMD intrinsics.
• Edge AI: Deploying on-device models using Qualcomm SNPE and local LLM inference.
• Competitive Programming: Active problem solver (Specialist on Codeforces).

• Wirre: A competitive software engineering assessment platform designed to test production-level skills.
• FOCUS: A grant-funded cybersecurity framework.

• Systems & HPC: C, C++, CUDA, Triton, SIMD
• AI/ML: PyTorch, TensorFlow, Scikit-learn, Hugging Face, Qualcomm SNPE/QIDK
• Full-Stack & Deployment: Python, TypeScript, React, Next.js, FastAPI, Node.js, SQL
• Security & Network: Wireshark, Metasploit, Nmap, OWASP tools

• LinkedIn: linkedin.com/in/arya-r-mirani
• Email: aryamirani06@gmail.com
• Codeforces: jaagte_raho