Designing efficient intelligent systems across hardware, ML, embedded platforms, and deployable software.

I'm a dual-degree student building efficient intelligent systems
at the intersection of AI, digital hardware, verification, and deployable software.

⚙️ AI accelerators • hardware-aware ML • RTL design • verification workflows

🧠 Binary / quantized neural networks • embedded intelligence • scalable system engineering

🚀 Research-driven ideas translated into practical engineering systems

🧩 AI hardware and accelerator-oriented design
🔧 RTL design, verification, and co-design workflows
⚡ Efficient inference with binary / quantized neural networks
📡 Embedded and edge intelligence systems
🩺 Applied ML for real-world engineering domains
🛠️ Tooling and automation for hardware development

Building toward efficient, deployable, and research-driven intelligent systems.

⚙️ AI accelerator architectures and co-design workflows
🔍 Verification automation and modern tools
🧠 Binary / quantized neural networks for efficient inference
📡 Embedded intelligence for real-world deployment
🚀 Open-source engineering across AI and hardware systems

BS in Data Science — IIT Madras
B.Tech in Electrical and Electronics Engineering — Amrita Vishwa Vidyapeetham

GitHub • LinkedIn • Portfolio • Email

Building efficient, intelligent systems where hardware, software, and learning meet.