👋 About Me

I am a undergradute majoring in computer engineering at uw-madison. My interests lie in energy efficent neural network inference ASIC design.

📚 Education

• University of Wisconsin-Madison, College of Engineering
  Bachelor of Science, Computer Engineering (Machine Learning Specialization), Computer Science Minor
  GPA: 3.86/4.0
  Expected Graduation: 2026

🔬 Projects and Experiences

ARM-Based AI Inference Accelerator for Meta Llama 2 Repo

• Developed an ASIC on the AMD Xilinx platform for a scaled-down 50M Llama 2 model using a systolic array optimized for INT8 quantization in SystemVerilog.
• Implemented the Llama 2 architecture from scratch in C, leveraging an ARM Cortex microprocessor.
• This architecture increased power efficiency by offloading intensive matrix multiplications, allowing the ARM chip to focus on general system operations.

Pipelined RISC CPU Repo

• Designed, in collaboration, a 5-stage pipelined MIPS CPU in Verilog with control, data hazards prevention and exception handling.
• Integrated a two-way set-associative cache with four-banked memory and optimizations like bypassing, forwarding, and branch prediction to minimize pipeline stalls.

Autonomous Robot Chip Synthesis Repo

• Worked in a team of four, under Eric Hoffman’s guidance, to design an autonomous robot capable of executing the entire Knight’s Tour on a chessboard, entirely at the RTL level.
• Employed a PID controller with PWM for precise movement and positioning. Utilized UART and SPI interfaces for effective communication between the robot’s components and the microprocessor.
• Simulated and Synthesized on Intel Quartus and Synopsys using a 32nm library. Applied PVT and low-level constraints, optimizing the design and meeting max and min delay slack with clock uncertainty.

📘 Advanced Courses I’ve Taken

• ECE 551: Digital Design and Synthesis
• ECE 552: Computer Architecture
• ECE 532: Matrix Methods in Machine Learning
• CS 577: Introduction to Algorithms
• ECE 352: Digital System Fundamentals
• ECE 354 : Machine Organization and Programming (The C language)

📈 Skills

• Languages: SystemVerilog, Python, C++, C
• Tools: Synopsys Design Vision, ModelSim / Questa , PyTorch, Tensorflow
• Core Competencies: ASIC Design, Digital System Design, CPU Architecture, Machine Learning Algorithms, Neural Network Inference Optimization

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