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@TheEquidistantProject @Neuracare

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rmadith/README.md

Muthu Adithya Ramnarayanan

Education

  • Georgia Institute of Technology — M.S. Electrical and Computer Engineering (Aug 2024 – Dec 2026), Atlanta, GA
  • University of Wisconsin–Madison — B.S. Computer Engineering (Aug 2021 – May 2024), Madison, WI

Experience

  • Tenstorrent — RISC-V Cores Intern (Jan 2025 – Aug 2025, Austin, TX)
    • Brought up the Ascalon single-core design on an emulation platform while optimizing hardware resource utilization.
    • Built a custom Linux kernel with OpenSBI and UART polling to accelerate bring-up of embedded workloads.
    • Tuned DOOM rendering pipelines in C++ with frame-buffer and memory-efficient data structures for higher FPS on constrained systems.
    • Authored C++/SystemVerilog testbenches that validated customer memory subsystems and uncovered pre-silicon bugs.
  • Georgia Institute of Technology — Researcher (Sept 2024 – Jan 2025, Atlanta, GA)
    • Enhanced GNNBuilder to convert graph neural networks into FPGA implementations that deliver higher inference throughput.
    • Profiled and debugged Xilinx Vitis HLS designs to eliminate deadlocks, caching faults, and logic bottlenecks.
    • Experimented with pipelining, caching, and out-of-order execution strategies to accelerate state-of-the-art GNN workloads.
  • Elvo AI — Software Engineer (Sept 2024 – Jan 2025, San Francisco, CA)
    • Architected and delivered an AWS-backed infrastructure stack with secure auth, observability, and autoscaling foundations.
    • Delivered the initial Next.js product experience, then rebuilt it as a mobile-first Expo application with shared component libraries.
    • Designed ML pipelines and automated agentic workflows that improved operational efficiency by 30%.
  • University of Wisconsin–Madison — Undergraduate Student Researcher (Mar 2023 – May 2024, Madison, WI)
    • Built a 10 MHz (±25 Hz) digital modulator/demodulator for an IARPA-sponsored communications project.
    • Implemented pipelined ASK, BPSK, and MFSK hardware modulation targeting RF antenna systems.
    • Hardened FPGA designs for tighter clock stability and delivered higher-fidelity digital PWM control.

Projects

  • Embedded ML Inference System (May 2024 – Aug 2024) — Designed a custom SystemVerilog RISC-V CPU with ML-specific instructions, integrated camera/peripheral drivers, and achieved a 30% Imagenet inference speedup over a baseline core.
  • Tanks! (Jan 2024 – May 2024) — Built an embedded C game targeting a five-stage RISC-V pipeline with interrupts, dynamic branch prediction, and a handcrafted VGA graphics engine. GitHub
  • MazeRunner (Aug 2023 – Dec 2023) — Engineered an FPGA-driven robotics platform with custom SystemVerilog I2C/SPI controllers, pipelined PID motor control, and Design Compiler timing closure.

Technical Skills

  • Languages: SystemVerilog, Embedded C, C/C++, CUDA, Python, Java, Bazel
  • Tools: UVM, FreeRTOS, git, gdb, Bash, Cadence Virtuoso, Synopsys ICC, Questa, Quartus, Xilinx Vitis HLS
  • Coursework: Generative & Geometric Deep Learning, Computer Architecture, VLSI, Digital System Design & Synthesis, Embedded Systems, Parallel Programming, Operating Systems, Matrix Methods in ML, Artificial Neural Networks

Contact

Pinned Loading

  1. 554 554 Public archive

    Spring 2024 Capstone Project

    Assembly

  2. TheEquidistantProject/ml-suite TheEquidistantProject/ml-suite Public

    AI/ML Implementation for the Equidistant Project

    Python 1

  3. Javin Javin Public

    Python 1

  4. Fake-Detection Fake-Detection Public

    Java

  5. FORTRAN-Viscosity-Analysis FORTRAN-Viscosity-Analysis Public

    Fortran

  6. tech-trends-backend tech-trends-backend Public

    Jupyter Notebook