Education

B.S. in Computer Science

University of California, Santa Barbara
06/2027

Relevant Courses: Foundation Models (grad), Machine Learning, Generative AI, Operating Systems, Parallel Computing

GPA: 3.98/​4.0

Experience

NVIDIA

ML Engineer Intern
06/2026 – Present | Santa Clara, CA
  • •Developing post-training datasets and RL environments for Nemotron, spanning supervised fine-tuning, reinforcement learning, and distillation across text, image, and video modalities.
  • •Building synthetic data generation pipelines to identify and filter outliers, noise, and bias for large-scale training.
    • 03/2026 – 06/2026 | Santa Barbara, CA
  • •Developed core coding agent capabilities for long-horizon hardware workflows, including async subagents, agent teams, background bashes, user steering, and goals.
  • •Built a benchmark to evaluate ChipAgents performance on functional coverage, diagnosing failure modes and improving performance on real-world SoC repositories.
  • •Led development of a collaborative AI workflow platform for hardware teams across functional, formal, and code coverage.

    • UCSB AI Group⁠

    Undergraduate Researcher | Advisor: Xin Eric Wang
    10/2025 – Present | Santa Barbara, CA
  • •Proposed an evolving benchmark and task generation method to challenge frontier models on multi-agent cooperation and theory of mind, exposing failures in safe and trustworthy AI.
  • •Released an open-source evaluation framework⁠ and task library on top of the Meta Habitat robot simulator supporting 10+ agents in a realistic household, enabling future directions in multi-agent cooperation research.
  • •Developing a testbed to understand long-context degradation in coding agents and foundation models, isolating context rot from task difficulty.
    • 06/2025 – 09/2025 | San Jose, CA
  • •Wrote depthwise convolution kernels in Rust to achieve 16x faster performance on our NPU. Evaluating on MobileNetV2 demonstrated a 5.8x improvement in inference latency.
  • •Explored efficient autoscheduling for CNN/​MLP operations by extending Halide to support in-memory compute primitives.
    • Publications

    Gurusha Juneja*, Dylan Lu*, Saaket Agashe, Parth Diwane, Edward Gunn, Jayanth Srinivasa, Gaowen Liu, William Yang Wang, Yali Du, Xin Eric Wang

    Awards
    10/2025

    Won the world's largest collegiate hackathon (3k+ participants, 700+ teams) building a computer-use agent platform to remotely control Macs through iMessage and FaceTime. Released 1 month before OpenClaw.

    Technical Skills
    Machine Learning — Python, PyTorch, Hugging Face Transformers, OpenAI Gym, ONNX, Halide