cv

An extended version of my resume. For a shorter one, please refer to the pdf on the right.

Basics

Name Adithya Narayan
Label Machine Learning Engineer
Email anaraya2@andrew.cmu.edu
Phone (412) 737-4602
Url https://adithyaknarayan.github.io/
Linkedin https://www.linkedin.com/in/adithya-n-b637b8146/

Work

  • 2024.09 - Present
    Research Collaborator
    CMU Lab4D++ (Opensource)
    Exploring generative image priors and sim-2-real pipelines for 4D reconstruction and interaction modeling.
    • Investigated the use of generative image priors for Gaussian Splatting in 4D reconstruction tasks.
    • Built a Unity-based sim-2-real pipeline for modeling human/scene interactions.
  • 2024.09 - Present
    Graduate Research Assistant
    Human Sensing Laboratory | Meta Reality Labs
    Collaborating with Meta to enhance the robustness of SoTA depth estimation and semantic segmentation models.
    • Developed adversarial sampling techniques for 3D scene parameters using differentiable renderers.
    • Created a synthetic data pipeline in Blender to animate trajectories and generate texture and depth maps.
  • 2023.03 - 2024.07
    Machine Learning Engineer
    Arintra
    Improved medical LLMs and system efficiency for clinical applications.
    • Applied Retrieval-Augmented Generation to medical LLMs, improving ICD code prediction accuracy by 6%.
    • Designed a CI/CD system for ML models using MLFlow, FastAPI, and GCP, ensuring zero downtime.
  • 2022.02 - 2023.03
    Machine Learning Engineer
    Klothed
    Worked on 3D reconstruction and synthetic data pipelines for consumer avatar generation.
    • Integrated sparse-view 3D reconstruction models with diffusion inpainting for clothed avatar generation.
    • Optimized 2D image warping pipelines using FEM techniques and SciPy, reducing inference time by 90%.
  • 2020.11 - 2021.11
    Research Engineer
    Origin Health
    Developed domain-specific synthetic data and segmentation pipelines for fetal brain imaging.
    • Co-authored research improving fetal biometry measurements with synthetic data and attention mechanisms.
    • Generated synthetic data samples using GANs and domain adaptation, boosting segmentation mIOU by 20%.

Education

  • 2024.09 - 2025.12

    Pittsburgh, PA

    Master of Science
    Carnegie Mellon University
    Computer Vision
  • 2017.07 - 2021.07

    Karnataka, India

    Bachelor of Technology
    Manipal Institute of Technology
    Electronics and Communication

Publications

Skills

Programming Languages
Python
C++
Java
Bash
Libraries and Frameworks
PyTorch
PyTorch3D
Torch-TensorRT
OpenCV
TensorFlow
Keras
Pandas
SciPy
NumPy
Tools and Platforms
Docker
GCP
Redis