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👦🏻 about me

  • i'm aditya, an engineer and a nyu and bits pilani alum
  • i work on problems in robotics, computer vision, and machine learning.
  • i'm interested in multi-modal ai models for perception, localization, mapping and control.
  • let me know if you have an opportunity in the large multimodal models + robotics space
  • my diverse skillset and experience makes my a good candidate for the following positions:
    • software engineer, research engineer, perception software engineer, computer vision engineer, machine learning engineer, data scientist
  • let's have a chat and find out how i can help you. contact details can be found at the bottom.

🔨 my toolkit (non-exhaustive):

  • languages: python, c++, c, matlab, cuda, bash
    • learning rust currently.
  • frameworks: pytorch, opencv, open3d, keras, tensorflow, lightning, huggingface transformers, cmake, eigen, tensorrt
    • learning jax currently.

📫 contact me

Aditya Wagh's Projects

3d-reconstruction-loftr icon 3d-reconstruction-loftr

Pose estimation pipeline for 3D Reconstruction using LoFTR (Local Feature Transformer) detector free feature matcher.

ar-cube icon ar-cube

AR Cube construction on a fiducial marker using basic projective geometry.

bovw icon bovw

Bag of visual words approach to find similar images from a database.

cnn-damage-assessment icon cnn-damage-assessment

Multi-Head Convolutional Networks for Post Earthquake Damage Assessment of Damaged Buildings

csrankings icon csrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

cv icon cv

Repository to manage my CV.

dsplab icon dsplab

Collection of the lab coursework for Digital Signal processing (EEE F434)

hpc-tutorial icon hpc-tutorial

A quick overview of how to access and use NYU's HPC resources for coursework related workload.

ivy icon ivy

Working fork for the Ivy framework

orb_slam2 icon orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

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