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gautham-ramkumar/README.md

Typing SVG

Building perception systems that understand geometry, light, and the world in 3D

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gautham-ramkumar

About Me

MS Robotics student at Northeastern University, Boston with a focus on 3D vision, deep learning for perception, and autonomous systems. I work at the intersection of classical geometry and modern neural methods — from 3D Gaussian Splatting and Structure-from-Motion to sensor fusion and Vision-Language-Action models.

I believe in building things from scratch first — understanding the math before using the library.

  • 🎓 MS in Robotics — Northeastern University, Boston (GPA: 3.636)
  • 🔭 Currently exploring Vision-Language-Action (VLA) models and neural scene representations
  • 🛠️ Building from scratch: DQN in PyTorch → Gaussian Splatting → fine-tuning VLAs on sim benchmarks
  • 📍 Boston, MA
  • 💼 Actively seeking full-time roles in Perception & Autonomy

Featured Projects

Project Description Stack
DarkSight Perception-aware low-light enhancement for autonomous systems — DS3DConv + ConvGRU recurrent pipeline with RAFT temporal stability, TensorRT deployment at 21 FPS, and YOLOv8 integration on Intel RealSense D435 PyTorch TensorRT Zero-3DCE RAFT YOLOv8 RealSense
gaussian-splatting 3D Gaussian Splatting from scratch — Buddha statue reconstruction with COLMAP, Docker, and CI/CD Python COLMAP Docker 3DGS
3D-Reconstruction-using-SfM Incremental SfM pipeline with OpenCV PnP tracking and GTSAM Bundle Adjustment Python OpenCV GTSAM SfM
Semantic-Color-Constancy Novel color constancy method leveraging object-level semantic priors — CS 7180 Advanced Perception PyTorch Semantic Segmentation CV
Camera-LiDAR-Temporal-Calibration Temporal calibration between camera and LiDAR for autonomous field robotics Python ROS Sensor Fusion Calibration
2D-EKF-using-GPS-and-IMU Extended Kalman Filter fusing high-frequency IMU with async GPS for vehicle trajectory estimation Python EKF IMU GPS

Tech Stack

Deep Learning & Vision

PyTorch TensorFlow OpenCV 3D Gaussian Splatting NeRF Transformers SLAM

Programming

Python C++ CUDA MATLAB Bash

Robotics & Simulation

ROS 2 MuJoCo Gazebo GTSAM COLMAP Sensor Fusion

Tools & Infra

Docker Git Linux Jupyter GitHub Actions

Education

Degree Institution GPA Focus
MS in Robotics (2024 – 2026) Northeastern University, Boston 3.636 3D Vision, Deep Learning for Robotics, Autonomous Systems
BTech in Electronics & Communications Engineering (2020 – 2024) Vellore Institute of Technology, Chennai, India 8.09 / 10 (3.48 GPA) ML, Digital Image Processing, Computer Vision, Deep Learning

Research Interests

3D Scene Representation  →  Gaussian Splatting, NeRF, SfM, SLAM
Perception               →  Color Constancy, Image Enhancement, Sensor Fusion  
Embodied AI              →  Vision-Language-Action Models, Sim-to-Real Transfer
State Estimation         →  EKF/UKF, Camera-LiDAR Calibration, IMU Fusion

Geometry first. Neural next. Ship when it works.

Ask me about: 3D Gaussian Splatting · SfM · SLAM · Sensor Fusion · VLMs · Deep RL

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  1. DarkSight DarkSight Public

    Python

  2. gaussian-splatting gaussian-splatting Public

    3D Gaussian Splatting from scratch — Buddha statue with COLMAP reconstruction, Docker, and CI/CD

    Python

  3. Camera-LiDAR-Temporal-Calibration Camera-LiDAR-Temporal-Calibration Public

    Final project for the course EECE 7150 Autonomous Field Robotics under Prof. Hanumant Singh.

    Python

  4. Semantic-Color-Constancy Semantic-Color-Constancy Public

    Final Project of CS 7180 - Advanced Perception under Prof. Bruce Maxwell. Engineered a novel methods for solving color constancy problem by taking advantage of objects and it's colors present in th…

    Python 1

  5. 3D-Reconstruction-using-SfM 3D-Reconstruction-using-SfM Public

    A robust Incremental SfM pipeline implemented in Python. Reconstructs sparse 3D geometry from monocular images using OpenCV for sequential PnP tracking and GTSAM for global Bundle Adjustment optimi…

    Python

  6. 2D-EKF-using-GPS-and-IMU 2D-EKF-using-GPS-and-IMU Public

    A Python implementation of an Extended Kalman Filter (EKF) designed to fuse high-frequency IMU data with asynchronous GPS measurements for accurate vehicle trajectory estimation.

    Jupyter Notebook