👋 Hi, I’m Gajesh

Applied AI Researcher | Frontier AI & World Models | Scalable Vision Systems

Welcome, I’m Gajesh, an applied AI researcher with 4+ years of hands-on experience in computer vision and large-scale visual systems.
My work sits at the intersection of frontier vision research, representation learning, and real-world spatial intelligence.

I focus on building, training, and evaluating foundation-style vision models, with a strong emphasis on self-supervised learning, world models, and scalable inference — often grounded in high-resolution, large-scale visual data.

🧩 What I Work On

• Frontier Vision Research
  Self-Supervised Learning, Representation Learning, World Models, Foundation Vision Backbones

• Applied Computer Vision
  Segmentation, Detection, Dense Prediction, Super-Resolution, Vision-Language & Generative Models

• Large-Scale Spatial Systems
  Earth Observation, Geospatial Intelligence, Route Optimization, Building & Infrastructure Mapping

• Scalable ML Systems
  PyTorch, Dask, Xarray, Distributed Training & Inference, Cloud-native AI (AWS / GCP)

I care deeply about signal over noise, open research, and shipping real systems — from training large models to releasing datasets, weights, and reproducible code.