I am a Machine Learning Engineer and Blockchain Developer passionate about pushing the boundaries of what's possible with hardware-constrained AI and decentralized networks.
- π Iβm currently building WorldNgen (AI-generated 3D worlds on-chain) and Glimpse (Multimodal Arweave Search).
- π Hackathon Winner: Smart India Hackathon (Govt of India), Agents of the Permaweb, Neo X Grind.
- π¬ Research Focus: Unsupervised Learning, Multimodal Embeddings (ImageBind/CLIP), and Decentralized Compute (AO/Solana).
- βοΈ Daily Driver: Arch/Ubuntu Linux on a DGX A100 & Custom Rigs.
| Project | Description | Tech Stack |
|---|---|---|
| Glimpse | Multimodal Search Engine on Arweave. Indexes 200TB of data using custom ImageBind embeddings to allow cross-modal search (Text-to-Image/Audio). | Python PyTorch Arweave |
| AOLearn | Decentralized ML Framework. A framework allowing developers to train and deploy ML models directly on the AO Hyper-parallel Computer. | Lua AO Python |
| YOLOv9-Keras | Paper Implementation. One of the first TensorFlow/Keras ports of the YOLOv9 architecture, reproducing the GELAN backbone. | TensorFlow Keras CV |
| SDXL-RLHF | Generative Optimization. An RL agent that tunes Stable Diffusion XL refiner parameters using CLIP scores as rewards. | Python Diffusers RL |
| XLA-Opt | Hardware Optimization. Pipeline using Pruning, INT8 Quantization, and XLA to run billion-parameter models on free-tier cloud instances. | XLA TFLite Google Cloud |

