Aravind Srinivas
AI Founder
Verified Proof of Work Artifacts
2 items catalogedEach artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Aravind Srinivas. Every entry undergoes editorial source verification.
Bottleneck Transformers for Visual Recognition (BoTNet)
Co-authored BoTNet, an architecture that replaces the final spatial convolutions in ResNet with Multi-Head Self-Attention, achieving 84.7% Top-1 accuracy on ImageNet while substantially improving instance segmentation and object detection on COCO.
Quadratic memory complexity in early spatial layers restricts attention blocks to deeper, downsampled feature maps in the network.
Perplexity Sonar and Real-Time Agentic Search Pipeline
Architected Perplexity's conversational search engine and Sonar API, synthesizing real-time multi-source web crawling, dense vector retrieval, dynamic citation parsing, and fine-tuned LLM response generation with strict anti-hallucination attribution.
Subject to latency variance across heterogeneous external web APIs; adversarial or SEO-manipulated web sources require continuous algorithmic filtering.