Gen AI & ML Engineer | MSCS @ Northeastern | Senior Software Engineer | Solutions Architect | Simplifying AI & Data Engineering, LLMs, NLP, CV | The BIG DATA guy
- πΈοΈ VENN - A research intelligence workspace that turns papers into navigable knowledge graphs
- π ValueGraphs - VG sits above KG and CG: it consumes both to answer "What matters?" and "What should we do?"
- π¬ VOLI - One App to Research it All β end-to-end autonomous AI Deep-Researcher and ML Scientist (Volitional)
- βοΈ vAWSie - Visual-first, AI-native operating system for AWS β live topology, Nova co-pilot, workflows from description or diagram
- βοΈ VERSUS - AI blog series that compares competing models, architectures, and systems through interactive visuals
- π VEDIS - Personal Notes turned into drag-and-drop style gamified webapp
- βοΈ VISION - Turn everything you save into a knowledge graph that thinks for you
- π§ VIA - VIA Canvas : intelligent infinite canvas that transforms how you capture, organize, and explore knowledge
- π VIEW - StrandsView β Visual Workflow Builder for multi-agent systems using the Strands Agent SDK
- π§ VRAM - Variable Reinforcement-Augmented Memory β Scalable Memory Management for LLM Agents via Small Learned Policies
- π€ VALAR - Experiments with Agentic AI
- π VALE - Vale Browser β reimagines the browser, note-taking, and AI interaction through an infinite canvas interface
- βοΈ VIBE-Devops - Agentic Cloud Architect for AWS β a multi-agent system that turns natural-language requirements into reviewable, safe AWS infrastructure
- Latentmas β Latent Collaboration in LLMs
- How I Learned Atari from Pixels with Deep RL
- The Day We Taught Machines to Learn
- Journey Through Distributed Systems
- Anthropic Good Reads β Multi-Agent Research System
- Mechanistic Interpretability β Open Problems
- NeRF β Representing Scenes as Neural Radiance Fields
- Techniques for Long-Horizon Planning with Sparse Rewards
- LLMs for Code Generation
- Can LLMs Replace Data Analysts?
If you want to go fast, copy. If you want to go far, think.
There are only 4 levels of Action: 1. Nothing, 2. Retreat, 3. Average, 4. Massive