Vansh Ramani

Co-Founder

San Francisco, California, United States2 yrs 3 mos experience

Key Highlights

  • Co-founder of a Y Combinator startup.
  • Published multiple research papers in top conferences.
  • Expertise in Graph Machine Learning and Neural Networks.
Stackforce AI infers this person is a Researcher in AI and Machine Learning with a focus on Graph-based methodologies.

Contact

Skills

Core Skills

Large Language Models (llm)Deep LearningMachine LearningGraph Machine LearningGenerative ModelsHigh Dimension Neighbour Search

Other Skills

Spatial Data ManagementDatabasesSearch AlgorithmsLarge-scale Data AnalysisParallel AlgorithmsPython (Programming Language)JupyterData AnalyticsData AnalysisTheoretical Computer ScienceGraph TheoryArtificial Neural NetworksGraph Neural NetworksMachine UnlearningNeurosymbolic frameworks

About

0 --> 1 @ RamAIn World's fastest computer use agents

Experience

2 yrs 3 mos
Total Experience
1 yr 3 mos
Average Tenure
5 mos
Current Experience

Ramain (yc w26)

Co-Founder and CTO

Dec 2025Present · 5 mos · San Francisco Bay Area · On-site

  • Building super fast computer use agents
Large Language Models (LLM)Spatial Data ManagementDatabasesSearch AlgorithmsLarge-scale Data AnalysisParallel Algorithms+10

Carnegie mellon university

Research Assistant

Feb 2025Dec 2025 · 10 mos · Pittsburgh, Pennsylvania, United States

  • Research Intern (2025) under Dr. Pradeep Ravikumar
  • Working on formalising Machine Unlearning with provable guarantees.
  • Building neurosymbolic frameworks for complex tasks.
Machine UnlearningNeurosymbolic frameworksMachine Learning

University of copenhagen (københavns universitet)

Visiting Researcher

Jun 2024Jul 2024 · 1 mo · Copenhagen · On-site

  • Conducting Research with Dr. Panagiotis Karras on high dimension neighbour search.
  • Authored Panorama: fast-track nearest neigbours
Large Language Models (LLM)Spatial Data ManagementHigh Dimension Neighbour Search

Indian institute of technology, delhi

2 roles

Research Assistant

Feb 2024Dec 2025 · 1 yr 10 mos · Delhi, India · On-site

  • Conducting research with Prof. Sayan Ranu and Prof. Hariprasad Kodamana on Graph Machine Learning, Graph Condensation and High Dimensional Spatiotemporal data.
  • Authored Bonsai: Graph Condensation for Node Classification @ ICLR 2025
Theoretical Computer ScienceData AnalysisGraph Machine Learning

Research Assistant

Dec 2023Feb 2024 · 2 mos · Delhi, India · On-site

  • Conducting Research with Prof. Tarak Karmakar on representing molecules for learning, generative models for molecules, graph neural networks and recently Agentic AI for chemistry.
  • Authored Molmerger: GNNs for diverse solubility prediction @ JCTC, ACS 2024
Artificial Neural NetworksGraph Neural NetworksGenerative Models

Education

Y Combinator

W26

Jan 2026Mar 2026

Indian Institute of Technology, Delhi

Bachelor of Technology - BTech — Computer Science

Jul 2023Dec 2025

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