Abstract: AI Researcher and Builder at Lossfunk, founded: HyperSym
Hi, I am Siddhant Saxena (@Sidgraph), currently a Pre-Doctoral Researcher/ Builder in Agentic systems, Applied LLMs, Reasoning Models, Agentic Graph Systems, Geometric Deep Learning (GDL), RL, and Large Parametric Models (all modalities-mainly geometry).
I am also affiliated with VISTA Lab, Indian Institute of Sciences, Banglore (IISC-BLR), working on Learning on large graphs, Noisy-data distributional learning, core-problems in GraphML.
I was an Applied Scientist at The Agentic, working on Function Calling, Foundational Models (Geometry), LLM Inference, and Chip designs.
Previously I was an Applied Scientist at Snapdeal, Leading large-scale industrial projects like: Recommendation Engine, RTO Modelling.
I recently graduated as a Pre-Doctoral researcher at LCS2 Lab in the field of Geometric Deep Learning, advised by Dr. Tanmoy Charkaborty and Dr. Subhabrata Dutta from India.
{Category Theory, Differential Geometry, Algebraic Topology, Modern Algebra, Algebraic Combinatorics}
visit Activities for Events and Learnings
I am *not* applying to Ph.D. admissions this fall [2024], I will be working as an associate researcher [pre-doc] at Lab. Currently working on Riemannian Manifold Learning, Geometric DL, and Category Theory related projects.
Coming from a Third World Country, I have to do Freelance and Consulting as well. I enjoy working in a wide range of projects, "All things in AI"
Recent
New Paper: DPHGNN: A Dual Perspective Hypergraph Neural Networks [KDD'24]
Working on Representation Learning on Higher Geometrical Structures [META AI Research Funded]
Working on Few-Shot Graph Incremental Learning in Graphs [META AI Research Funded]
Learning Category Theory and Functional Analysis on Riemannian Manifolds