KABIR MURJANI

About

Kabir Murjani

[GitHub][LinkedIn][HF][Scholar][CV]

kabirmurjani@gmail.com

I am a final year Electrical Engineering student at Nirma University. I architect big neural nets and exact solvers that run fast.

I primarily work on reinforcement learning on combinatorial spaces and language models. I'm currently working on Deep RL solvers for NP-hard combinatorial problems at Indian Institute of Management Bangalore (IIMB) advised by Prof. Abhay Sobhanan, and previously engineered and optimized sequential architectures with SIT-NVIDIA AI Centre (SNAIC).

Mostly I like to work on deep learning, numerics, and systems. Among other things, I play chess and tennis, and compose algorithmic music. If you're building in adjacent spaces, feel free to reach out.

Interests: Deep Reinforcement Learning, Neural Combinatorial Optimization, Language Models, Decision Sciences.

Positions & Education

Past:

[1] Research Intern, Indian Institute of Management Bangalore (advised by Prof. Abhay Sobhanan)

[2] Research Collaborator, Singapore Institute of Technology – NVIDIA AI Centre (advised by Dr. Timothy Liu and Dr. Akshita Abrol)

[3] Undergraduate Researcher, Nirma University, Ahmedabad

[4] Machine Learning Researcher, Xtin Capital

Education:

[1] Bachelor of Technology, Electrical Engineering (Minors in Management), Nirma University (Expected 2027)

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Recent Updates

2026

19.08 Released the TTP-D benchmark suite: 219 instances, 60 trained policies, and the full solver result tables, on Hugging Face.
18.08 Kabir Murjani, Abhay Sobhanan. Drive, Pack, Fly: The Travelling Thief Problem with Drone. Under review at European Journal of Operational Research (EJOR).
12.05 Kabir Murjani. AlphaRoute: LLMs as Semantic Optimizers for Multi-Objective Routing. Accepted (oral) at IEEE LAD 2026, Stanford University.
07.05 Volunteering at ACL 2026 in San Diego as Session Chair for the Main and Findings track.
14.04 Selected as recipient of the ACM SIGMOD/PODS 2026 India Fellowship.
30.03 Kabir Murjani. Zero-Copy Semantic Contagion: An In-Memory Streaming Architecture for Evolving Attention Graphs. Accepted (oral) at ACM SIGMOD FinDS, 2026.
16.03 Started a research internship on deep reinforcement learning for neural combinatorial optimization at the Indian Institute of Management Bangalore, advised by Prof. Abhay Sobhanan.
20.02 Elected General Secretary of the IEEE Computer Society chapter at Nirma University.
12.02 Kabir Murjani, Parth Vyas. LURE: Bayesian Signaling Game in Multi-Step Agent Interactions. Accepted (oral) at MathAI 2026, Sochi, Russia.
05.02 Released the ChessNano weights — a 51.9M-parameter SAN transformer in a 58.4 MB INT8 artifact — on Hugging Face.
01.05 The Variance of a Judge: Zero-Variance Rewards by Deterministic Regression submitted to ACL Rolling Review.

2025

12.11 Collaborating with Dr. Timothy Liu at the NVIDIA AI Center at Singapore Institute of Technology on quantized edge inference and adaptive routing architectures.
05.09 Machine Learning Researcher at Xtin Capital, building a high-frequency news ingestion engine and an adversarial backtesting environment.
15.06 Lead Aniate Labs to explore open source applied AI tooling at the intersection of language models and combinatorial solvers.
21.04 Presented early results on DEED manifold compression at an internal seminar at Nirma University's EE department.
07.02 Released the CRAFT-5 dataset: 2,384 RLAIF examples for preference tuning, on Hugging Face.

2024

15.05 Joined Team Dyaus at Nirma University, building a CanSat model for the Türksat Satellite Competition 2024.
22.03 Finished 3rd place at the Indian Institute of Technology Kanpur Chess Masters Premier League 2.0 among 60+ universities.