I'm an AI researcher focused on large language model inference, transformer memory systems, and efficient long-context serving. I enjoy building research that bridges theory and practice, with an emphasis on reproducible experiments, open-source implementations, and production-ready AI systems.
My recent work includes DKV (Differential KV Cache Compression for Scalable Long-Context Inference), an open-source framework for scalable long-context inference that reduces KV-cache memory through differential representations and shared low-rank reconstruction while maintaining generation quality. The project integrates with Hugging Face Transformers and has been submitted to IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI).
Beyond DKV, I'm interested in efficient transformer architectures, AI evaluation, model serving, and systems optimisation. I enjoy exploring ideas from first principles and turning them into practical tools that others can reproduce, benchmark, and build upon.
Research
- DKV – Differential KV Cache Compression for Scalable Long-Context Inference
- Preprint: https://zenodo.org/records/21539110
Find me here
- ResearchGate: https://www.researchgate.net/profile/Om-Chimurkar
- Google Scholar: https://scholar.google.com/citations?user=7NXAM-wAAAAJ
- ORCID: https://orcid.org/0009-0004-0518-4598
- LinkedIn: https://www.linkedin.com/in/om-chimurkar
- Email: omchimurkar45@gmail.com