AI/ML Engineer Β· Building agentic platforms, KV-cache & inference systems, and physics-aware ML
Ahmedabad, Gujarat, India Β |Β π§ rajveer.rathod1301@gmail.com
I'm an AI/ML Engineer working on multi-tenant agentic platforms, internal ML infrastructure, and client-facing ML solutions. My technical interests span LLM fine-tuning, KV-cache optimization, physics-aware machine learning, and production systems engineering.
- π Currently building CaloSR, a calorimeter super-resolution project for GSoC 2026 under ML4Sci / CMS (CERN open-source), using a GatedINR architecture
- β‘ Maintaining VeloxQuant-MLX, a KV-cache quantization library for Apple Silicon with 39+ eviction methods
- π¬ Former HEP-ML researcher at Physical Research Laboratory β hypergraph neural networks for jet classification
- π± Active open-source contributor β 35+ ML repositories including PyTorch and Hugging Face Transformers
- π B.Tech in Computer Engineering, Birla Vishvakarma Mahavidyalaya (GTU), 2023
- π Linux Foundation PyTorch Certified (LFS116)
- βοΈ Write about ML systems & engineering on Medium
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GSoC 2026 Β· ML4Sci / CMS Calorimeter super-resolution using a GatedINR architecture, trained on dual-T4 GPUs. Iterated through v1βv2 with split Fourier embeddings and a deeper occupancy head, backed by full MkDocs documentation. |
KV-Cache Quantization for Apple Silicon A library implementing 39+ KV-cache eviction methods for efficient LLM inference on Apple Silicon, with versioned releases and PyPI analytics tracking. |
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Python VS Code Extension Call graph visualization tool with 6,700+ PyPI downloads and 190+ VS Code installs. |
35+ ML repositories including PyTorch and Hugging Face Transformers, plus regular participation in open-source events like Open Source Summit India and Open Source Day. |