Pruning Convolution Neural Networks Using Filter Clustering
"Pruning Convolution Neural Networks Using Filter Clustering Based on Normalized Cross-Correlation Similarity." Journal of Information and Telecommunication.
SAADMAN RAFAT - AI SYSTEMS ENGINEER
AI Systems Engineer focused on building the infrastructure for the Agentic web. I specialize in productionizing LLMs, architecting MCP servers, and optimizing modern Python ecosystems.
From provisioning high-performance VMs to implementing real-time AI grounding with Google Gemini, I build the plumbing that makes intelligent applications scalable and secure.
EXPERTISE
AGENTIC AI (MCP)
GOOGLE GEMINI
SYSTEM ARCHITECTURE
MODERN PYTHON (UV)
VECTOR EMBEDDINGS
DEVOPS
DEEP LEARNING
RESEARCH PUBLICATIONS
Optimizing Deep Learning Models for Resource-Constrained Environments
"Optimizing Deep Learning Models for Resource‐Constrained Environments With Cluster‐Quantized Knowledge Distillation." Engineering Reports.