• Leading the architecture and delivery of an large-scale Agentic AI Observability Chatbot for huge Walmart network infrastructure. This system utilizes the LangGraph, ReAct and advanced RAG to translate natural language to queries or API/MCP calls. This multi-source data retrieval tool reducing MTTD and MTTR for network incidents.

• Designed and developed an anomaly detection framework using time series deep learning prediction models as a monitoring tool for data center network devices.

• Designed and developed an automation framework based on text mining to extract required data elements and feed them to other parts of network infrastructure.

• Designed and implemented a configuration framework for all the Walmart network devices around the world.

Technologies

Python, Restful API, PostgreSQL, Elastic search, Spark pipelines, Kafka, Rabbitmq, CI/CD pipeline

GCP, BigTable, Grafana

Conducted research and designed a Network Management System (NMS) for battery packs (Battery Management System).

Implemented an SNMP-based NMS prototype for battery packs.

Technologies: C++, Python, NMS, SNMP

Signal analyzer software: I developed a C#-based application to analyze and represent different types of signals graphically.

Admission control Mechanism software: I designed and developed an admission control mechanism for cognitive radio sensor networks based on C++ in Linux-based network simulator (NS2).

Material Selection and Analysis software: I developed this software to determine, represent and classify the petrochemical streams and related material of different petrochemical companies by C#.