Adnan Saliyawala is a software engineer based in Godhra, Gujarat, India, building backend systems with Spring Boot and FastAPI and applying machine learning (Isolation Forest, Random Forest, KMeans) for anomaly detection in network security contexts.
Led end-to-end design and development of a NetFlow analytics platform processing 1M+ flow records per minute, with a dual-database architecture (ClickHouse + SQLite) for sub-second analytics across 50M+ records a day, enterprise auth (SSO, LDAP, RBAC) for 1,000+ multi-tenant users, and an automated ML anomaly-detection pipeline (92%+ accuracy). Packaged as a one-click OVA appliance for VirtualBox and VMware.
Leading this network performance monitoring (NPM) prototype: polling interface stats, LLDP neighbors, ARP tables, and routing protocols (BGP/OSPF) across network devices, with a FastAPI/SQLAlchemy backend and a React + TypeScript frontend.
Built an EDR agent collecting DNS, process, filesystem, USB, Windows Event Log and system-info telemetry, then ported it from Windows to Linux (Ubuntu 18.04–24.04) while preserving ClickHouse schema compatibility, with cursor-based infinite scroll for million-row telemetry views.
Personal project with 20+ functional modules, a Java/Spring Boot backend and Angular frontend, 25+ REST endpoints, JWT auth, and latency reduced from 800ms to 200ms through database optimization and load balancing.
Java, Python, TypeScript, JavaScript, SQL, Spring Boot, FastAPI, Angular, React, Tailwind CSS, MySQL, ClickHouse, Firebase, SQLite, Docker, Git, NetFlow, SNMP network monitoring, network performance monitoring, Isolation Forest, Random Forest, KMeans.
Software Engineer — Product Development, FlowZynth Project Lead, NETZIYA Pvt Ltd, Godhra (Jul 2025–Present). Software Development Intern, AccioJob Pvt Ltd, Vadodara (Oct 2024–Apr 2025). Trainee Android Developer, Shree Drashti Infotech LLP (Jan 2022–Apr 2022).
M.C.A. — Cloud Computing, Parul University (2023–2025). B.C.A., Navrachana University, Vadodara (2019–2022).