Mustejab Abbas

About Mustejab Abbas

Technical Expert – with 4+ years of experience in Smart City and Safe City surveillance projects, specializing in Integrated Command & Control Center operations, AI-based video analytics, and Video Management Systems (VMS). I have hands-on expertise in managing city-wide video surveillance systems, supporting government and public-sector deployments, and ensuring 24×7 operations with 99%+ system uptime.My core skills include AI video analytics, computer vision, ANPR, facial recognition, crowd density analysis, intrusion detection, perimeter monitoring, and real-time alerting systems integrated with GIS dashboards and Mobile Data Terminals (MDT). I have successfully operated and supported surveillance environments with 300+ IP cameras, multi-vendor VMS platforms, and analytics engines used for law enforcement, traffic monitoring, and public safety operations.I bring strong experience in Linux system administration, network troubleshooting (TCP/IP, LAN/WAN, VLAN, bandwidth planning), GPU-based analytics deployment, and L2/L3 application support. I regularly perform Root Cause Analysis (RCA), incident management, SLA monitoring, and performance optimization to reduce downtime and recurring operational issues. My responsibilities also include POC execution, UAT testing, system integration, and production onboarding of new surveillance use cases.I work closely with government authorities, OEMs, system integrators, and Smart City SPVs, contributing to operations management, technical presales, solution architecture reviews, RFP/RFQ responses, and operational documentation. I am experienced in aligning surveillance platforms with compliance, security, and operational SLAs.An AWS Certified Solutions Architect, I am passionate about building scalable, secure, and AI-enabled surveillance solutions that strengthen Smart City governance, public safety, and real-time decision-making.

Experience

1. Technical Expert-iccc

   Allied Digital

   Apr 2025 — Present · Lucknow, IN

   Own and operate end-to-end surveillance platforms including VMS, AI video analytics engines, GIS visualization layers, and MDT ecosystems, ensuring 24×7 availability with 99%+ system uptime.Manage city-wide surveillance infrastructure covering 300+ IP cameras and multiple AI analytics modules, maintaining 99.2% operational stability across mission-critical public safety systems.Analyze, validate, and act on AI-generated alerts (ANPR, intrusion detection, crowd density, loitering, perimeter breach) to support real-time law enforcement operations, enabling 30% faster incident response.Lead L2/L3 application and platform troubleshooting across VMS, analytics pipelines, and middleware layers using log analysis, service diagnostics, and structured RCA, reducing repeat incidents and improving MTTR.Administer and stabilize Mobile Data Terminal (MDT) infrastructure for policing teams, ensuring reliable live video feeds and alert synchronization, improving field response effectiveness by 35%.Drive POC deployments, system onboarding, and UAT sign-offs for new surveillance use cases, accelerating production readiness and adoption timelines.Coordinate with government authorities, OEMs, and system integrators to align SLAs, compliance mandates, and operational roadmaps, ensuring uninterrupted city operations.Develop and maintain SOPs, escalation matrices, and incident playbooks, improving response consistency and reducing new engineer onboarding time by 40%.Support technical presales and solution validation through architecture walkthroughs, capability demonstrations, and operational feasibility assessments.

Education

• Dr. A.P.J. Abdul Kalam Technical University

  Bachelor's degree, Electronics and Communications Engineering