B Mokesh

Infrastructure Engineer with hands-on experience across VMware virtualization, Windows Server administration, enterprise networking (TCP/IP, DNS, DHCP, Cisco IOS routing/switching, VLANs, firewalls), SAN & backup infrastructure (Fibre Channel, iSCSI, storage arrays, Commvault), multi-cloud platforms (AWS, Azure, GCP), and Infrastructure-as-Code/DevOps automation (Terraform, Ansible, Python, CI/CD). CompTIA Security+ certified, with a proven track record performing root-cause fault isolation, capacity planning, and incident escalation across a 200+ node enterprise-scale, multi-tenant compute environment operating at high availability/SLA-driven uptime targets.

AI Infrastructure Engineer - Black Box

(2026-05)

Maintain confidentiality, integrity, and availability (CIA triad) of a 200+ node enterprise-scale compute environment, performing root-cause fault isolation across compute, network, and power/cooling subsystems to sustain SLA-level uptime.

• Follow documented change-management and operational procedures for infrastructure modifications, escalating incidents and security-relevant events per established protocol and severity classification.
• Build and monitor health-check dashboards (utilization, temperature, power draw) using system logs and telemetry, responding to threshold-based alerts in real time to minimize mean time to resolution (MTTR).
• Partner with engineering and operations teams on infrastructure change management, capacity planning, and phased rollout of hardware/software upgrades.

Data Engineer - Community Dreams Foundation

(2024-05 - 2026-04)

• Architected and automated Python/SQL ETL pipelines deployed across AWS, Azure, and GCP to ingest, clean, and transform multi-source data, applying idempotent, fault-tolerant design patterns to reduce manual processing effort.
• Designed and optimized relational database schemas, indexes, and queries (PostgreSQL/MySQL) for efficient, scalable storage and retrieval.
• Implemented CI/CD pipelines (version-controlled, automated testing/deployment) to improve pipeline release reliability and reduce deployment errors.
• Translated ambiguous operational requirements into documented, maintainable engineering solutions, working cross-functionally with non-technical stakeholders.

Data Analyst - Accenture in India

(2022-05 - 2023-07)

• Analyzed large datasets using SQL and Python to identify trends and support business decision-making.
• Built dashboards and reports in Excel/Tableau to communicate insights and key metrics to stakeholders.

Master of Science - Data Science - University of Massachusetts Dartmouth (2025-08)

Bachelor of Technology - Computer Science and Engineering - SRM Institute of Science and Technology (2023-05)