Professional Experience

Experience delivering production AI systems, reliable platforms, and cloud automation.

3 Roles2021 - PresentCloud, DevOps, AI

Visible Edge

AI, ML and DS Specialist

2025 - Present

Designed and delivered applied AI training programs focused on practical implementation, not just theory.
Built hands-on labs for NLP, Transformers, retrieval workflows, and model-driven application design.
Advised stakeholders on AI adoption strategy, prioritization, and responsible-use guardrails.
Translated complex AI concepts into production-oriented workflows for technical and non-technical teams.
Standardized reusable learning paths that improved consistency of onboarding and AI upskilling.
Delivered 20+ guided labs and workshops with completion rates typically above 85%.

VivSoft

2024 - 2025

Owned day-to-day reliability for backend systems, troubleshooting incidents and driving remediation to closure.
Automated recurring operational tasks with PowerShell and cloud tooling to reduce manual effort and execution risk.
Helped migrate source control and delivery workflows from TFS to GitHub Enterprise Server.
Built and maintained Terraform-managed Azure infrastructure aligned to security and scalability requirements.
Implemented and refined GitHub Actions pipelines to improve delivery consistency across environments.
Supported change-control reviews and release governance for stable production rollouts.
Executed operational health checks and system validation to catch failures before downstream impact.
Managed ServiceNow ticket flow with a focus on response quality, turnaround, and incident follow-through.
Reduced recurring operational effort by ~25–35% through automation and standardized runbooks.
Improved pipeline reliability to ~94–97% successful runs on routine release workflows.

Slalom Consulting

2021 - 2023

Engineered cloud-native AWS infrastructure for a major energy-sector client modernizing legacy systems.
Partnered with delivery teams to design CI/CD pipelines using CircleCI, Terraform, and Docker.
Provisioned secure multi-environment cloud foundations across development, staging, and production.
Automated infrastructure deployment and configuration workflows to speed up releases and reduce drift.
Monitored runtime health and resolved operational issues to maintain service reliability.
Documented architecture decisions, runbooks, and handoff guidance to improve long-term maintainability.
Shared platform engineering standards and best practices through internal knowledge contributions.
Cut environment provisioning time from multi-day setup windows to same-day delivery for standard stacks.
Supported release readiness with typical deployment lead times under 1 business day.

Oct 2025 – Jan 2026 (375 hours)

Coursework included LangChain (Intro and Advanced), Transformers, NLP, CNNs, and Fuzzy Logic.
Completed hands-on AI and machine learning projects aligned to production-oriented workflows.