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Damanpreet Singh

Building intelligent systems at the intersection of AI, cloud architecture, and full-stack development.

Azure· Claude Code· Gemini CLI· Docker· Kubernetes· Flutter· Firebase· RAG Pipelines· Linux· LLM Integration· CI/CD· REST APIs· Azure· Claude Code· Gemini CLI· Docker· Kubernetes· Flutter· Firebase· RAG Pipelines· Linux· LLM Integration· CI/CD· REST APIs·
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About

Multi-disciplinary technologist with 5–8 years of experience spanning systems architecture, infrastructure management, cross-platform software development, and team leadership.

Deep expertise in leveraging AI and large language models to drive automation and innovation — including hands-on production use of Claude Code, Gemini CLI, RAG pipelines, and LLM integration.

Azure-certified cloud architect who designs, builds, and maintains the full technology stack from infrastructure through application deployment. Proven ability to operate as a one-person technical department while leading and mentoring support teams.

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Roles Operated
Architect, Admin, Developer, Web Dev, Team Lead
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Years Experience
Systems, AI, Development
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Certifications
Azure, Fortinet, Cybersecurity
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Experience

System Administrator
DIT — Hamilton, Ontario
March 2019 – Present

Operating across five distinct roles: systems architect, system administrator, Flutter developer, front-end web developer, and IT team lead. Responsible for the full technology lifecycle from strategic architecture decisions through hands-on implementation and team management.

AI & LLM Integration

  • Leveraged Claude Code as a core development tool for accelerated coding, debugging, code review, and AI-assisted architecture planning
  • Utilized Gemini CLI for rapid prototyping, multi-modal analysis, and integrating Google's AI capabilities into internal workflows
  • Designed and implemented RAG database pipelines, connecting LLM models to internal knowledge bases for context-aware AI responses
  • Integrated multiple LLM models into production applications, evaluating performance, cost, and accuracy trade-offs
  • Built AI-powered automation tooling that reduced manual processes and improved team efficiency

Systems Architecture & Infrastructure

  • Designed application deployment architecture including CI/CD pipelines, containerization strategies, and cloud infrastructure on Azure and AWS
  • Managed full server infrastructure — networking, security hardening, patching, backups, disaster recovery, and uptime monitoring
  • Served as the senior technical escalation point for all infrastructure issues beyond tier 1 support
  • Made strategic decisions on cloud vs on-prem, tooling selection, and environment architecture

Software Development

  • Built and shipped cross-platform applications using Flutter/Dart targeting Android, iOS, and web from a single codebase
  • Owned the full mobile development lifecycle — UI/UX, API integration, state management, testing, and publishing
  • Designed and maintained company websites with responsive design, performance, and conversion optimization
  • Integrated Firebase for authentication, real-time databases, and cloud functions

Team Leadership

  • Managed and mentored the tier 1 IT support team, overseeing performance, workload distribution, and professional development
  • Established support processes and escalation paths that improved response times and end-user satisfaction
  • Served as the bridge between technical execution and business needs, translating complex requirements into actionable plans
“
I believe the best technology is invisible — it simply works. My approach combines deep systems thinking with modern AI to build infrastructure and applications that are reliable, intelligent, and built to scale.
Damanpreet Singh
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AI & LLM Toolchain

Expert

Claude Code

Expert-level daily use for AI-assisted development, code generation, architecture planning, debugging, and documentation. Integrated into all development workflows as a core productivity multiplier.

Code Generation Architecture Debugging Documentation
Expert

Gemini CLI

Expert-level use for rapid prototyping, multi-modal processing, and leveraging Google's AI ecosystem for analysis, content generation, and workflow automation.

Prototyping Multi-Modal Automation
Advanced

RAG Pipelines

Designed and built retrieval-augmented generation systems connecting LLMs to structured and unstructured internal data sources using vector databases and embedding models for context-aware AI responses.

Vector DBs Embeddings Knowledge Bases
Advanced

LLM Integration

Hands-on experience evaluating, integrating, and deploying multiple large language models in production environments. Skilled in prompt engineering, model selection, cost optimization, and building AI-powered features.

Prompt Engineering Model Selection Production Deploy
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Core Competencies

AI & LLM Engineering

Claude Code Gemini CLI RAG Pipelines LLM Integration Prompt Engineering AI Automation Vector Databases Embedding Models AI Security Reviews AI App Lifecycles

Architecture & Infrastructure

Systems Architecture CI/CD Pipelines Azure AWS Docker / Kubernetes Linux Windows Server Networking & Security Disaster Recovery

Software Development

Flutter / Dart HTML / CSS / JS Firebase REST APIs Git / GitHub Cross-Platform Mobile Responsive Design App Publishing

Leadership & Operations

IT Team Management Technical Mentoring Vendor Management Stakeholder Comms Project Prioritization
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Certifications & Education

Azure Administrator Associate

Microsoft · Issued Jun 2025 · Expires Jun 2026
Verified

FortiClient EMS 7.2 Administrator

Fortinet · Issued Sep 2024
Verified

Certified Associate Cybersecurity

Fortinet · Issued Oct 2023
Verified

Certified Fundamentals Cybersecurity

Fortinet · Issued Aug 2023
Verified

Computer Science / Information Technology

Mohawk College
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Get In Touch

Interested in AI integration, systems architecture, or building something together? Let's connect.