🎯 Career Development Plan

Roadmap: Full-Stack Developer → AI Engineering Tech Lead

A focused 5-year strategy aligned with my goal to lead teams and build enterprise-grade AI solutions.

🌟 Career Vision

To become a Tech Lead specializing in AI-powered software solutions, combining advanced full-stack development with intelligent automation. I aim to deliver impactful digital products, guide engineering teams, and mentor future innovators while pushing boundaries in applied AI.

🔑 Core Values

Excellence
Master modern technologies and architecture
Innovation
Drive AI-enhanced product capabilities
Leadership
Support and uplift engineering teams

🚀 Career Timeline

🔹 Phase 1 — 2025: Establish Strong Engineering Foundation
Role Target: Full-Stack Developer / Software Engineer
  • Next.js, React, TypeScript, Node.js
  • .NET Core + Azure Cloud
  • API design & secure architectures
  • MCP-enabled AI automation features
Goals:
  • Secure a sponsored Software/AI Developer role in Australia
  • Contribute to 5+ production features or automation workflows
  • Present AI portfolio and Digital Twin to employers
🔹 Phase 2 — 2026–2027: Transition toward AI Engineering
Role Target: AI/ML Engineer / Intelligent Automation Developer
  • RAG architecture & Vector DBs
  • Model integration and deployment
  • AI agents for enterprise workflows
  • Azure & cloud automation
Goals:
  • Lead small AI-powered feature deliveries
  • Mentor junior engineers
  • Publish technical content (articles/presentations)
🔹 Phase 3 — 2028–2029: Leadership & Architecture
Role Target: Senior Software Engineer → Tech Lead
  • System design & scalable architecture
  • Cross-functional leadership
  • AI-driven digital transformation
  • Code quality + process improvements
Goals:
  • Lead end-to-end AI solution implementations
  • Drive engineering best practices
  • Represent engineering team in strategy discussions

🔧 Key Skill Development Plan

Technical Mastery
  • Full-stack development: Next.js, React, TypeScript, Node.js
  • .NET Core & Azure Cloud engineering
  • API design, security, and integration
  • AI/ML: RAG architecture, Vector DBs, model deployment
  • Automation: MCP-enabled workflows, agent reliability
  • DevOps: Azure DevOps, CI/CD pipelines
  • Database optimization & performance tuning
  • Distributed systems & microservices
Leadership Growth
  • Architecture reviews & technical decision-making
  • Mentoring and upskilling teammates
  • Stakeholder communication & conflict resolution
  • Agile project ownership and delivery excellence
  • Cross-functional team leadership
  • Technical content creation & presentations

🏆 Milestones

YearTarget Achievement
2025First developer role + AI product contributions
2026Ownership of AI automation components
2027Become a key technical decision-maker
2028Lead a development team → Tech Lead level
2029Recognized expert in enterprise AI innovation

📌 Current Action Plan — Next 30 Days

Job Search Execution
  • Apply to 10+ roles weekly
  • Tailor resume for sponsorship-friendly job postings
  • Strengthen GitHub with clean case-study documentation
Networking Strategy
  • Connect with 5+ recruiters/engineers daily on LinkedIn
  • Attend local Melbourne tech meetups (Flutter, React, AI, Azure)
  • Share AI demos regularly to increase visibility
Skills Building
  • Finalize shammi.dev portfolio & deploy to Vercel
  • Improve AI agent reliability and evaluation metrics
  • Continue Azure certification path (AZ-104 → AZ-400 → AI-102 next)

💡 Driving Mindset

“Lead through innovation. Build through learning. Grow through impact.”