Ai Career Planner.
AI-guided career planning

AI Career Planner

Discover personalized engineering paths & structured growth maps — tailored to your skills, interests, and the next 5 years of your life.

Plan my career
Step 01 · Profile

Tell us about you

Drop in your details — we'll match you to a personalized engineering path in seconds.

We never share your data. Always private. Always yours.

Your Career Journey Starts Here

Complete the form above and let AI create a personalized career roadmap just for you.

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1. Tell us about yourself

Share your interests, strengths, weaknesses and current class.

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2. AI Analysis

Our AI analyzes your profile and understands your potential.

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3. Career Matches

Receive your top career recommendations with match scores.

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4. Compare Careers

Compare the two strongest career options side by side.

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5. Success Roadmap

Follow a personalized learning and career roadmap.

Step 02 · Paths

Your top 3 engineering paths

Hand-picked based on your skills and interests. Tap a card to dive deeper.

96% match

AI / ML Engineer

Build production-grade ML systems, work on LLM tooling, and ship models that drive product outcomes.

  • Python
  • PyTorch
  • MLOps
  • LLMs
$182kavg salary
+38%5yr growth
Highdemand
Recommended
92% match

Platform / Infra Engineer

Design the rails: distributed systems, developer experience, internal tools and reliability at scale.

  • Go
  • Kubernetes
  • gRPC
  • Observability
$168kavg salary
+24%5yr growth
Highdemand
88% match

Product Engineer

Live at the intersection of design, code and craft. Ship delightful end-to-end product experiences.

  • React
  • TypeScript
  • Figma
  • Animation
$154kavg salary
+18%5yr growth
Meddemand
Step 03 · Roadmap

Your 5-year growth map

A phase-by-phase blueprint for the AI/ML Engineer track.

  1. Months 0 – 3

    Foundation Sprint

    Lock the basics. Linear algebra, probability, Python mastery. Ship 2 small ML projects on GitHub.

    • Andrew Ng ML Specialisation
    • Build a recommender system
    • Daily 30-min Leetcode warmups
  2. Months 3 – 9

    Deep Dive: Modern ML

    PyTorch, transformers, fine-tuning. Build 1 production-grade LLM-powered side project.

    • FastAI + Karpathy zero-to-hero
    • Fine-tune an open-source LLM
    • Write 3 blog posts on findings
  3. Year 1 – 2

    First ML Role

    Land an ML/AI Engineer role. Focus on shipping, not perfection. Build internal trust.

    • Apply to 50+ targeted teams
    • Own at least 1 model in production
    • Start mentoring interns
  4. Year 2 – 4

    Senior & Specialisation

    Pick a niche: LLM infra, agents, or retrieval. Become the go-to person on your team.

    • Lead a cross-team ML project
    • Publish or speak at a conference
    • Build a personal brand (newsletter)
  5. Year 4 – 5

    Lead the Team

    Move into tech-lead or staff. Influence roadmaps. Ship the developer tool you've been dreaming of.

    • Hire your first 2 reports
    • Launch the tool publicly
    • Reach 10k+ active users
Focus Track A

Career Path 1

Advantages / Pros 		Focus Track B

Career Path 2

Advantages / Pros
Ready when you are

Start building the next 5 years today.

Free to start. No credit card. Roadmaps in under 60 seconds.