How to Write Resumes

Outcome-driven resume strategies for AI/ML roles.

How to Write Resumes
Resumes should use keywords from the job description, performance metrics, and simple formatting.

Resume Fundamentals

Your resume is your first impression with potential employers, how you market your value-add to a company. In the AI and tech industry, it needs to showcase both your technical expertise and your ability to solve their complex problems.

Structure and Format

  • Keep it to 1-2 pages maximum
  • Use a clean, professional format
  • Ensure consistent formatting throughout
  • Use a readable font (11-12pt)
  • Include plenty of white space

Essential Sections

Contact Information

  • Full legal name
  • Phone number and personal email address--avoid using controversial email addresses
  • LinkedIn profile URL
  • GitHub profile (for technical roles)
  • Location (city, state). Street address is not required.

Professional Summary

Write a compelling 2-3 sentence summary that highlights:

  • Your professional title, experience level, and specialization
  • Key relevant technical skills and achievements
  • What value you bring to employers--ability to deliver results

Technical Skills

Organize your technical skills by category:

  • Programming Languages: Python, C++, Rust, etc.
  • Frameworks & Libraries: PyTorch, TensorFlow, NumPy, Pandas, SciPy, Theano, OpenNN, etc.
  • Databases: PostgreSQL, MongoDB, Redis, Elastic search, etc.
  • Cloud Platforms: Amazon SageMaker, Google AI Cloud, Microsoft Azure AI, Salesforce Einstein AI Cloud, IBM Watson, Oracle Cloud AI, etc.
  • Tools & Technologies: Docker, Kubernetes, Git, Podman, Ollama, LM Studio, GPT4All, MCP, A2A protocol, AP2 agent protocol, etc.

Experience Section

For each role, include:

  • Job title, company name, and dates
  • 3-5 bullet points describing achievements
  • Use action verbs and quantify results
  • Focus on impact, not just responsibilities

Writing Effective Bullet Points

Use the CAR Method

Structure your achievements using Context, Action, Result:

  • Context: What was the situation or challenge?
  • Action: What did you do to address it?
  • Result: What was the outcome or impact?

Examples of Strong Bullet Points with Metrics

  • Developed machine learning model that improved prediction accuracy by 25%, resulting in $2M annual cost savings
  • Led cross-functional team of 8 engineers to migrate legacy system to microservices, reducing deployment time by 60%
  • Implemented automated testing pipeline that decreased bug reports by 40% and improved release cycle time by 2 weeks

AI and Tech-Specific Tips

Showcase Your Projects--include a projects section highlighting:

  • Personal or open-source projects
  • Technologies used and problems solved
  • Links to GitHub repositories or live demos
  • Measurable outcomes or impact

Education and Certifications

  • Include relevant degrees and coursework
  • List AI/ML certifications (AWS, Google, etc.)
  • Mention relevant online courses or bootcamps
  • Include GPA if recent graduate and above 3.5

Common Mistakes to Avoid

  • Using generic job descriptions instead of specific achievements
  • Including outdated or irrelevant technologies
  • Making spelling or grammar errors
  • Using overly technical jargon without context
  • Forgetting to tailor your resume to each job application

Final Tips

  • Use keywords from the job description extensively
  • Proofread multiple times and have others review
  • Save as PDF to preserve formatting
  • Keep your resume updated with recent accomplishments
  • Consider using ATS-friendly formats for online applications--avoid using multiple columns and images, which are often not searchable/indexed. Simpler formatting is better.
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