In minutes, create a tailored, ATS-friendly resume proven to land 6X more interviews.
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This resume format is meticulously designed to optimize performance in Applicant Tracking Systems (ATS), ensuring that your application is noticed by hiring managers and recruiters. The inclusion of specific keywords related to AI engineering such as 'natural language processing' and 'machine learning model deployment' helps the ATS recognize your expertise immediately. Additionally, structuring the professional summary and experience sections to highlight achievements with quantifiable results enhances your profile's relevance in search queries. This template also emphasizes industry-specific skills like conversational AI development, which is crucial for standing out among competitors in the tech sector.
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Expert guidelines and best practices for each section of your resume.
First Name Last Name City, State, Zip Code Phone Number | Email Address LinkedIn Profile URL | Portfolio URL (Optional)
Your contact information is the first section recruiters see. Keep it concise and professional. Ensure your email address is appropriate (e.g., [email protected]). Include your LinkedIn profile for a comprehensive view of your professional journey. A portfolio or personal website is recommended for creative, technical, or design roles.
Do not include your full physical address (street number/name) for privacy reasons. Avoid including personal details like marital status, age, photo, or social security number unless specifically required in your country. Don't use unprofessional email addresses.
See clear examples of how to format contact details effectively.
John Doe 1234 Random St, Apt 56 New York, NY 10001 [email protected] github.com/aliciacode Single, 28 years old
John Doe New York, NY (555) 123-4567 | [email protected] linkedin.com/in/johndoe | github.com/johndoe | johndoe.dev
Professional Title
Result-oriented [Role Name] with [Number] years of experience in [Key Skills/Industries]. Proven track record of [Major Achievement]. Skilled in [Key Technologies/Skills]. Committed to delivering [Specific Value] for [Target Industry/Company type].
A professional summary is your elevator pitch. It should be 3-5 sentences long, summarizing your experience, key skills, and major achievements. Tailor it to the job description by using relevant keywords. Focus on what makes you unique and the value you bring to potential employers.
Avoid generic objectives like 'Looking for a challenging role to grow my skills.' Recruiters want to know what value you bring to them, not what you want from them. Don't use first-person pronouns (I, me, my). Keep it concise and impactful.
Compare a weak objective with a strong professional summary.
Objective: I am a hard-working individual looking for a AI Engineer position where I can learn new things and advance my career.
Senior AI Engineer with 6+ years of experience in natural language processing (NLP) and machine learning model deployment. Reduced response time by 30% through scalable microservices architecture, increasing user engagement significantly. Expert in Python, TensorFlow, AWS Sagemaker, and cloud-based solutions.
Technical Skills
Soft Skills
Group your skills logically (e.g., Languages, Frameworks, Tools). Focus on hard skills relevant to the job. List skills in order of proficiency or relevance. Soft skills are better demonstrated through bullet points in your experience section rather than a bare list.
Do not list skills you are not comfortable using in an interview. Avoid using progress bars or percentages to rate your skills (e.g., "Java: 80%"). Do not include outdated technologies unless specifically required.
Mentioned outdated tools like MATLAB and deprecated libraries such as scikit-learn v0.22, which are several versions behind the current version (v1.3.1).
Listed up-to-date languages like Python 3.x, frameworks including TensorFlow 2.11 and PyTorch 2.0, and tools such as AWS Sagemaker and Jupyter Notebooks.
Used percentages to rate skills: 'Python: 95%', 'Java: 80%'
Clearly listed skill names without ratings: Python, Java
Included soft skills in a separate list instead of integrating them into the experience section.
Described leadership and problem-solving abilities through specific achievements in work history.
Job Title | Company Name | Location Month Year – Month Year
This is the core of your resume. Use reverse-chronological order (most recent first). Start each bullet with a strong action verb. Focus on achievements and impact, not just duties. Use numbers to quantify your impact (dollars, percentages, time saved, users affected). Show progression and increasing responsibility.
Avoid passive language like 'Responsible for...' or 'Tasked with...'. Don't list every single daily task; focus on significant contributions and measurable outcomes. Avoid jargon that recruiters outside your field won't understand.
Practical example showing do's and don'ts for experiences
Implemented machine learning algorithms for company projects.
Developed and deployed predictive maintenance models, reducing equipment downtime by 35%.
Responsible for creating prototypes of AI systems.
Designed early-stage AI technologies that laid the foundation for enterprise-scale projects.
Degree Name | University Name | Location Month Year – Month Year
List your highest degree first. If you have significant work experience, keep the education section brief. Include your GPA only if it is above 3.5 or if you are a recent graduate. Highlight relevant coursework, academic projects, honors, or leadership roles.
Do not include high school details if you have a college degree. Avoid listing every single course you took; select only the most relevant ones. Don't include graduation dates from decades ago if age discrimination is a concern in your field.
Practical example showing do's and don'ts for educations
Bachelor of Science in Computer Engineering | University of Tech, New York | May 2015 - December 2018
Master’s in Computer Science with a specialization in Machine Learning | Stanford University | September 2023 – May 2025
Project Name | Technologies Used
Projects are excellent for demonstrating practical skills, especially if you lack work experience or are changing careers. Include a link to the GitHub repo or live demo if possible. Focus on projects that show problem-solving skills and relevant technologies for the target role.
Don't include trivial tutorials unless you significantly expanded on them. Avoid projects that are outdated, incomplete, or irrelevant to the role you're applying for. Don't just list technologies—explain what you built and why it matters.
Practical example showing do's and don'ts for projects
Created a basic chatbot using Python and Dialogflow.
Built an advanced conversational AI platform with natural language understanding (NLU) and sentiment analysis.
Common questions about this role and how to best present it on your resume.
Skills like machine learning, deep learning, neural networks, and proficiency in Python or similar languages.
Highlight relevant coursework, certifications, projects, and self-taught knowledge to showcase your AI expertise.
Include successful project implementations, innovative solutions, and positive impact on business metrics or user experience.
Research experience can be very valuable as it demonstrates your ability to stay updated with the latest trends and technologies in AI.
In minutes, create a tailored, ATS-friendly resume proven to land 6X more interviews.
3 out of 4 resumes never reach a human eye. Our keyword optimization increases your pass rate by up to 80%, ensuring recruiters actually see your potential.