Airbnb resume examples (2026)

Airbnb resume examples, and what they do well

1. 1. Software Engineer new grad resume that passed Airbnb, Adobe and 8 more

   Real resumePassed the screen atAirbnbAdobeAmazonApple+6 more

   Master's, Seattle University, 2025

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   What this resume does well

   • Education firstIt opens with education, the first thing a screener checks on a student resume, as 81% of the resumes here do.
   • A projects sectionIt gives projects their own section, alongside 2 internships. 78% of the resumes here have one.
   • 2 internshipsIt lists 2 internships among 3 roles, most recent first. 70% of the resumes here list at least one.
   • Specific skillsIt names 27 languages and tools, including Node.js, HTML and CSS.

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   Education

   Seattle University 2023 – 2025

   Masters in Computer Science

   • Dean’s Honor roll
   • Courses: Fundamentals of Software Engineering, Computer Networks, AI, Security in Computing, Software as a Service, Software Architecture and Design

   Professional Experience

   Headstarter AI

   Software Engineering Fellow Jul 2024 – Sep 2024

   • Collaborated on five AI and full-stack development projects, including an AI-based flashcards app, Pantry Tracker, and a Customer Support app, successfully deploying them to Vercel using CI/CD practices.
   • Focused on key milestones, including acquiring 1,000 users on the waitlist, creating 1,000 user accounts, and generating $ 1,000 in revenue.

   Fluentgrid Pvt Ltd

   Software Engineering Intern Dec 2021 – May 2022

   • Designed and developed web-based applications with a focus on scalability, leveraging Kubernetes for container orchestration.
   • Worked with network protocols such as TCP/IP and UDP during backend development to ensure efficient data transmission.
   • Optimized system performance by implementing network protocols (TCP/IP, UDP) and Kubernetes for container orchestration, resulting in a 20% improvement in application scalability and reduced server response times.

   SRM University

   Research Intern Jun 2021 – Dec 2021

   • Developed a novel Prediction Error Histogram Shifting-based RDH scheme to improve data security for medical image transmission, addressing challenges of low embedding rates and overflow/underflow in conventional methods.
   • Achieved superior results in embedding rates and PSNR by introducing a checkerboard-based pixel classification and enhanced overflow handling technique.
   • Successfully validated the scheme on medical and natural images, leading to a publication in IEEE for its innovative contribution to information security.

   Projects

   Rate My Professor

   • Developed an AI-powered application that allows users to query information about professors based on communication skills, teaching effectiveness, and subject expertise, resulting in a 60% increase in user engagement.
   • Utilized Retrieval-Augmented Generation (RAG) with Pinecone for efficient data search and retrieval, and integrated OpenAI to provide real-time responses, achieving a 95% accuracy in professor ratings.
   • Implemented a scalable, user-friendly interface using Next.js, reducing onboarding time by 30% and enhancing the overall user experience.

   Our Smart Medico

   • Developed a platform that enables quick access to patient medical histories via QR codes, leveraging multithreading to handle multiple concurrent data access requests.
   • Built the frontend using HTML, CSS, JavaScript, and React, ensuring a responsive and user-friendly interface for seamless interactions.
   • Leveraged Flask for backend development, integrated AI diagnostic models, and optimized API design for efficient data storage and retrieval.

   Excision: Pok´ emon Trading Card Game Shop

   • Developed a dynamic e-commerce platform with interactive features using C#, HTML, CSS, and JavaScript, ensuring high scalability and performance.
   • Collaborated in an agile development environment, ensuring continuous integration, iterative development, and quick feature delivery resulting in 99.58% code coverage and optimal test results.
   • Optimized the platform’s multithreading capabilities to handle concurrent user requests efficiently.

   Skills

   HTML, CSS, JavaScript, Java, C#, Python, C++, ASP.NET, React, Node.js, Next.Js, Vue.js, AWS, SQL, NoSQL, Linux/Unix, Multithreading

   API Design, Unit Testing, Git, CI/CD, Kubernetes, Vercel, Firebase, Data Structures, Algorithms, Object-Oriented Programming.

   Achievements and Academic Experience

   • Won Best Paper Award and cash prize at the 4th ISEA Virtual International Conference on Security and Privacy 2021 for presenting a paper titled “A Novel Prediction Error Histogram Shifting-based Reversible Data Hiding Scheme for Medical Image Transmission.”
   • Ranked Top 3 in a national hackathon competing against 65 teams, demonstrating strong problem-solving and technical skills.
   • Teaching Assistant for Data-Driven Programming at Seattle University, leading lab sessions, guiding students in Python programming and assisting in course material preparation.
   • Actively contribute to open-source projects, resolving issues and enhancing project functionalities.
   • Submitted a patent application titled ”A Reversible Data Hiding System and Method for Image Transmission” (Application Number:

   ).

2. 2. Software Engineer new grad resume that passed Airbnb, Amazon and 8 more

   Real resumePassed the screen atAirbnbAmazonAppleDatabricks+6 more

   Master's in Information Systems, Syracuse University, 2025

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   What this resume does well

   • Numbers in most bullet points15 of its 16 bullet points carry a figure, such as a percentage, a count or an amount. On a typical resume here, 39% do.
   • Education firstIt opens with education, the first thing a screener checks on a student resume, as 81% of the resumes here do.
   • A projects sectionIt gives projects their own section, alongside 1 internship. 78% of the resumes here have one.
   • 1 internshipIt lists 1 internship among 4 roles, most recent first. 70% of the resumes here list at least one.

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   EDUCATION

   Master’s in Information Systems August 2023 - May 2025

   Syracuse University, Syracuse, New York

   Bachelor’s in Electronics Engineering August 2019 - May 2023

   Mumbai University, Navi Mumbai, Maharashtra

   TECHNICAL SKILLS

   Programming Languages : Python, R, SQL

   Data Analysis & Visualization : Pandas, NumPy, Matplotlib, Power BI, Tableau, Excel, Looker

   ETL & Data Processing : AWS Redshift, RESTful APIs, Airflow

   Database Management : MySQL, PostgreSQL, MongoDB, Snowflake

   Cloud Platforms : AWS (S3, Lambda, EC2), Azure, Docker

   Tools and Platforms : Git, GitHub, Windows, VS Code, Prompt Engineering

   PROFESSIONAL EXPERIENCE

   Data Analyst Intern | RELI Group Inc. | Syracuse, New York February 2025 - Present

   • Developed and automated an ETL pipeline to extract, load data from GovWin into structured formats, reducing manual effort by 80% and ensuring accurate and timely data reporting.
   • Enhanced data validation and error handling by implementing Excel macros, Pandas, and NumPy, achieving 99.5% data accuracy and reducing data processing time by 50%, ensuring reliability across multiple reporting cycles.
   • Collaborated with business intelligence teams to optimize reporting dashboards using Power BI and Stream-lit, improving data visualization capabilities and accelerating decision-making speed by 40%.

   AI Researcher | NEXIS Lab, Syracuse University | Syracuse, New York February 2025 - May 2025

   • Utilized Hugging Face’s distilbert-base-uncased model to perform sentiment analysis on over 10,000 social media posts, achieving 92% classification accuracy and reducing manual data labeling efforts by 60% in a misinformation tracking project.
   • Built a responsive Streamlit dashboard to visualize sentiment trends, keyword frequency, and model predictions in real time enabling non-technical stakeholders to interact with data and extract insights, cutting review time by 40%.
   • Collaborated with a cross-disciplinary team to integrate BERT-based NLP pipelines into research workflow, reducing manual text tagging time by 40 hours per week.

   Research Fellow | Ballotpedia | Syracuse, New York January 2025 - March 2025

   • Led large-scale data validation initiatives by leveraging SQL and R to analyze and cross-reference over 1,000 electoral records improving database accuracy to 95%+ and enhancing retrieval efficiency by 30%.
   • Built automated research scripts utilizing Python and Pandas for data extraction and processing, reducing manual verification time by 20% and ensuring high-quality standards in electoral data management.
   • Partnered with data scientists to implement XGBoost-based anomaly detection models for identifying data inconsistencies, cutting down errors by 25% and reinforcing data reliability for public access.

   Founder & Data Analyst | Picky with Picks | Mumbai, India March 2022 - May 2023

   • Conducted customer segmentation using Python, K-means clustering, and SQL, increasing targeted email campaign CTR by 35% and boosting conversion by 18%.
   • Designed and deployed over 5 interactive Tableau dashboards for retail clients, automating KPIs and reducing manual reporting time by 40 hours/month, enhancing executive decision-making.
   • Cleaned, transformed, and analyzed datasets containing customer records using SQL and Excel, improving data accuracy by 28% and enabling more reliable quarterly reporting.

   PROJECTS

   Instagram Reach Analysis | Python, Pandas, Scikit-learn, Streamlit January 2025 - March 2025

   • Performed exploratory data analysis (EDA) and interactive visualization on Instagram post engagement using Pandas, Plotly

   Seaborn, and advanced NLP techniques (WordCloud), revealing nuanced user-engagement metrics and achieving a 31% follower

   conversion rate.

   • Deployed a hybrid ML model (PassiveAggressiveRegressor + SHAP) to predict post impressions with 94.2% R ² score, enabling explainable AI for interpreting feature impact across engagement KPIs like likes, saves, and profile visits.

   AI-Powered Legal Document Analyzer | Python, spaCy, BERT, Scikit-learn August 2024 - December 2024

   • Developed an AI-driven system utilizing spaCy and BERT models to classify and Scikit-learn to analyze legal contracts, achieving 85% accuracy in classifying clauses by risk level, thereby enhancing risk assessment efficiency by 40%.
   • Employed Natural Language Processing techniques to extract and quantify key contractual elements, facilitating data-driven decision-making and reducing manual analysis time by 65%.

3. 3. Software Engineer part-time resume that passed Airbnb, Accenture FS and 8 more

   Real resumePassed the screen atAirbnbAccenture FSaccessoAccess Softek+6 more

   Bachelor's in Computer Science, Truman State University

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   What this resume does well

   • Education firstIt opens with education, the first thing a screener checks on a student resume, as 81% of the resumes here do.
   • A projects sectionWith no internship listed, its projects section does the work of an experience section. 78% of the resumes here have one.
   • Specific skillsIt names 30 languages and tools, including Java, Kotlin and Python.
   • One pageEverything fits on one page, like 89% of the resumes here.

   Read this resume as text

   Education

   BS in Computer Science | Truman State University

   Skills

   Languages: Jav a, Kotlin, Python, XML

   Frameworks/Tools : Spring Boot, Spring Security, JPA, Hibernate, RabbitMQ, Kafka, My SQL, MongoDB, Redis, JUnit, Mockito

   JWT, REST, Jetpack Compose, Claude Code

   DevOps & Cloud: Docker, AWS, Git/Git, CI/CD Pipelines, Maven, Gradle, Jenkin s, Jira, Agile, Scrum, SDLC

   Professional Experience

   Co - Founder & Full - Stack Developer, Souna Virginia | June 202 5 – Present

   • Scaled a production - grade data platform to thousands of monthly active users, achieving 99.9% uptime, by architecting a distributed backend with Next.js, TypeScript, Supabase, and Cloudflare edge infrastructure.
   • Built a highly available edge - compute pipeline using Cloudflare Pages and Cloudflare Workers, ensuring low - latency global access and 99.9% uptime for a real - time audience.
   • Improved global response latency by 40% as measured by real - time performance analytics, by optimizing API routing, caching layers, and cloud - based data delivery workflows.

   Backend Engineer, EduTrend Remote | Jan 202 6 – Present

   • Developed backend services for an education technology platform using Node.js and TypeScript, implementing scalable APIs and data models to support real time classroom behavior tracking and analytics.
   • Designed and implemented GraphQL schemas, queries, and mutations with MongoDB for efficient data storage and retrieval, enabling role based access control and secure authentication workflows.
   • Improved backend reliability an d performance by implementing Redis caching, automated testing (unit and integration), and

   CI/CD pipeline support, contributing to debugging and production readiness of the platform.

   Research Assistant, CS Department, Truman State University Kirksville, MO | June 2024 – August 2024

   • Improved system responsiveness by 25% as measured by runtime benchmarks, by implementing multithreaded behavioral data processing for real - time gesture detection and video playback.
   • Enabled structured behavioral data collection for research analysis by designing concurrent processing pipelines that handled real - time interaction streams.

   Projects

   CalorieChase – Pok e mon Go style gamified step - tracking android app Sept 202 5 – Oct 202 5

   • D esigned a S pring C loud – based backend that separates workout scoring, routing, and session traffic to keep real - time activity tracking responsive under load
   • I mplemented ai - driven route generation by combining generative models with live geolocation data, producing personalized scenic workout paths without blocking the mobile client
   • C ontainerized and deployed services on AWS with automated build s and environment isolation, enabling repeatable releases and safe scaling during live demos

   AgroHub – AI powered farming platform for crop health and weather - aware decisions Dec 202 5 – Jan 2026

   • D esigned a mobile – backend system to collect farm data, analyze crop conditions, and surface actionable insights while supporting intermittent connectivity in rural environments .
   • I mplemented ai - driven crop disease detection and advisory workflows by combining image inputs, weather data, and a conversational assistant for context - aware recommendations .
   • B uilt and deployed scalable backend services with cloud storage and role - based access, enabling secure data ingestion and farmer - specific insights across multiple farms .

   PlateIt - Automation workflow to generate recipe from a YouTube video/shorts Jan 202 6 – Feb 2026

   • Built an agentic AI system that takes YouTube video links a nd automatically generates structured recipes including ingredients and step - by - step instructions.
   • Designed an MCP - based server to expose tools for transcript extraction, ingredient parsing, and recipe structuring, enabling clean separation between agent reasoning and tool execution.
   • Implemented multi - step agent workflows with tool calling, stateful memory, and schema - validated outputs to ensure reliable and repeatable recipe generation .

   Achievements

   • Third prize in “ TigerHacks 2025”, C hampion in “ Build for Everyone with Gemini ”, “ Tru H ack s 2024”.
   • Most voted project award in “ TigerHacks 2024”, “ PickHacks 2024”.

How to write a resume for Airbnb, based on 62 that passed the screen

1. 1. Keep it to one page

   A screener decides quickly whether to read on, and one page keeps your strongest lines where they look first. Cut older or less relevant entries before you shrink the font or the margins.

   89% of the 61 resumes here that we have read in full are one page.

2. 2. Lead with education while you are in school

   Your school, degree and graduation date are the first things a screener checks on a student resume, so they go at the top. Move experience above them once your internships say more about you than your coursework does.

   81% of the 53 resumes here whose sections we could read put education before experience.

3. 3. Count internships, research and projects as experience

   Internships, co-ops, research positions and teaching assistant roles all belong under experience. Without them, a projects section does the same job: what you built, with what, and what came of it.

   70% of the 61 resumes here that we have read in full list at least one internship or co-op and a typical one lists 3 roles. 78% have a projects section.

4. 4. Put a number in your bullet points

   Start each bullet with what you did and end with what came of it. A figure (users, latency, revenue, accuracy, time saved) makes the result concrete and easy to scan.

   A typical resume here has 17 bullet points, and 39% of them carry a figure.

   From the resumes above:

   • “Focused on key milestones, including acquiring 1,000 users on the waitlist, creating 1,000 user accounts, and generating $ 1,000 in revenue.”Example 1

   • “Developed and automated an ETL pipeline to extract, load data from GovWin into structured formats, reducing manual effort by 80% and ensuring accurate and timely data reporting.”Example 2

5. 5. List your GPA if it helps you

   Most student resumes list a GPA. If yours is near or above the average below, include it; if not, leave it off and let coursework and projects carry the education section.

   23% of these 62 resumes list a GPA on a 4.0 scale, and those average 3.66.

6. 6. Name specific languages and tools

   List the languages, frameworks and tools you have actually used, grouped by type, and match their names to the job description. Leave out soft skills; your bullet points show those.

   The most-listed skills on these resumes are node.js (32%), React.js (32%), Data Entry (26%), Android (23%) and C++ Programming (23%). A typical resume here lists 23 skills.

Top skills on resumes that passed Airbnb's screen

Airbnb resumes by the numbers

Questions about resumes for Airbnb