OpenAI resume examples (2026)

OpenAI resume examples, and what they do well

1. 1. Software Engineer intern resume that passed OpenAI, Amazon and 8 more

   Real resumePassed the screen atOpenAIAmazonFigmaJane Street+6 more

   Bachelor's in Computer Science, Harvard University, 2026

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   What this resume does well

   • Numbers in most bullet points10 of its 17 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 84% of the resumes here do.
   • A projects sectionIt gives projects their own section, alongside 3 internships. 84% of the resumes here have one.
   • 3 internshipsIt lists 3 internships, most recent first. 81% of the resumes here list at least one.

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   Education

   Harvard University Cambridge, MA

   Bachelor of Arts in Computer Science August 2022 – May 2026

   Relevant Coursework: Data Structures & Algorithms, Compilers, Operating Systems, Computer Architecture

   Experience

   Software Engineer Intern May 2-24 – August 2024

   Meta New York, NY

   • Developed and optimized backend services for user data processing using Python, improving response time by 30% through efficient data caching strategies
   • Collaborated with cross-functional teams on a privacy-preserving API that supports over 500,000 active users enhancing security compliance and scalability
   • Created automated testing pipelines using CI/CD tools, reducing the manual QA workload by 40%

   Software Engineer Intern May 2023 – August 2023

   Google Mountain View, CA

   • Designed and implemented a cloud-based microservice architecture for handling real-time analytics, which improved data processing speeds by 40%
   • Built end-to-end features using JavaScript (React) and Python (Flask), resulting in the successful launch of a beta product that increased user retention by 15%
   • Conducted performance optimization for an existing API, reducing latency by 50% through query optimization and caching mechanisms

   Software Engineer Intern May 2022 – August 2022

   NASA Houston, TX

   • Developed a simulation tool in Python to model spacecraft trajectories, which reduced simulation time by 20% and increased accuracy by 15%
   • Built and maintained a data visualization dashboard for mission telemetry, providing real-time analytics and insights to engineers and mission control staff

   Projects

   Custom Compiler and Interpreter

   • Built a lightweight compiler and interpreter from scratch for a custom programming language, supporting basic arithmetic operations, control flow, and data types
   • Used C++ and LLVM to optimize generated code, improving performance by 35% over the initial unoptimized version
   • Developed comprehensive unit and integration tests to ensure correctness and stability

   Full-Stack CRUD API

   • Developed a fully functional RESTful API in Flask, allowing users to manage an inventory system with create read, update, and delete operations
   • Implemented authentication and authorization features using JWT, securing the API and ensuring only authorized access
   • Created a front-end interface in React to interact with the API, supporting dynamic table rendering, filtering, and data manipulation

   AI/ML Chatbot

   • Built a conversational AI chatbot using Python and TensorFlow, capable of responding to user queries and performing basic tasks like setting reminders
   • Integrated a fine-tuned GPT-2 model to enhance the chatbot’s conversational abilities, resulting in a 90% user satisfaction rate in beta tests
   • Developed a data pipeline for training on custom datasets, ensuring a 25% reduction in prediction errors through data augmentation techniques

   Technical Skills

   Languages : Python, C++, JavaScript, HTML/CSS, SQL (Postgres,) Java, HTML/CSS, R

   Frameworks : React, Flask, Node.js, TensorFlow

   Developer Tools : Git, Docker, Kubernetes, CI/CD (Jenkins), PostgreSQL, MySQL

   Libraries : GPT-2/3, TensorFlow, Keras

2. 2. Software Engineer new grad resume that passed OpenAI, Bloomberg and 8 more

   Real resumePassed the screen atOpenAIBloombergCapital OneDatabricks+6 more

   Bachelor's in Computer Science & Entrepreneurship, University of Southern California, 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 84% of the resumes here do.
   • A projects sectionIt gives projects their own section, alongside 3 internships. 84% of the resumes here have one.
   • 3 internshipsIt lists 3 internships, most recent first. 81% of the resumes here list at least one.
   • Specific skillsIt names 38 languages and tools, including Java, Python and JavaScript.

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   EDUCATION

   University of Southern California Los Angeles, California

   Bachelor of Science in Computer Science & Entrepreneurship May 2025

   SKILLS & INTERESTS

   Programming Languages/Databases: C++, Scala, Java, Python, HTML, CSS, JavaScript,TypeScript, SQL, MongoDB, SQLite, Oracle

   Web/Frameworks: Flask, Node.js, React, Next.Js, Springboot, Git, Apache Spark, Scala, Hadoop, GraphQL, Numpy, Pandas, Scrum

   maplt.py, Selenium, BeautifulSoup4, scikit-learn, Junit, Mockito, Unit Test, Maven, AWS, Assembly, IDE, Docker, Agile, Gradle

   Coursework : Software Engineering, Artificial Intelligence, Natural Language Processing, Operating Systems, Software Development

   Applied Python, Computer Security, Data Structure, Web Development, Theory of Computing, Computer Systems

   WORK EXPERIENCE

   Linkedin Mountain View, California

   Software Engineering Intern May 2024 - August 2024

   • Spearheaded development of th e highest-priority revenue-based feature for the Revenue Attribution Report team, resulting in a 10% reduction in CRM connection drop-off rates by implementing an automated email notification system to engage new and existing customers with updated CRM connections.
   • Collaborated with nine cross-functional teams across LinkedIn to integrate and deploy notification systems, demonstrating strong leadership and coordination to align various technical and business requirements.
   • Architected and deployed the first notification system for the Ads Attribution team, utilizing Spark, Hadoop, and Scala to build historical and daily ETL data pipelines, improving overall efficiency by 20% . This system flagged customers for email notifications based on new connections to the Ads Platform.
   • Designed interdependent, fail-safe data pipelines processing daily inputs from multiple datasets. Pipelines automatically backfilled data during infrastructure failures, ensuring accurate and reliable processing.
   • Calculated and aggregated ad spending metrics across multiple campaigns, implementing a formula to assess ad spend thresholds and determine eligibility for notifications.
   • Executed extensive data mapping converting tenant data into LinkedIn's URN (Unique Entity Identifier) system by mapping account IDs to enterprise profiles, ensuring seamless tracking and reporting across all levels of enterprise accounts.
   • Led frontend and configuration efforts for email system, coding interface using Glimmer/Ember and GraphQL to retrieve necessary enterprise profile data, including first and last names, to personalize communications.
   • Project directly contributed to an increase in customer satisfaction scores by 15% and revenue growth through improved engagement.

   Kaiser Permanente Remote, Virtual

   Software Engineering Intern June 2023 - August 2023

   • Developed a critical API endpoint for the Smart Triage system, automating the routing of patient pre-appointment questionnaires to doctors via the Epic platform, reducing errors in patient data delivery by 20%.
   • Engineered a solution to ensure seamless data transmission of patient responses, significantly improving the accuracy of information processing and contributing to improved patient satisfaction .
   • Conducted comprehensive testing and validation to ensure reliability of the endpoint, resulting in f aster patient intake and a 30% increase in processing efficiency .

   NASA Norco, California

   Embedded Software Engineering Intern March 2022 - August 2022

   • Developed and deployed an embedded rover with image recognition, motion detection, and soil identification capabilities, improving the rover’s environmental interaction and data collection efficiency by 40%.
   • Programmed embedded software in C++ for Arduino Uno microprocessors, incorporating sensors (NPK, magnetic, pH, light water) to enhance system accuracy and environmental data collection .
   • Designed and implemented embedded circuits and software to capture lunar images and apply machine learning models for object recognition, reducing manual image processing time by 50%.

   PROJECT EXPERIENCE

   • Hive : Built a semantic search engine to parse team data, enabling intuitive information retrieval without exact text across multiple Apis using Next.js and Flask, synthesizing G Suite, Slack, and multiple REST APIs.
   • Medisense-AI: a ML Random Forest to assess disease, facilitating diagnoses by comparing patient data with similar cases
   • Twitter sentiment analysis : Built an API for Twitter sentiment analysis, utilizing Pandas/NumPy/sklearn to do data processing and manipulation and machine learning techniques.
   • TrojanSquare : is a hyper-localized digital marketplace for college students to help with buying and selling used goods
   • MovieTeller : A semantic movie search engine to find films by describing a storyline. API Data Mining Pandas/NumPy/sklearn
   • Spotify Music Recommendation: Full stack web app using Flask, Spotify API, HTML, CSS to input a song and recommend a list of similar songs based on vibe and taste
   • ChurnGuard: Developed a machine learning model to predict customer churn and improve retention strategies for businesses.

   Leadership & Involvement

   -AI Fellowship - ACM -Developer LavaLab - Undergraduate Research Fellowship - Blockchain SC - Creative Labs

3. 3. Software Engineer new grad resume that passed OpenAI, Accenture FS and 8 more

   Real resumePassed the screen atOpenAIAccenture FSAdobeALTEN Technology+6 more

   Master's in Computer Science, Oregon State 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 84% of the resumes here do.
   • A projects sectionWith no internship listed, its projects section does the work of an experience section. 84% of the resumes here have one.
   • Specific skillsIt names 24 languages and tools, including Python, Git and Docker.
   • One pageEverything fits on one page, like 95% of the resumes here.

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   Summary

   Software developer with a strong background in Unity, C#, and performance optimization for virtual reality appli-

   cations. Experienced in designing immersive and interactive features in virtual environments and developing cross-

   platform solutions. I enjoy working in collaborative environments, where I’ve led technical teams, conducted code

   reviews, and maintained CI/CD pipelines to run the projects smoothly. I am always striving to expand my knowledge

   in VR domain to create impactful, efficient, and user-centered solutions.

   Education

   • Oregon State University Corvallis, OR

   Master of Science in Computer Science, Sep. 2023 – Jun. 2025

   • Specialization in Virtual Reality, Computer Graphics & Shaders, Human-Computer Interaction

   Technical Skills

   • XR Development: Unity Engine, Meta SDK, XR Interaction Toolkit, Figma, VR Optimization, Unity Test

   Framework

   • Graphics & Performance: GPU Instancing, GLSL, Custom Shaders, Draw Call Optimization
   • Programming: C#, C++, Python, Object-Oriented Design, Design Patterns
   • Development Tools: Git, Docker, Azure DevOps, CI/CD Pipelines, Visual Studio
   • Software Practices: Agile Methodologies, Test-Driven Development, Performance Profiling, Cross-platform De- velopment

   Professional Experience

   • Oregon State University Corvallis, OR

   Graduate Research Assistant - VR Software Developer December 2023 - Present

   • Led development of an interactive 3D Graph Visualization tool for VR platforms, implementing robust interac- tions using Meta Quest controllers and XR Interaction Toolkit.
   • Designed and implemented a scalable architecture that supports VR, and desktop platforms.
   • Designed and developed Tutorial system which interactively guides users in learning and complete important graph tasks.
   • Added progress bars and pop-up messages to provide feedback to the user about the state of the system.
   • Conducted multiple user testing sessions with diverse participants to gather feedback, leading to significant improvements in interface design and interaction patterns.
   • Implemented asynchronous loading of GameObjects over multiple frames to avoid the freezing of application when loading large datasets in VR. Additionally, the load times on high-performance hardware (Nvidia RTX 3090) reduced from 27 seconds to just 4 seconds (85% improvement).
   • Implemented advanced features including selective undo/redo system using Command pattern and dynamic node clustering. Furthermore, we applied this in the tutorial system to allow users to go back to the previous step.
   • Boosted rendering performance by 267% (30 FPS to 110 FPS) when displaying higher order nodes (10k+) on

   Desktop systems (Nvidia RTX 3090), through systematic optimization including GPU instancing, draw call

   batching, and efficient memory management

   • Utilized Unity Test Framework and implemented end-to-end automated test for important functionalities.
   • Architected multi-platform build pipeline using Docker, reducing deployment time greatly(approx. by 60%) while maintaining build stability.
   • Led code reviews and mentored 3 team members on VR development best practices and optimization techniques
   • Tata Consultancy Services Hyderabad, India

   Systems Engineer November 2020 – August 2023

   • Designed and implemented data pipelines using Azure Data Factory, enabling automated data processing
   • Built interactive dashboards integrating multiple data sources for business analytics
   • Maintained CI/CD workflows using Azure DevOps for consistent delivery and deployment

   Projects

   • OSU VR Simulation: Integrated geospatial data using Cesium for accurate building representation. Created immer- sive VR simulation using Unreal Engine with focus on performance and user experience. Implemented a custom navigation system and interactive elements optimized for VR controllers.
   • UI Set: Utilized the UI set available in the Meta interaction SDK to build a small shopping application.

How to write a resume for OpenAI, based on 21 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.

   95% of the 21 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.

   84% of the 19 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.

   81% of the 21 resumes here that we have read in full list at least one internship or co-op and a typical one lists 4 roles. 84% 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:

   • “Developed and optimized backend services for user data processing using Python, improving response time by 30% through efficient data caching strategies”Example 1

   • “Project directly contributed to an increase in customer satisfaction scores by 15% and revenue growth through improved engagement.”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.

   38% of these 21 resumes list a GPA on a 4.0 scale, and those average 3.49.

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 (57%), AWS (38%), C++ Programming (38%), Docker (38%) and Python (38%). A typical resume here lists 28 skills.

Top skills on resumes that passed OpenAI's screen

OpenAI resumes by the numbers

Questions about resumes for OpenAI