Example input
This is my resume: Jay Dang Berkeley, CA * jaydang@berkeley.edu * 808-469-2858 * github.com/JiachengDang EDUCATION University of California, Berkeley September 2021 - Jan 2024 (expected) B.A. Computer Science, Overall GPA: 3.8, Major GPA: 3.94 Berkeley, CA Coursework: Deep Learning, Algorithms, Data Structure, Software Engineering, Computer Architecture, Optimization, Discrete Math, Probability and Random Processes, Web Development Awards: ISEF 2021 3rd place, HSSEF 2021 1st place, Congressional App Challenge 2021 State Champion, NOIP 2017 1st place WORK EXPERIENCE Co-Founder, Markit.ai Co. May 2022 - Present Big data analytics company providing AI-based predictive analytics on digital marketing performance. I designed product architecture and features and managed the dev team. Reached $4k in revenue and ~100 users in the first month of launch. Managed 10 software engineers using OKR, organized dev and product sync, and launched the first product in 2 months. Created 4 ML-based algorithms to perform analytic prediction using Tensorflow and Pytorch, outperforming competitors by 23%. Speed up user flow operations by 10x(than competitors) by parallelizing ML models and load balancing with Nginx and Gunicorn. Architectured the WebUI using React/TypeScript, integrated SEO using Next.js, and deployed with CI/CD using AWS Amplify. Implemented Role-based REST API Endpoints and data fetching, processing, and storage pipeline with Flask and AWS. Machine Learning Engineer Intern, Luum Robotics Inc. May 2022 - July 2022 Robots Company in Oakland focuses on optimizing cosmetic services in the beauty industry with machine learning. I expanded the features of the ML system and detection algorithms. Built an ML-based computer vision algorithm with OpenCV and YoloV5 that improved detection tasksâ accuracy by 20%. Architectured ML infrastructure with C++ and TensorRT that increase model deployment efficiency and performance by 400%. Data Scientist Intern, C. Light Technologies Inc. Feb 2022 - May 2022 Medical Device Company analyzes fundus images for early disease detection using CV and Deep learning. I expanded features on data infrastructure to process and analyze image data. Implemented data pipeline in Linux to generate image data and ensure data quality with OpenCV and statistical model using Numpy, SQL, and Python, improved image data quality and model accuracy by 15%. Trained and compared object detection models on retinal images, researched object tracking schema on video sequences to support ML detections and stabilize traces using Pytorch and OpenCV. PROJECTS Glaucomark Oct 2019 - Jun 2021 Software and hardware project offering an ML-based solution for large-scale early glaucoma screening with accuracy, accessibility, and scalability. Researched and designed an innovative ML-based algorithm that diagnoses glaucoma with 97% accuracy in under one minute, published the algorithm in a peer-reviewed journal as the first author. Deployed a full-stack React/Node JS web service for online early glaucoma diagnosis from user-inputted retina images. Interviewed 15+ external stakeholders for professional and business development insights, and presented to multiple science fairs. AppDev at âIolani Aug 2020 - Jun 2021 Found a student software engineer community that develops applications to benefit the campus community, facing 300+ student users. Built a Vue/Firebase website providing user-friendly laundry room monitoring service to reduce congestion, officially accepted. Designed an interactive text-based video game to educate high school seniors about college loans, used by college counselors. Created a web-based launchpad that combines and syncs beatbox audio clips with sound effects to produce amazing music. Led a 7-member engineering team, proposed and researched product insights, oriented members, and set development goals. SKILLS Languages: Python, Java, C/C++, C#, Bash, Javascript, TypeScript, HTML/CSS, R, SQL Tools/Frameworks: React/ Redux, Vue, Next.js, Node JS, Flask, SQLite, Tensorflow, Pytorch, Nginx, Gunicorn, Numpy, pandas Platforms: Amazon AWS(EC2, S3, DynamoDB, Lambda, Cognito, ECS/ECR), Google Cloud Platform, TensorRT, Docker, CI/CD
Example output
I have reviewed your resume and suggest the following changes:
1. Grammar and Typos:
- Replace âOverall GPA: 3.8, Major GPA: 3.94â with âOverall GPA: 3.8; Major GPA: 3.94â
- Replace âI designed product architecture and features and managed the dev teamâ with âI designed product architecture and features and managed the development teamâ
- Replace âReached $4k in revenue and ~100 users in the first month of launchâ with âReached $4K in revenue and approximately 100 users in the first month of launchâ
- Replace âCreated 4 ML-based algorithms to perform analytic prediction using Tensorflow and Pytorch, outperforming competitors by 23%â with âCreated four ML-based algorithms to perform analytic predictions using TensorFlow and PyTorch, outperforming competitors by 23%â
- Replace âSpeed up user flow operations by 10x(than competitors) by parallelizing ML models and load balancing with Nginx and Gunicornâ with âSpeed up user flow operations by 10x (compared to competitors) by parallelizing ML models and load balancing with Nginx and Gunicornâ
- Replace âArchitectured the WebUI using React/TypeScript, integrated SEO using Next.js, and deployed with CI/CD using AWS Amplifyâ with âArchitectured the Web UI using React/TypeScript, integrated SEO using Next.js, and deployed with CI/CD using AWS Amplifyâ
- Replace âImplemented Role-based REST API Endpoints and data fetching, processing, and storage pipeline with Flask and AWSâ with âImplemented role-based REST API endpoints and data fetching, processing, and storage pipeline with Flask and AWSâ
- Replace âImplemented data pipeline in Linux to generate image data and ensure data quality with OpenCV and statistical model using Numpy, SQL, and Python, improved image data quality and model accuracy by 15%â with âImplemented a data pipeline in Linux to generate image data and ensure data quality with OpenCV and statistical model using NumPy, SQL, and Python, which improved image data quality and model accuracy by 15%â
- Replace âTrained and compared object detection models on retinal images, researched object tracking schema on video sequences to support ML detections and stabilize traces using Pytorch and OpenCVâ with âTrained and compared object detection models on retinal images, researched object tracking schema on video sequences to support ML detections and stabilize traces using PyTorch and OpenCVâ
- Replace âFound a student software engineer community that develops applications to benefit the campus community, facing 300+ student usersâ with âFounded a student software engineer community that develops applications to benefit the campus community, serving over 300 student usersâ
2. Content:
- Expand on âDeep Learning, Algorithms, Data Structure, Software Engineering, Computer Architecture, Optimization, Discrete Math, Probability and Random Processes, Web Developmentâ to include course names, relevant topics, and other important details
- Clarify which company is associated with the Machine Learning Engineer Intern and Data Scientist Intern positions
- Provide more detail about the algorithms created for Markit.ai Co, Luum Robotics Inc, and C. Light Technologies Inc
- Provide more detail about the Glaucomark project
- Clarify which programming languages, tools, and platforms you are proficient in
3. Formatting:
- Add a section for certifications and/or technical skills
- Place the Work Experience section before the Projects section
- Adjust the font size and line spacing to improve the overall readability of the resume