Example input
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 tasksā 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 āIolani 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
Here are my suggestions for your resume:
General:
I recommend including a summary or objective statement at the top of your resume. This should be a brief overview of your skills and experience, and should highlight the value you can bring to an employer.
Consider using bullet points to list your education, work experience, and projects. This will make the information easier to scan and understand.
I recommend including specific details and metrics where possible to give your resume more substance and impact. For example, instead of saying "I managed a team of software engineers," you could say "Managed a team of 10 software engineers using OKR, resulting in the successful launch of the first product in two months."
Make sure to proofread your resume carefully to ensure that there are no typos or grammatical errors.
Education:
It's not necessary to include your expected graduation date if you are currently enrolled in a degree program.
Consider including a section for relevant coursework, where you can list specific classes and skills that are relevant to the positions you are applying for.
Work experience:
Make sure to include the dates of employment for each job you list.
Try to use action verbs and specific metrics to describe your responsibilities and accomplishments. For example, instead of saying "I improved the accuracy of the detection tasks," you could say "Improved detection tasks' accuracy by 20% by building an ML-based computer vision algorithm with OpenCV and YoloV5."
Projects:
As with your work experience, use action verbs and specific metrics to describe your responsibilities and accomplishments.
Consider including links to any relevant project materials, such as code repositories or demo websites.
Skills:
Consider organizing your skills into categories, such as programming languages, tools and frameworks, and technical skills.
Make sure to include any relevant certifications or awards you have received.
I hope these suggestions are helpful! Let me know if you have any questions or if you'd like further feedback.