Resume Parser

Parse resumes and extract structured data.

Model Selection

Input

URL to a PDF file containing the applicant's CV or resume

https://storage.googleapis.com/tryitnow-ai-storage/3570487a-01e6-40f0-b0b8-a06afef13cae_Example-Resume.pdf
Output
Education
University of Washington
B.Sc. (Bachelor)
Computer Science
Sep 2017 - Jun 2021
Grade: 3.56/4.00

Focused on distributed systems, databases, and applied machine learning. Senior capstone project on scalable event-driven backend architectures.

Stanford University — Continuing Studies
Professional Certificate (Other)
Cloud Computing & MLOps
Feb 2022 - Oct 2022
Grade: Pass

Hands-on training in containerized deployments, CI/CD pipelines, model monitoring, and cost-aware infrastructure design.

Experience
Staff Backend Engineer
OrbitScale Systems • Full Time • Hybrid
San Francisco, US
Jan 2024 - Present

Designed and maintained a high-throughput backend platform supporting real-time analytics and AI-assisted decision systems. Led schema-driven API design using OpenAPI, JSON Schema, and contract-first development. Built and operated FastAPI and Node.js services with PostgreSQL, Redis, and background workers. Introduced structured logging, tracing, and SLO dashboards, reducing production incidents by 40%.

Senior Backend Engineer
DataForge Labs • Full Time • Remote
Remote
Aug 2021 - Dec 2023

Developed multi-tenant SaaS APIs for data ingestion, transformation, and reporting. Implemented async job processing and retry mechanisms for long-running analytics tasks. Optimized PostgreSQL queries and indexing strategies, improving p95 latency by ~30%.

Backend Engineer (Contract)
NovaRetail Analytics • Contract • Remote
Seattle, US
Jun 2020 - Jul 2021

Delivered REST APIs for e-commerce analytics dashboards. Built ETL pipelines in Python and improved data validation and error handling.

Software Engineering Intern
BluePeak Technologies • Internship • On-Site
Seattle, US
Jun 2019 - Sep 2019

Assisted in building internal developer tools and API monitoring utilities. Wrote integration tests and supported database schema migrations.

Projects
Workflow Automation Platform (Sample Project)

Platform for building reusable backend workflows with typed inputs/outputs, durable execution, and run history tracking.

Resume Analyzer (ATS)

CV parsing and structured scoring system with explainable scorecards and schema-driven UI rendering.

Event Processing Toolkit

Open-source toolkit for idempotent event processing, retries, and dead-letter queues.

Skills
PythonFastAPITypeScriptNode.jsPostgreSQLRedisDockerKubernetesJSON Schema / OpenAPIBackground Jobs & QueuesObservability (OpenTelemetry)
Languages
EnglishNative/Bilingual
SpanishFull Professional
Certifications
AWS Certified Solutions Architect – Associate
Google Cloud Professional Cloud Developer
Honors & Awards
Internal Engineering Excellence Award — OrbitScale Systems (2024)
Hackathon Finalist — Distributed Systems Challenge
Publications
Designing Contract-First APIs for Scale — Medium
Reliable Background Processing in Cloud-Native Systems — Dev Blog
Test Scores
IELTS Academic
Score: 7.0
Volunteer Experience
Mentor
CodeForwardMay 2022 - Nov 2024

Mentored junior developers on backend engineering, APIs, and system design.

Additional Information
Distributed systemsInterest
Backend platform engineeringInterest
Developer toolingInterest

About Resume Parser

Parse resumes and extract structured data.

How It Works

1Upload

Provide your inputs in the Playground tab — upload images, enter text, or configure parameters.

2Run

Click the run button to process your inputs through AI models — no coding or setup required.

3Get Results

View and download your AI-generated results instantly, right in your browser.

Inputs

(1 field)
Resume URLfileRequired

URL to a PDF file containing the applicant's CV or resume

Outputs

(1 field)
ResumejsonRequired

The structured data extracted from the resume

API Access

Integrate this use case into your application via our REST API. Switch to the API tab to see the endpoint, request format, and code examples in multiple languages.