More than a document
A resume that does things a PDF never could.
It tracks the market and tells you which hot skills you’re missing.
Follio watches live job-market trends and compares them to your profile, then flags the in-demand skills you don’t yet have and suggests exactly what to learn next. You always know where you stand — and what to add to stay competitive.
You build it once. Every viewer reads it their way.
You are only the author of your resume — the people who open it are its real users. A PDF freezes them into the single layout you chose. Follio hands control back: the same profile becomes a recruiter-ready resume, a visual portfolio, or a quick snapshot, and each viewer picks the lens that fits them.
It answers questions — even when you are not there.
A recruiter wonders whether you have shipped to production, led a team, or worked with a certain stack. Instead of guessing from a static page, they just ask. Follio answers in plain language, grounded only in what is actually on your profile.
It plugs into where your work already lives.
Link your GitHub, Medium, and LinkedIn and Follio pulls in your repositories, writing, and experience — then keeps them in sync. New project shipped or article published? Your Follio updates itself, so the version everyone sees is never out of date.
One link to share — public or private, fully under your control.
No more emailing PDFs or juggling “resume_final_v3” files. Share your Follio with a single link: make it public for the world, or keep it private for one recruiter. You decide exactly who gets in, change your mind any time, and everyone always sees the latest version — nothing to download, nothing to re-send.
It catches the mistakes that quietly cost you interviews.
Intelligent checks review your Follio for far more than typos. They flag weak phrasing, inconsistent tense, vague bullet points, and design slips like uneven spacing or cramped sections — the common and easy-to-miss issues that make a resume look unpolished. You fix them before a recruiter ever sees them.
Stored as clean data, so machines read it perfectly.
Behind every view, your Follio lives as clean, structured JSON — not a flattened image of text. That means applicant tracking systems, exporters, and integrations read every field exactly right, with nothing lost to broken columns or unreadable PDFs.
Sarah Chen
Senior Software Engineer
Full-stack engineer with 8+ years shipping high-throughput distributed systems at scale. Led platform teams at two YC-backed startups and a Fortune 500 fintech. Specialized in event-driven architectures, developer tooling, and infrastructure automation. Passionate about building reliable systems that empower engineering teams to move faster.
Experience
Lead Platform Engineer
Meridian Technologies · San Francisco, CA
Jan 2022 – Present
- Architected event-driven microservices platform processing 2.4M requests/day with 99.97% uptime SLA across 12 services
- Spearheaded migration from monolith to microservices, reducing mean deploy time from 2 weeks to 45 minutes via custom CI/CD pipelines with automated canary deployments
- Replaced legacy batch ETL with real-time streaming sync (Kafka + Flink), cutting data latency from 6 hrs to under 30s and saving $340K/yr in compute
- Mentored team of 8 engineers; introduced architecture decision records and RFC process adopted company-wide
Software Engineer II
Nexus Labs (YC S18) · Remote
Mar 2019 – Dec 2021
- Engineered real-time collaboration engine using CRDTs, shipped to 180K+ monthly active users with sub-50ms sync latency
- Designed and built internal GraphQL gateway consolidating 4 REST APIs; adopted by all 6 product teams, reducing frontend data-fetching code by 40%
- Optimized PostgreSQL query layer with materialized views and connection pooling, improving p95 response times by 62%
Software Engineer
Stripe · San Francisco, CA
Jun 2017 – Feb 2019
- Core contributor to Payments API processing $B+ annually; designed ML-powered fraud detection feature preventing $2.1M in chargebacks quarterly
- Built webhook delivery system with at-least-once guarantees serving 50K+ merchants with 99.99% delivery rate
Selected Projects
Helios — Distributed Job Scheduler
Open Source
Fault-tolerant scheduler in Go with exactly-once delivery semantics, handling 5M+ daily jobs across multi-region clusters. 4.2K★ on GitHub and running in production at 30+ companies.
Cascade — Streaming ETL Framework
Open Source
Declarative pipeline framework on Kafka + Flink that cut end-to-end data latency from hours to seconds. Now powers real-time analytics for 12 internal product teams.
Vellum — Type-Safe API Toolkit
Side project
End-to-end typed RPC layer for TypeScript monorepos with zero codegen. 1.1K★ and featured in the React Status and Node Weekly newsletters.
Education
M.S. Computer Science
Stanford University
Jun 2019
Focus: Distributed Systems · Research: Fault-tolerant consensus protocols
B.S. Computer Science
Carnegie Mellon University
May 2017
Dean's List · GPA 3.87/4.0 · TA, Distributed Systems · HackCMU Organizer
Skills
Awards & Certifications
- AWS Certified Solutions Architect — Professional · 2023
- CNCF Certified Kubernetes Administrator (CKA) · 2022
- Speaker, KubeCon NA 2023 — “Scaling Event-Driven Systems to Millions of Requests”
- Patent pending — Adaptive canary deployment via real-time telemetry signals