graph helps you add the missing context and evidence behind your work, the details that make your experience specific, credible and uniquely yours.
Built a new real-time Spark streaming pipeline on Apache Iceberg, reducing latency by 98%.
Pulled from profiles people have already made public - shown here without names, exactly as they set it.
A Data Analyst built something - shipped a new system end-to-end.
A Techno-Functional Business Analyst led something - owned direction, architecture and outcomes.
A Data Analyst built something - shipped a new system end-to-end.
A AI Implementation Consultant built something - shipped a new system end-to-end.
A Business - Data Analyst operated something - kept a production system running through an incident.
A Senior AI/ML Engineer learned something - picked up a new tool or technique to unblock the work.
A AI Automation Engineer built something - shipped a new system end-to-end.
Four screen-by-screen phases. See exactly what you do, what graph does, and what you get out of it.
No blank profile forms to fill out. The second you merge a pull request, resolve an incident, or make an architectural call, speak or type a quick note right from your phone or laptop. This raw note is the single source of truth for everything graph builds.
Migrated batch ETL pipeline to real-time Spark streaming on Kafka, cutting data latency from 6 hours to 90 seconds.
A vague bullet point like 'migrated our pipeline' won't stand out in an interview. graph's Clarify engine detects the missing engineering depth by asking about throughput, latency SLAs, edge cases, and rollback plans while the architecture is still fresh in your head.
How did you handle out-of-order Kafka events and schema evolution?
“Integrated Schema Registry with backward compatibility checks and implemented dead-letter topics for replay.”
What throughput SLA did the pipeline maintain at peak?
“Maintained 45,000 events/sec at P99 latency <1.2s across 14M daily transactions.”
Paste any target job description. graph immediately maps your verified captures against the role's requirements, outputting an ATS-matched Word (.docx) resume and an interview prep sheet that anticipates what the panel will ask.
Architected real-time Spark streaming pipeline on Kafka, reducing end-to-end data latency by 99.6% (6 hrs → 90s) while sustaining 45,000 events/sec with zero data loss.
Likely Question: “Walk me through your rollback strategy when Kafka schema evolves unexpectedly.”
💡 Proactive guidance: Address Schema Registry compatibility checks before they ask.
Everything you capture and clarify organizes into your living graph: a shareable, permissioned profile that showcases your real career trajectory, engineering signals, and verified technical milestones.
5 verified milestones
3 verified systems
Latency reduction and throughput metrics confirmed through answered context questions.
When a job opens or an interview is scheduled, graph turns what you've already captured into tailored evidence, ready to submit and ready to defend.
Paste in a job description to see your match score. graph finds the relevant moments from your timeline and rewrites the bullets to align with the role.
Migrated batch ETL pipeline to real-time Spark streaming on Kafka, reducing data latency from 6 hours to 90 seconds (a 99.6% improvement) while sustaining 45,000 events/sec.
Generated from your own captured work matched against the job description. Gives you talking points, likely questions, and gap guidance.
“Walk me through the trade-offs when you moved that batch ETL pipeline to real-time streaming.”
Rollback strategy isn't mentioned in your captures yet. Bring it up before they ask.
Every capture from the last few days, turned into a ready-to-post standup update - no credits needed, no writing required.
Yesterday
Today
Blockers
Real workflows from practitioners using graph to capture their work and prepare for opportunities.
Clear answers about how graph captures your work, data privacy, our credit system, and document exports.
We reply directly. Reach out anytime to speak with our team.
support@mygraph.id →graph helps you add the missing context and evidence behind your work, so others can understand not just what you did, but why it matters.
We believe no one should struggle to answer the question: why should I be hired, promoted, recognised, or rewarded?
Your resume, LinkedIn and portfolio tell people what you've done. graph helps you capture the context and evidence behind it: the decisions, challenges, impact and outcomes that make your work meaningful.
Think of graph as the layer that connects the dots and tells the fuller story of your professional journey.
