Career resources — guides, tools, practice

How AI mock interviews work, what the scoring report tells you, and a 5-session plan to peak before a real round.

A reusable framework for system design rounds: requirements, capacity, API, data model, scaling, tradeoffs.

STAR structure that doesn't sound robotic, plus stories for the 12 questions you will actually get asked.

API design, databases, caching, queues — questions tuned to mid and senior backend roles.

React, rendering performance, accessibility, state management — typical FE-loop questions.

SQL windows, A/B test interpretation, product sense, dashboard design — calibrated to analyst loops.

End-to-end feature design, FE/BE tradeoffs, and questions that test both sides of the stack.

CI/CD design, observability, incident response, infra-as-code — the four pillars of a DevOps round.

SLOs, error budgets, on-call practice, and the production debugging questions that separate SRE candidates.

Model selection, evaluation metrics, training pipelines, MLOps, and production ML edge cases.

Test strategy, automation tradeoffs, bug triage, and the questions QA hiring managers actually ask.

Cross-platform questions: state, offline, lifecycle, performance — applicable to iOS and Android candidates.

Swift, UIKit/SwiftUI, memory and concurrency — the iOS-specific portions of a mobile loop.

Kotlin, Jetpack Compose, lifecycle, background work — Android loop calibration.

A patient advisor that reads your resume, asks the right questions, and outputs a concrete next-quarter plan.

A 10-criterion checklist that turns "gut feeling" into a decision you can defend a year later.

Switching domains (e.g. backend → ML, IC → manager) without a salary reset. Concrete 90-day plan.

Word-for-word phrasing for counter-offers, competing offers, and the awkward "what is your number?" moment.

From junior to staff: skill ladder, lateral options, and signals that get you promoted vs stuck.

Paste your resume, get a parse rate, missing keywords, and the exact lines that confuse most ATS systems.

A 20-minute process that triples callback rate without rewriting your resume from scratch.

Generate a cover letter that reads like you wrote it — specific, short, and tuned to the role.

Baseline ATS keyword list every SWE resume should hit, regardless of stack.

Keywords that work for entry-level — focus on fundamentals and project verbs.

Senior-level signaling: ownership, mentorship, system-level impact verbs.

API, distributed systems, database, and message-queue terms ATS expects.

React, accessibility, performance, and design-system keywords.

iOS, Android, cross-platform — terms that map cleanly across mobile roles.

CI/CD, IaC, observability, cloud platforms — DevOps-specific ATS keywords.

ETL/ELT, warehouses, streaming, orchestration — data-engineering vocabulary.

Modeling, MLOps, evaluation, and deployment terms ATS expects for ML roles.

A simple system to track 30+ applications without losing context on which round you're in.

Weekly cadence, follow-up cycles, and how to keep momentum across a 6–10 week search.

A free tracker template — columns, stages, and follow-up reminders — that you can copy today.

How live translation works during a live interview, latency expectations, and ethical use.

Setup walkthrough for live subtitles during calls, plus accuracy tips for noisy environments.

A playbook for non-native English speakers: pacing, filler-word reduction, recovery phrases.

Paste your resume, get a parse score, missing keywords, and format warnings.

Paste a job description, get the keywords, the must-haves, and a tailoring checklist for your resume.

Generate a negotiation script for your specific offer, currency, and tenure level.

A one-page cheat sheet — frameworks, story slots, recovery lines — to skim 10 minutes before the call.

Index of every company-specific question bank, with format breakdown and difficulty notes.

Coding, system design, and Googleyness — the three pillars of a Google loop.

Leadership Principles deep-dive, plus the technical bar by level.

The four-round loop, signal expectations, and how Meta scores at each level.

Cloud-heavy questions, AS-AppRunning loops, and how to handle the design round.

Bug-squash, integration, and async work-sample — Stripe's signature loop.

Life Story, technical deep-dive, and the pair-programming round.

Infra-leaning questions and the take-home — what Datadog actually evaluates.

Product-engineer style questions and how Linear evaluates taste vs scale.

First-year roadmap: fundamentals, the right scope of project work, and what gets you to mid-level.

Mid to senior signaling — ownership, mentorship, system-level impact, and the promo packet.

The 12 backend topics you must understand cold by senior — databases, distributed systems, observability.

React deep-dive, performance, accessibility, design systems — what senior FE engineers know.

From scripting to platform engineering: the skills that define senior DevOps.

Warehouses, orchestration, streaming, modeling — the senior data engineer's skill matrix.

From notebook to production: the gap that separates an ML researcher from an ML engineer.

Cross-platform vs native, performance, lifecycle — senior mobile engineering skills.