ProskAI · Learning
AI for Recruiters → Lesson 1 → Run materials
Version: October 2026 (English edition)
Exercise data · synthetic

The job posting and five resumes we used for the run

This is exactly the data we fed into the Lesson 1 prompts — so you can repeat the run one to one and check your table against ours. All names, companies and dates are made up: there are no real people here, so you can practice anywhere.

How to use it

Input · job posting

Middle Python Developer, EduPath

A made-up EdTech product company. The requirements are deliberately written without discriminatory criteria — this is a control example.

Position: Middle Python Developer. Company: EdTech product platform for
online courses (~120 employees, ~180k monthly active learners), migrating from
a monolith to microservices. Format: remote (EU) or hybrid (Lisbon).
Responsibilities: developing backend services in Python (Django/FastAPI); taking part in the move
to a microservice architecture; automated tests (pytest), code review; optimizing
PostgreSQL queries; taking part in sprint planning.
Requirements: 2+ years of commercial Python experience; solid knowledge of Django or
FastAPI; experience with relational databases (PostgreSQL/MySQL), understanding of indexes and
query optimization; Git, understanding of CI/CD; basic Docker; English B1 or higher.
Nice to have: Celery/RabbitMQ, Kubernetes, experience in EdTech/high-load
B2C.
Salary range: 2,200–3,200 USD net.
Input · five candidates

Resumes

The candidates are deliberately different: one strong with verifiable facts, one with smooth text and not a single number, one with a "10x" claim and no baseline for comparison, one with formal experience in the wrong role, and one strong but from a different stack.

=== Candidate-009 ===
Middle Python Developer, Poland, remote
About me: backend developer, 4+ years of commercial Python experience. Latest
team — a marketplace with ~90k daily active users.
Experience:
— Middle Python Developer, product company (marketplace, ~200 employees),
  03.2023 – present. Product search and filtering service on FastAPI: extracted it
  from the monolith, handles ~1.2k requests/min at peak. Catalog: the category page
  used to load in 2.4 s; after a composite index (category_id, created_at) and
  removing N+1 — 180 ms on the same data. Celery + RabbitMQ queues for
  importing price lists (up to 400k items overnight). Test coverage of my service
  from 34% to 71% (pytest), runs in GitLab CI on every MR.
— Python Developer (Junior → Middle), outsourcing (~60 employees),
  02.2022 – 02.2023. Django backend for internal CRMs of two clients. REST API on
  DRF, integrations with payment providers. Analyzed slow PostgreSQL queries
  with EXPLAIN ANALYZE.
Education: public technical university, applied mathematics, bachelor's, 2017–2021.
Skills: Python, Django, DRF, FastAPI, PostgreSQL (indexes, EXPLAIN ANALYZE),
Redis, Celery, RabbitMQ, Docker, GitLab CI, pytest, Git. English — B2.

Candidate-009 — a clean, strong profile: facts are described as actions, with metrics — the baseline

=== Candidate-002 ===
Middle Python Developer
About me: an experienced and results-driven Python developer with a passion for quality
code and innovative solutions. I constantly improve my skills and keep up with
the latest technologies. A results-oriented team player.
Experience:
— Python Developer, IT company, 2022 – present. Successfully developed and implemented
  high-quality software solutions. Effectively collaborated with cross-functional
  teams. Continuously optimized application performance and improved the
  architecture. Ensured a high level of code quality. Participated in code review
  and mentoring junior colleagues.
— Python Developer (Junior→Middle), previous employer, 2020 – 2022. Developed
  reliable and scalable solutions using a modern stack. Demonstrated
  excellent problem-solving skills.
Education: higher technical.
Skills: Python, Django, Flask, SQL, Git, REST API, Docker, teamwork,
communication skills, stress resistance.

Candidate-002 — smooth text without a single verifiable fact — everything sits in the skills list

=== Candidate-007 ===
Middle Python Developer, Portugal (open to remote)
About me: backend developer with over 5 years of experience, the last 3 years in Python.
Experience:
— Middle Python Developer, product company (logistics platform, mid-size),
  07.2023 – present. Development and maintenance of services in Django and
  FastAPI. Optimized system performance by 10x by reworking database
  queries. Introduced Redis caching. Code review, tests with pytest.
— Backend Developer, self-employed (freelance, several e-commerce and
  CRM clients), 01.2021 – 08.2022. Stack: Java, Spring, MySQL; some tasks — Python
  scripts.
— Java Developer, outsourcing company (mid-size), 2019 – 2021. First
  commercial position, internal tools for the HR department.
Education: public technical university, computer systems, bachelor's, 2017–2021.
Skills: Python, Django, FastAPI, PostgreSQL, MySQL, Redis, Docker, Git, pytest,
Java/Spring, Kafka (basic). English — B1.

Candidate-007 — a red flag: "10x" with no baseline for comparison

=== Candidate-010 ===
Data Engineer, Romania, remote
About me: 4+ years of commercial work with Python. Started in test
automation, the last two years — data engineering. Looking to move into product development.
Experience:
— Data Engineer, product company (retail analytics, ~80 employees),
  06.2023 – present. ETL pipelines on Airflow: 40+ DAGs, daily loads from
  6 sources. Data processing with pandas, loading into ClickHouse; the largest
  pipeline — ~12M rows per day. Analytical SQL queries for dashboards
  (ClickHouse, PostgreSQL as a source). Docker for reproducing pipelines
  locally, GitLab CI for linters.
— QA Automation Engineer, outsourcing company, 04.2022 – 05.2023. Automated tests in
  Python: pytest + Selenium, ~600 scenarios, run in CI. Internal wrapper
  library for API tests (requests).
Pet projects: Telegram bot for expense tracking on Django + SQLite, ~200 users.
Education: public classical university, applied mathematics, master's, 2016–2021.
Skills: Python, pandas, Airflow, ClickHouse, SQL, PostgreSQL, pytest, Selenium,
requests, Docker, GitLab CI, Git. Django — pet-project level. English — B1.

Candidate-010 — formal Python experience is there, but it's Python for pipelines, not web services

=== Candidate-003 ===
bakend developer, large city/remote, in development 9 years working with backend
on Java and partly Kotlin the last 4 years moved to microservices before that
wrote monolithic systems in banking now I work at a product company
in Fintech (payment gateway) since 2023 till now here I am team lead of a team of 5
developers responsible for the payment orchestrator which processes about 40k
transactions per day with the move to microservices we cut transaction processing time
from 800ms to 210ms average and the number of production incidents per quarter dropped from 14
to 3 stack Java 17 Spring Boot Kafka PostgreSQL Redis Kubernetes before that from 2019
to 2023 worked at a banking institution as a senior developer wrote the core
transaction module monolithic system on Java 8 Spring MVC Oracle DB team of 12
people mentored two juniors before that from 2017 to 2019 Middle Developer
first job in IT before that 5 years worked as an engineer at a plant not IT at all
a completely different field so I switched through courses and self study English intermediate
can write read freely speak worse no formal certificates education
public technical university mechanical engineer 2008-2013 not related want to move to python because I've been writing pet projects in it for a long time and ready to consider a middle position with a grade downgrade this is a conscious choice.

Candidate-003 — strong, but from a different stack and written as one stream without punctuation

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