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> SYSTEM CHECK ................. OK
> LOCATION ...................... Casablanca, Morocco
> CLASS ......................... Data Engineer / Backend Dev
> STATUS ........................ Actively questing for XP
> CONTACT ....................... younessatif2000@gmail.com
> LINKEDIN ...................... linkedin.com/in/ynstf
> ACHIEVEMENT UNLOCKED .......... Published Researcher (arXiv:2503.05929)
โถ CLICK TO RUN CHAPTER 1: The Scraper Awakens (2023)
[ANAPEC.exe launched]
A young intern is dropped into the wild with nothing but
Selenium, Requests, and BeautifulSoup. His mission:
tame the untamed web.
> USE beautifulsoup ON messy_html
< SUCCESS: structured CSV obtained.
> BUILD wordpress_blog FOR electric_bike_product
< A new skill was born: automated content pipelines.
CHAPTER 1 COMPLETE. +50 XP. Item acquired: [Web Scraping Mastery]
โถ CLICK TO RUN CHAPTER 2: The Analyst's Trial (2024)
[AtlasVox.exe launched]
Armed with Pandas and NumPy, our hero dives into sales
and stock data. Numbers everywhere. Chaos. Then... clarity.
> CAST matplotlib::visualize(sales_data)
< A chart appears. The business finally SEES.
CHAPTER 2 COMPLETE. +75 XP. Item acquired: [Data Analysis Scroll]
โถ CLICK TO RUN CHAPTER 3: The CRM Rebellion (2024)
[Technical24.exe launched]
The kingdom paid tribute to a costly SaaS CRM every month.
Our hero said: "No more." He forged his own weapon โ
Django + PostgreSQL + DRF.
> FORGE custom_crm
< The paid subscription has been DEFEATED.
< Savings: 100%.
CHAPTER 3 COMPLETE. +150 XP. Item acquired: [Django Blade +3]
โถ CLICK TO RUN CHAPTER 4: The Research Arc (2025)
[research_lab.exe launched]
A strange idea: what if sound... became color?
Audio waveforms, transmuted into RGB images,
fed to a Deep Convolutional Neural Network.
> RUN experiment(audio_to_image_encoding)
< Speaker classification accuracy: 98%
< PUBLISHED: arXiv:2503.05929
CHAPTER 4 COMPLETE. +300 XP. Title earned: [Published Researcher]
โถ CLICK TO RUN CHAPTER 5: The Pipeline Dungeon (2026 - present)
[Noodra.exe running...]
Current quest, still in progress. Deep in the dungeon of
ETL pipelines, wrestling Celery workers and RabbitMQ queues,
containerizing every service that dares stand still.
> BUILD etl_pipeline WITH django + postgresql
> DEPLOY services USING docker + github_actions
STATUS: IN PROGRESS...
[|||||||||||||||||||||||||||||||||||||||||| ] 82%
|
|
$ ls -la ~/quests/completed/
> 8 quests found. select one to view battle log...
โถ QUEST 01 โ ๐ THE SMART CITY DUNGEON [end-to-end-bigdata-traffic-pipeline]
[bigdata_traffic.exe launched]
A city drowning in raw sensor data. Every traffic light,
every IoT node, screaming numbers into the void.
> CONNECT kafka_stream TO iot_sensors
< Data flowing... 10,000 events/sec incoming.
> STORE raw_stream IN hadoop_data_lake
< Lake filled. Nothing lost.
> CAST apache_spark::process(traffic_metrics)
< Congestion patterns REVEALED across the city grid.
> ORCHESTRATE etl_workflow
< Pipeline automated. The city now predicts itself.
QUEST COMPLETE. +200 XP. Boss defeated: [Data Chaos]
Loot: Kafka, Hadoop, Spark mastery badges
โถ QUEST 02 โ ๐๏ธ THE PODCAST FACTORY [YouTubePodcaster]
[youtube_podcaster.exe launched โ running 24/7]
A machine that never sleeps. Feed it a Reddit thread,
it hands back a finished video.
> FETCH reddit_thread
< Story extracted.
> SUMMON llm::write_script(thread)
< Script written in seconds.
> INVOKE elevenlabs::voiceover(script)
< A voice, born from silence.
> GENERATE visuals USING stable_diffusion
> COMPOSE soundtrack USING musicgen
> UPLOAD final_video TO youtube
QUEST COMPLETE. +250 XP. Title earned: [Automated Content Forge]
Status: still running in the background, right now.
โถ QUEST 03 โ ๐ฆ THE VAULT [Digital-Banking]
[digital_banking.exe launched]
A fortress of customer accounts and secret transactions.
Guarded by JWT tokens and REST endpoints.
> BUILD backend WITH spring_boot_3
> BUILD frontend WITH angular_16
> ENFORCE jwt_authentication ON all_routes
> RUN transaction(deposit, withdraw, transfer)
< All movements secured. Vault sealed.
QUEST COMPLETE. +180 XP. Item acquired: [Spring Boot Shield]
โถ QUEST 04 โ ๐ THE FORTRESS [Secure Microservices โ Spring Boot / React / Keycloak]
[secure_microservices.exe launched]
An e-commerce kingdom, but every gate needs a key.
Enter Keycloak, guardian of identity.
> SPLIT monolith INTO product_service, order_service
> DEPLOY api_gateway AS single_entry_point
> BIND keycloak TO all_services
> WIRE devsecops_pipeline
< Security audit: PASSED.
< The kingdom stands, decoupled and defended.
QUEST COMPLETE. +220 XP. Title earned: [Guardian of Microservices]
๐ github.com/ynstf/Development-of-a-secure-microservices-application
โถ QUEST 05 โ ๐ฆ THE ZIP MINES [Y2P-core]
[y2p_core.exe launched]
Deep in the mines, tutorials become treasure.
Paste a link. Walk away with working code.
> INPUT youtube_url
< Video analyzed frame by frame.
> EXTRACT code_blocks
> ORGANIZE project_structure
> COMPRESS TO downloadable.zip
< One click. Zero manual typing. Infinite time saved.
QUEST COMPLETE. +190 XP. Item acquired: [Miner's Extraction Pick]
โถ QUEST 06 โ โ
THE CLOUD REALM [WeatherTrendsPipeline]
[weather_trends_pipeline.exe launched]
The skies hold data too โ if you know how to catch it.
> FETCH openweathermap::realtime_data
< Rain, wind, temperature โ all captured.
> TRANSFORM raw_weather_data
> SCHEDULE task USING cron_orchestration
> STORE TO s3_bucket
> RENDER dashboard IN quicksight
< The realm's weather, now fully predictable.
QUEST COMPLETE. +160 XP. Item acquired: [Cloud Walker's Cloak]
โถ QUEST 07 โ ๐ THE E-COMMERCE KINGDOM [CasaShop]
[casashop.exe launched]
A marketplace kingdom, scattered across microservices,
united by one clever trick: it understands what shoppers mean.
> SPLIT platform INTO independent_services
> DEPLOY api_layer USING flask + fastapi
> TRAIN nlp_engine ON product_catalog
> ENABLE smart_filtering(user_query)
< A shopper searches "cheap red shoes for running."
< The engine UNDERSTANDS. Results: perfect.
QUEST COMPLETE. +170 XP. Item acquired: [NLP Merchant's Compass]
โถ QUEST 08 โ ๐ฌ THE LAB [Audio-to-Image Research]
[research_lab.exe launched โ FINAL BOSS]
The strangest quest of all: teaching a machine to SEE sound.
> TRANSMUTE audio_waveform INTO rgb_image
> FEED image TO deep_convolutional_network
> TRAIN model ON speaker_dataset
< Accuracy achieved: 98%
< Paper accepted. PUBLISHED: arXiv:2503.05929
FINAL BOSS DEFEATED. +500 XP. Legendary title earned:
[Published Researcher]
$ echo "type 'help' for more commands"
> help
- contact.sh : reach out via email or LinkedIn
- resume.pdf : full stats & battle history
- hire_me.sh : recruiters, start here

