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lorainemg/README.md

Hey there

πŸ‘©β€πŸ’» About me:

I build scalable, user-friendly applications using Python, FastAPI, Vue, and SQL. With hands-on experience in both backend and frontend, I enjoy automating complex workflows with machine learning, enhancing system performance, and making data-driven products smoother and smarter.

πŸ’‘ I have experience optimizing performance, building real-time data solutions, and creating tools that make complex processes seamless. I’ve developed smart IoT platforms, internal dashboards, and machine learning tools across startups and academia, focusing on scalable, user-centric systems. Previously, I’ve built smart IoT platforms, internal dashboards, and machine learning tools across startups and academia. Whether it’s optimizing performance, deploying with Docker and GitHub Actions, or diving into data with TensorFlow or Scikit-learn, I enjoy making tech that works cleanly and efficiently.

πŸŽ“ Background in AI & NLP from the University of Havana, where I taught and mentored ML projects. πŸ“œ Certified Associate Data Scientist from DataCamp.

πŸ˜„ I enjoy πŸ’»coding, πŸ“šlearning and βš—οΈresearching.

πŸ“« Let's connect: LinkedIn Β· Portfolio Β· Email


πŸ› οΈ Languages and Tools :

PythonΒ  CSharpΒ  JavaScriptΒ  TypescriptΒ  HTML5Β  DockerΒ  VueΒ  SvelteΒ  TailwindΒ  PandasΒ  PostgreSQLΒ  MySQLΒ  MongoDBΒ  RedisΒ  SQLAlchemyΒ  PytestΒ  PlaywrightΒ  nodejsΒ  linuxΒ  JupyterΒ  FlaskΒ  FastapiΒ  DjangoΒ  DotNETΒ  AWSΒ  HerokuΒ  DigitalOceanΒ  bashΒ  AnacondaΒ 

πŸ”₯ My Stats:

GitHub Streak

Code Time

AI Code Time

🐱 My GitHub Data

πŸ“¦ 177.0 kB Used in GitHub's Storage

πŸ† 1,367 Contributions in the Year 2026

🚫 Not Opted to Hire

πŸ“œ 46 Public Repositories

πŸ”‘ 9 Private Repositories

I'm an Early 🐀

🌞 Morning                32111 commits       β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   25.59 % 
πŸŒ† Daytime                71453 commits       β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   56.93 % 
πŸŒƒ Evening                20101 commits       β–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   16.02 % 
πŸŒ™ Night                  1835 commits        β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   01.46 % 

πŸ“… I'm Most Productive on Monday

Monday                   23287 commits       β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   18.56 % 
Tuesday                  22253 commits       β–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   17.73 % 
Wednesday                21354 commits       β–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   17.02 % 
Thursday                 21566 commits       β–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   17.18 % 
Friday                   19885 commits       β–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   15.84 % 
Saturday                 7571 commits        β–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   06.03 % 
Sunday                   9584 commits        β–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   07.64 % 

πŸ“Š This Week I Spent My Time On

πŸ’¬ Programming Languages: 
Svelte                   7 hrs 54 mins       β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   33.97 % 
Markdown                 4 hrs 2 mins        β–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   17.34 % 
Python                   3 hrs 40 mins       β–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   15.76 % 
TypeScript               3 hrs 19 mins       β–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   14.31 % 
Other                    1 hr 6 mins         β–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   04.73 % 

πŸ€– AI Coding This Week

⏱ AI Coding Time: 22 hrs 10 mins (95.2%)

✍️ 7,416 lines written by AI, 5 lines written by hand (99.93% AI-written)

πŸ”€ 13,704,328 Input Tokens, 1,427,941 Output Tokens

πŸ’΅ $507.77 Estimated AI Cost This Week

🧠 42 AI Sessions, 264 AI Prompts

Fable                    7,078 lines         β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘   92.19 % 
Opus                     600 lines           β–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   07.81 % 
Sonnet                   0 lines             β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   00.00 % 
Claude-Code              0 lines             β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   00.00 % 
Haiku                    0 lines             β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   00.00 % 

πŸ”Ž AI Coding Insights:
πŸ€– AI-Driven β€” 99.93% of written lines came from AI
πŸ“š Verbose Prompter β€” average 1,722 characters per prompt
πŸ” Iterative Prompter β€” average 6 prompts per session
πŸš€ High AI Trust β€” 0.22% of changed lines were hand-edited

I Mostly Code in Python

Shell                    3 repos             β–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   04.76 % 
HTML                     2 repos             β–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   03.17 % 
QML                      1 repo              β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   01.59 % 
C++                      1 repo              β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   01.59 % 
Go                       1 repo              β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   01.59 % 

Last Updated on 17/08/2026 08:23:53 UTC

πŸ’» Check Out My Repos ⬇️

Pinned Loading

  1. traktv-tg-bot traktv-tg-bot Public

    Telegram bot written in Go that monitors Trakt.tv for new episodes, sends notifications with streaming links and watch tracking to group chats, using a channel-based worker pattern and PostgreSQL s…

    Go 1

  2. cool-compiler-2020 cool-compiler-2020 Public

    Forked from matcom/cool-compiler-2020

    Proyecto base para el compilador de 4to aΓ±o en Ciencia de la ComputaciΓ³n.

    Python 2

  3. information-retrieval-system information-retrieval-system Public

    Implementation of an Information Retrieval System based on the Vector Information Retrieval Model.

    Python 5

  4. eHealthKD-competition eHealthKD-competition Public

    UH-MMM submission for the eHealth-KD Challange.

    Python 2

  5. Household-Analysis Household-Analysis Public

    Statistics project on the analysis of the household dataset.

    R 1

  6. EEstevanell/LawAnalyzer EEstevanell/LawAnalyzer Public

    Python 2