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blackms/README.md

Hi there, I'm Alessio


🌍 About Me

  • πŸ€– MLβ€―Solutions Architect & Startup Founder
    Former Seniorβ€―Cloudβ€―Solutionβ€―Architect at VMware, where I supported 150+ cloud partners across Italy.β€―
  • πŸ“ˆ Founder, NeuralTrading.group (2018‑present) β€” building ML‑driven crypto/FX/stock strategies.
  • πŸ’Ό Co-Founder & Lead Engineer, Aigen Solutions SRL - Leading technical development and strategy at a company focused on advanced AI/ML solutions.
  • πŸ”­ Currently shipping SpreadPilot & AlphaPulse, open‑source platforms for quantitative trading.
  • πŸ§‘β€πŸŽ“ B.Sc. Computer Science, Universityβ€―ofβ€―MilanΒ (2014).
  • πŸ§‘β€πŸŽ“ MSc in Applied Artificial Intelligence, Stanford (2024).
  • πŸ“£ Frequent speaker & mentor on cloud‑native, MLOps and DevOps.
  • πŸ¦‰ Night‑owl coderΒ |Β πŸ” Weekend alpine hiker.
  • 🌱 Learning Rust & distributed systems.
  • πŸ’¬ Ask me about backend architecture, Python, Kubernetes, or trading algorithms.
  • πŸ“« Reach me: alessio@aigenconsult.com

🏒 Professional Snapshot

Year Role Company / Project
2025‑present Founder & Lead Engineer AIgen Solutions s.r.l.
2018‑present Founder & Lead Engineer NeuralTrading LTD
2023‑present Creator and Active Mantainer OSS Project AlphaPulse
2017‑2024 Staff Solution Architect VMware
2009‑2017 Cloud / R&D Engineer Dada β†’ Trii β†’ Aruba

🧩 Tech Toolbox


πŸ—Ί Product & Architecture Highlights

  • πŸ—‚ Domain‑Driven Design (DDD) and event‑driven micro‑services for high‑scalability SaaS.
  • ☸️ Operated & optimised Kubernetes clusters (Tanzu/GKE/EKS) up to 50+ nodes, 500+ pods.
  • βš™οΈ Built CI/CD pipelines with GitHub Actions, GitLab CI/CD, ArgoCD, automating infra via Terraform & Ansible.
  • πŸ“Š Designed data pipelines on Kafka, PostgreSQL, ClickHouse, streaming 1β€―M+ msgs/day.
  • πŸš€ Full product lifecycle: ideation β†’ MVP β†’ GA β†’ growth; backlog & KPI‑driven roadmap ownership.
  • πŸ‘₯ Led cross‑functional squads (5‑8 engineers) and mentored junior devs on clean code & agile.
  • πŸ“ˆ Evangelised cloud‑native & DevOps best practices at conferences and internal workshops.

πŸ“ˆ GitHub Stats

GitHub Stats


⏰ Weekly Coding Breakdown (via WakaTime)

Code Time

Profile Views

Lines of code

🐱 My GitHub Data

πŸ“¦ 371.0 kB Used in GitHub's Storage

πŸ† 470 Contributions in the Year 2026

🚫 Not Opted to Hire

πŸ“œ 14 Public Repositories

πŸ”‘ 31 Private Repositories

I'm an Early 🐀

🌞 Morning                22299 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–‘   22.77 % 
πŸŒ† Daytime                33833 commits       β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   34.55 % 
πŸŒƒ Evening                30847 commits       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–‘   31.50 % 
πŸŒ™ Night                  10950 commits       β–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   11.18 % 

πŸ“… I'm Most Productive on Friday

Monday                   15435 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–‘   15.76 % 
Tuesday                  14303 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–‘   14.61 % 
Wednesday                13934 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–‘   14.23 % 
Thursday                 10902 commits       β–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   11.13 % 
Friday                   16699 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–‘   17.05 % 
Saturday                 13753 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–‘   14.04 % 
Sunday                   12903 commits       β–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   13.18 % 

πŸ“Š This Week I Spent My Time On

πŸ•‘οΈŽ Time Zone: Europe/Rome

πŸ’¬ Programming Languages: 
No Activity Tracked This Week

πŸ”₯ Editors: 
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πŸ±β€πŸ’» Projects: 
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πŸ’» Operating System: 
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I Mostly Code in Python

Python                   44 repos            β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   58.67 % 
TypeScript               13 repos            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–‘   17.33 % 
JavaScript               6 repos             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–‘   08.00 % 
HTML                     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–‘   04.00 % 
PHP                      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–‘   01.33 % 

Timeline

Lines of Code chart

Last Updated on 11/01/2026 18:59:47 UTC


β˜•οΈ Support

If my work helped you, consider buying me a coffee πŸ™

Pinned Loading

  1. AIgen-Solutions-s-r-l/BofhContract AIgen-Solutions-s-r-l/BofhContract Public

    BofhContract implements a sophisticated arbitrage system for decentralized exchanges (DEX) using advanced mathematical principles, MEV protection mechanisms, and deflationary token support.

    HTML 3

  2. AIgen-Solutions-s-r-l/Analyzer AIgen-Solutions-s-r-l/Analyzer Public

    A powerful blockchain analysis tool built with Clean Architecture principles in .NET Core, designed for real-time monitoring and analysis of blockchain activities.

    C# 1

  3. AIgen-Solutions-s-r-l/SpreadPilot AIgen-Solutions-s-r-l/SpreadPilot Public

    SpreadPilot is a modern microservices-based trading platform designed for scalable and reliable options trading automation. Built with Python, PostgreSQL, and cloud-native technologies.

    Python 1

  4. AIgen-Solutions-s-r-l/HedgeLock AIgen-Solutions-s-r-l/HedgeLock Public

    Decentralized loan monitoring and management system with automated liquidation protection

    Python

  5. AIgen-Solutions-s-r-l/HRLForLiving AIgen-Solutions-s-r-l/HRLForLiving Public

    A hierarchical reinforcement learning (HRL) system that simulates and learns to optimally allocate monthly salary among investments, savings, and discretionary spending. The system aims to maximize…

    Python