class DataScientist:
def __init__(self):
self.name = "MAKaminski"
self.role = "Data Scientist & ML Engineer"
self.passions = ["Machine Learning", "Data Engineering", "Full-Stack Development", "iOS Development"]
self.current_focus = "Building AI-powered solutions"
self.favorite_ide = "Cursor AI" # π₯ The future of coding!
self.experience = {
"enterprise": ["FuboTV - tvOS Engineering Manager", "Stationhead - Lead iOS Developer"],
"innovation": ["Sonad - FFT/DSP Audio Processing", "Veil of Ignorance - Strategy Game"],
"social_impact": ["Spotfund - Micro-donations Platform", "Parkarr - Community Parking"]
}
def say_hi(self):
print("Thanks for dropping by! Let's build something amazing together! π")
print(f"Coding with {self.favorite_ide} - where AI meets development! β¨")
me = DataScientist()
me.say_hi()
π Currently working on: AI/ML projects that make a real-world impact
π± Learning: Advanced MLOps, LLM fine-tuning, and distributed systems
π‘ Ask me about: Data science, machine learning, Python, iOS development, or any cool tech!
β‘ Fun fact: I can speak fluent SQL to databases and Python to computers
π΅ Currently listening to:
π Latest Project System memory optimization and monitoring |
FuboTV (Sep 2018 - Present) Senior Engineering Manager & Tech Lead  Sports-first virtual MVPD platform |
Stationhead (Aug 2017 - Aug 2018) Lead iOS Developer  Real-time social radio platform |
Sonad Developer, Co-designer, Database Architect   Shazam meets RetailMeNot using FFT/DSP |
Veil of Ignorance All Roles   Political philosophy strategy game |
Parkarr Developer, Co-designer, Database Architect   Fast Company 2017 World Changing Ideas Finalist |
Spotfund (Mar 2016 - Nov 2016) Lead Developer  Democratizing giving with $1-3 cap donations |
Welli (Sep 2015 - Oct 2015) All Roles   Positive psychology tools suite |
Data science exploration and analysis |
Automated icon generation utility |
graph TD
A[MAKaminski] --> B[Data Science & ML]
A --> C[Full-Stack Development]
A --> D[Mobile Development]
A --> E[Enterprise Solutions]
B --> B1[Python/TensorFlow]
B --> B2[MLOps/MLflow]
B --> B3[LLMs/Transformers]
B --> B4[FFT/DSP]
C --> C1[React/Redux/Vue]
C --> C2[Node.js/Python]
C --> C3[AWS/GCP/Azure]
C --> C4[PostgreSQL/MongoDB]
D --> D1[iOS/Swift]
D --> D2[tvOS Development]
D --> D3[Android/Cross-platform]
D --> D4[Real-time Apps]
E --> E1[Team Leadership]
E --> E2[Architecture Design]
E --> E3[Performance Optimization]
E --> E4[Scalable Systems]
style A fill:#9400D3,stroke:#333,stroke-width:4px,color:#fff
style B fill:#FF6F00,stroke:#333,stroke-width:2px
style C fill:#4285F4,stroke:#333,stroke-width:2px
style D fill:#34A853,stroke:#333,stroke-width:2px
style E fill:#EA4335,stroke:#333,stroke-width:2px
Phase | Focus | Tools |
---|---|---|
π― Planning | Requirements & Architecture | Cursor AI, Miro, Figma |
π Development | Clean Code & Best Practices | Cursor AI, Git, Docker |
π§ͺ Testing | Quality Assurance | Jest, PyTest, XCTest |
π Analytics | Data-Driven Decisions | ML/AI, A/B Testing |
π Optimization | Performance & Scalability | Profiling, Monitoring |