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Data Scientist • Infrastructure Architect • Thermodynamics Whisperer
# Core competencies organized by abstraction layer
# (because everything is just functions and state machines, right?)
from foundations.chemical_engineering import (
thermodynamics, # ΔG = ΔH - TΔS
mass_transfer, # Fick's law enthusiast
reaction_kinetics, # r = k[A]ⁿ
process_design, # optimization under constraints
)
from data.intelligence import (
transformers, # attention is all you need
llms, # OpenAI, Anthropic, llama.cpp
rag_systems, # retrieval-augmented generation
prompt_engineering, # the art of asking nicely
)
from data.modeling import (
catboost, # gradient boosting done right
scikit_learn, # the classics never die
scipy, # when you need the math to math
feature_engineering, # 80% of the work, 100% of the value
)
from infrastructure.backend import (
fastapi, # async Python at its finest
pydantic, # runtime validation FTW
auth, # JWT, OAuth2, the usual suspects
docker, # containers > VMs (fight me)
)
from infrastructure.data import (
etl_pipelines, # extract, transform, load, repeat
cloud, # AWS, GCP - multi-cloud polyglot
cicd, # ship it 🚢
monitoring, # if it's not logged, it didn't happen
)
from visualization import (
plotly, # interactive > static
matplotlib, # for when you need full control
seaborn, # because aesthetics matter
dashboards, # ipywidgets + FastAPI = ✨
)
from business import (
strategy, # translate tech → value
forecasting, # revenue models, Monte Carlo
stakeholder_mgmt, # the hardest distributed system
fundraising, # helped close $10M+ rounds
)
# The meta-imports (how we build systems)
from engineering import (
systems_thinking, # feedback loops everywhere
first_principles, # question the defaults
rapid_prototyping, # move fast, learn faster
documentation, # future you will thank you
)
╔════════════════════════════════════════════════════════════════════╗
║ ♫ THE QUEUE ♪ ║
║ [ Now Playing: Funk & Soul Equilibrium ] ║
╚════════════════════════════════════════════════════════════════════╝
┌─────────────────────────────────────────────────────────┐
│ ●●●●●●●●○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○○ 3:47 / 7:23 │
└─────────────────────────────────────────────────────────┘
┌──────────────────────────────────────────────────────────────────┐
│ PHASE I: Groove Catalysts │
│ [High Energy → Product: Movement] │
└──────────────────────────────────────────────────────────────────┘
▶ 01 Sly and the Family Stone │ ███████████░ Funk
"There's a Riot Goin' On" │ Entropy: MAX
▶ 02 D'Angelo and the Vanguard │ ██████████░░ Neo-Soul
"Black Messiah" │ Depth: ∞
▶ 03 Janelle Monáe │ █████████░░░ Afrofuturism
"The ArchAndroid" │ Innovation: ★★★★★
┌──────────────────────────────────────────────────────────────────┐
│ PHASE II: Frequency Modulators │
│ [Electronic → Analog Synthesis] │
└──────────────────────────────────────────────────────────────────┘
▶ 04 Kaytranada │ ████████░░░░ Electronic
"99.9%" │ BPM: Variable
▶ 05 Talking Heads │ ██████████░░ Art Punk
"Remain in Light" │ Weirdness: ✓✓✓
┌──────────────────────────────────────────────────────────────────┐
│ PHASE III: Sonic Alchemists │
│ [Raw Elements → Transmutation] │
└──────────────────────────────────────────────────────────────────┘
▶ 06 Led Zeppelin │ ████████████ Rock
"Physical Graffiti" │ Power: 🔥🔥🔥
▶ 07 Jon Batiste │ ███████████░ Jazz/Soul
"We Are" │ Joy: Abundant
▶ 08 Medeski Martin & Wood │ █████████░░░ Jazz Fusion
"Combustication" │ Improv: ∞
│ (literally combustion!)
┌──────────────────────────────────────────────────────────────────┐
│ │
│ ∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿ │
│ ∿ Chemical Equation: ∿ │
│ ∿∿ Groove + Soul + Innovation → Creative Catalyst ∿∿ │
│ ∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿∿ │
│ │
└──────────────────────────────────────────────────────────────────┘
[■] Stop [▶] Play [⏭] Next [🔀] Shuffle [🔁] Loop
♪ Curated for optimal thermodynamic vibes ♫
links = {
"linkedin": "https://linkedin.com/in/nicholas-grundl",
"website": "https://nicholasgrundl.com",
"email": "[email protected]", # Add your email
# Add more as needed
}
# Or reach out if you want to talk about:
interests = [
"data infrastructure at scale",
"ML in biotech/climate tech",
"technoeconomic modeling",
"the thermodynamics of everything",
"why CatBoost > XGBoost (controversial take)",
"how to make scientists love Python",
]"Conservation of mass, conservation of energy, conservation of awesome."