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Booting neural cores

01

Skills & Craft

The tools behind work that consistently outperforms expectations.

01

Python Programming

Clean, confident code with Pandas and NumPy — algorithms that power real AI systems.

PythonPandasNumPy
02

Machine Learning

Predictive models in Scikit-Learn — accurate, trusted, and ready for real decisions.

Scikit-LearnRegressionClassification
03

Data Analysis

Signal from noise — cleaning, visualization, and insight anyone can act on.

EDAMatplotlibSeaborn
04

AI Research & Gen AI

Generative AI, agents, and LLMs — tracking research with hands-on builds.

LLMsAgentsRAG
02

Project Constellation

Fourteen builds across ML, data, and generative AI — each one a star in the system. Keep scrolling to travel through them.

01

Python

Predictive ML Model

Regression pipeline with Scikit-Learn — forecast KPIs from historical features.

PythonScikit-Learn
02

Data

Exploratory Data Analysis

Full EDA with Matplotlib & Seaborn — patterns surfaced for stakeholders.

PandasSQLViz
03

AI

NLP Sentiment Classifier

Text classification on reviews — TF-IDF plus linear models.

NLPML
04

AI

Computer Vision Demo

Image classification prototype with transfer learning.

CVDeep Learning
05

AI

RAG Knowledge Bot

Retrieval-augmented Q&A over custom documents.

LLMRAG
06

Python

Time Series Forecast

Seasonal demand forecasting with validation splits.

StatsML
07

Data

Recommendation Engine

Collaborative filtering for content suggestions.

RecSysDB
08

Python

Anomaly Detection

Isolation Forest on sensor streams for early alerts.

Unsupervised
09

AI

Gen AI Agents Lab

Multi-step agents inspired by Microsoft generative AI coursework.

AgentsLLMs
10

Data

Data Pipeline ETL

Clean ingest, transform, and export for analytics teams.

ETLPython
11

Open Source

MLOps Sketch

Model packaging, metrics, and repeatable train scripts.

GitHubMLOps
12

Experiment

Fine-tuned LLM Experiment

Prompt tuning and evaluation on domain Q&A.

VS CodeGen AI
13

Frontend

ML Dashboard UI

React interface for live model metrics and experiment tracking.

ReactAPI
14

Open Source

Neural Net from Scratch

NumPy-only MLP for intuition and teaching.

GitHubNumPy
04

Certificates & Credentials

Formal training across cloud AI, ML, data, and networking foundations. Tap any card to view it.

The one they remember

Sharp mind.
Zero noise.

PrecisionModels built so clean people trust them on the first read.
SignalHe finds the pattern everyone else scrolls past.
PresenceAlready working at a level most people only study.
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Let's Talk

If the work needs someone exceptional, this is the conversation to start.