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Building
Intelligent
Systems

Hello! I'm [Name], an AI/ML Engineer turning data into decisions. I specialize in crafting robust NLP models and scalable computer vision pipelines that solve real-world problems.

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MODEL STATUS 98.2% ACC

Training: Neural Network v6

Years Exp.

20+

Models Live

Publications

100%

Commitment

My Tech Stack

I leverage a comprehensive suite of modern tools to build scalable, production-ready AI solutions. From data engineering to model deployment.

⚙️

Machine Learning

Scikit-learn, XGBoost, CatBoost

🟣

Deep Learning

PyTorch, TensorFlow, Keras

💠

Data Engineering

Spark, Airflow, SQL

☁️

MLOps

Docker, K8s, SageMaker

Toolbox

🐍 Python 🔥 PyTorch 🧠 TensorFlow 🐳 Docker ☁️ AWS SageMaker 🐘 PostgreSQL

Terminal

➜ ~ python train_model.py

Epoch 1/50: 100% [================] - loss: 0.1345 - acc: 0.9450

Epoch 2/50: 100% [================] - loss: 0.0912 - acc: 0.9632

Epoch 3/50: 100% [================] - loss: 0.0523 - acc: 0.9841

Behind the Code

About me, my background, and my philosophy.

user@[Name]:~/about

➜ ~ whoami

I am a Technologist Creative obsessed with the intersection of Computer Science and Sensory Inputs. My mission is to build intelligent systems that extend human capabilities, not replace them.

➜ ~ cat philosophy.txt

I believe that the best AI is invisible—seamlessly integrated, data-resilient, and solving problems without friction. When I'm not coding or pushing weights, I'm experimenting with new recipes or hiking.

➜ ~ ls -la ./contact-info

rw-r--r-- email.json rwx------ linkedin.link rwx------ resume.pdf

➜ ~

Selected Works

Deploying state-of-the-art models to solve real-world problems.

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Python YOLOv8 OpenCV

Autonomous Traffic Analysis

Real-time object detection system built with YOLOv8 and PyTorch. Processes video feeds to classify vehicles and pedestrians with 99% accuracy in varied lighting conditions.

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