⚡ Focus: AI/ML Integration • Embedded Systems • PCB Designing • Signal Processing

Engineering at the Intersection of Hardware & Intelligence

Venura Shiromal

Electrical Engineering Undergraduate 🎓 University of Moratuwa

"Currently learning PCB design, circuit synthesis, and machine learning
working toward building smarter, integrated hardware systems."

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Tools & Technologies

The languages, frameworks, and hardware tools I work with daily.

💻 Programming Languages

Python C# C++ LaTeX

🔌 Hardware & PCB Design

Altium Designer LTspice Oscilloscopes

🧠 AI & Machine Learning

PyTorch Keras TensorFlow scikit-learn

⚙️ Embedded Systems

Arduino ESP32 Solidworks

📊 Signal Processing & Simulation

MATLAB Simulink Digital Filters FFT

🔧 Dev & Collaboration

Git GitHub VS Code Jupyter

Featured Projects

A selection of projects I've designed, built, and deployed.

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Certificates & Courses

Continuous learning is the key to innovation. Here are some courses I've completed.

🔮 ✅ Completed

Supervised Machine Learning: Regression and Classification

DeepLearning.AI

Developed supervised machine learning models using Python, NumPy, and scikit-learn. Implemented linear regression for prediction and logistic regression for binary classification.

📅 Issued: 2025 AI/ML
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🧠 ✅ Completed

Advanced Learning Algorithms

DeepLearning.AI

Built and trained neural networks with TensorFlow for multi-class classification, applied best practices for model generalization, and implemented decision trees, random forests, and boosted tree ensembles.

📅 Issued: 2025 AI/ML
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📊 ✅ Completed

Unsupervised Learning, Recommenders, Reinforcement Learning

DeepLearning.AI

Applied unsupervised learning (clustering & anomaly detection), built recommender systems (collaborative filtering & content-based deep learning), and developed deep reinforcement learning models.

📅 Issued: 2025 AI/ML
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Let's Connect

Have a project in mind, a question about my work, or just want to chat about hardware and AI? I'd love to hear from you.

Or reach me directly at: