learning-journey

🤖 My comprehensive learning journey through OpenAI Agents SDK - from basics to production-ready applications. Learning by teaching, building by doing. Inspired by expert educational resources, enhanced with personal insights and practical projects.

🤖 A public day-by-day AI/ML learning journey — from Python basics to AI Engineer. Notes, code, projects and roadmap all in one place!

This repository is dedicated to my learning journey through the LangChain & Vector Databases in Production course offered by Activeloop. The course is part of the Gen AI 360 Foundational Model Certification and focuses on mastering Large Language Models (LLMs) and Vector Databases.

A structured collection of my Python learning journey, competitive programming solutions, and continuous coding practice.

A curated collection of Python games and educational programs demonstrating fundamental programming concepts learned through Stanford's Code in Place 2025 curriculum.

The goal here was to build more than just a script; it was to architect a reusable, well-designed toolkit. I applied software engineering principles to create a modular, object-oriented library for RealSense, featuring object detection and coordinate transformations.

A camera calibration process using chessboard patterns, I learned to calculate camera intrinsics and distortion models, then applied them to achieve accurate 3D pose estimation in both offline and real-time applications.

A structured, beginner-friendly repository documenting my Python learning journey through the CodeWithHarry course. Includes comprehensive notes, practical code examples, exercises, and mini-projects covering everything from core fundamentals to Object-Oriented Programming (OOP).

A foundational dive into 3D vision, this project served as my hands-on introduction to processing point clouds with Open3D. I focused on core skills like plane detection, segmentation, and understanding 3D transformations from the ground up.

A comprehensive repository tracking my daily Python coding journey, from core fundamentals to advanced full-stack concepts,.

From gradient descent to a micro-LLM — my documented AI engineering journey as an Obsidian second brain. Python, PyTorch, Transformers, and a decoder-only LLM built from scratch.

Terminal Based Calculator & Rock Paper Scissors Game

This project was developed as part of my hands-on learning journey into computer vision and robotics. It represents my exploration and implementation of Intel RealSense depth camera functionalities, including calibration, stream processing, background removal, and 3D point cloud visualization using Python and OpenCV.

Daily Python practice through 100 Days of Code — fundamentals, automation, mini-projects.

Türkiye Yapay Zeka Akademisi Python eğitimleri, uygulamalar, kişisel notlar ve öğrenme projelerimi belgelediğim çalışma deposu.

My 6 months Cloud Engineering Journey Daily Logs, projects, notes

This project focused on building a robust, practical utility for sensor data acquisition. I developed a configurable application to manage Intel RealSense cameras, handle multiple data streams, and control hardware features like the IR laser emitter.

This collection was my sandbox for mastering the fundamentals. I implemented core computer vision algorithms from scratch, structuring them modularly to practice OOP principles and build a library of reusable components for tasks like stereo vision.

Hands-on OpenCV practice repository covering image processing, computer vision fundamentals, and real-time applications.

My 90-day journey learning Python and Data Structures & Algorithms — one commit at a time.