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redshift-quasar/README.md

Hi, I'm Redshifted

B.Tech CSE Student | ML/AI Explorer | Problem Solver

Typing SVG


About Me

I'm a B.Tech Computer Science and Engineering student at PES University, currently focusing on Machine Learning, Artificial Intelligence, Data Structures & Algorithms, and core Computer Science.

I enjoy understanding concepts from the fundamentals, building practical solutions, and learning through experimentation.

  • B.Tech Computer Science and Engineering student
  • Exploring Machine Learning and Artificial Intelligence
  • Strengthening Data Structures and Algorithms
  • Learning Python for Machine Learning
  • Exploring C and systems-level programming
  • Interested in mathematics, data, and intelligent systems
  • Interested in open-source development
  • Focused on writing clean, efficient, and maintainable code

Tech Stack

Languages

Machine Learning and Data

Machine Learning   ·   DSA   ·   Computer Science

Tools and Environment


Currently Learning

Machine Learning
  • Machine Learning fundamentals
  • Supervised and unsupervised learning
  • Feature engineering
  • Model evaluation
  • Python for Machine Learning
  • Mathematics behind Machine Learning
  • Data analysis and visualization
  • Deep Learning and modern AI systems
Data Structures and Algorithms
  • Arrays and Strings
  • Searching and Sorting
  • Two Pointer techniques
  • Hash Maps
  • Linked Lists
  • Stacks and Queues
  • Trees
  • Graphs
  • Dynamic Programming
  • Problem solving through LeetCode
Computer Science
  • C programming
  • Pointers and memory management
  • Data structures
  • Operating Systems
  • Computer Networks
  • Digital Logic
  • Software Engineering fundamentals
  • Linux

Goals

  • Build a strong foundation in Machine Learning and Artificial Intelligence
  • Become highly proficient in Data Structures and Algorithms
  • Understand the mathematics and intuition behind Machine Learning
  • Build meaningful Machine Learning projects from scratch
  • Experiment with different Machine Learning and AI approaches
  • Contribute to meaningful open-source projects
  • Strengthen software engineering and Computer Science fundamentals
  • Continue learning, experimenting, and building

Problem Solving

  

Currently focusing on understanding problem-solving patterns and underlying concepts, rather than simply increasing the number of solved problems.


Areas of Interest

Machine Learning   •   Artificial Intelligence   •   Data Structures   •   Algorithms   •   Computer Science   •   Linux   •   Open Source


Connect

GitHub          LinkedIn

Learning. Building. Improving.


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