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Ashiqur Rahman Sayem

@ar-sayem:~$

Computer Science Undergraduate

< Data Science > < ML > < Systems >

Week 2/44: FAANG Prep Journey
GitHub Resume

Projects

Journey

Feb 9, 2026 - Present
Week 2: Stacks & LIFO Operations

Implementing stack data structure from scratch, solving parentheses matching problems, and building a text editor with undo/redo using dual-stack architecture. Target: 7 LeetCode problems + Mini Project.

In Progress
Feb 2-8, 2026
Week 1 Complete: Arrays & Fundamentals

Completed 16 array exercises covering traversal, manipulation, and sorting. Solved 7 LeetCode problems (two-pointer, prefix sum). Built Student Grade Manager with CRUD operations, validation, and statistics calculation.

✓ 7 LC • 1 Project
Jan 2026
Launched 11-Month FAANG Prep Journey

Started systematic preparation roadmap: 44 weeks, 6 phases, 300+ LeetCode target. Covers DSA fundamentals → advanced algorithms → system design. Commitment: 4-5 hours daily with weekly mini-projects.

Active • Phase 1/6
Jan 2026
Advanced Content Tracker

Built a Linux daemon with ML integration using CLIP, NudeNet, and Tesseract. First major project combining systems programming with machine learning for productivity tracking.

Python • Linux • ML
Dec 2025
Fundamental Rebuild Decision

Identified gaps in CS fundamentals. Chose to pause feature development and commit to mastering core concepts from first principles with a structured, time-bound plan.

Pivot
2024
Built Array Operations from Scratch

Manually implemented insertion, deletion, searching, and sorting to understand memory behavior, element shifting costs, and Big O complexity in practice.

Python • DSA
2023
Started CS Degree

Began Computer Science undergraduate studies. Foundation in programming fundamentals, OOP, and data structures.

University

About

CS undergraduate executing an 11-month FAANG preparation roadmap. Focused on systematic mastery of data structures, algorithms, and programming fundamentals through weekly projects and daily problem-solving.

Primary interest in data-focused roles: Data Science, ML Engineering, and Analytics Engineering - building models, analyzing datasets, and creating data pipelines. Also open to Software Engineering roles involving data systems, ML infrastructure, or developer tools.

Believe in understanding mechanics before optimization and learning through building. Interested in privacy-first architectures and systems that solve real problems.

Current Goal: Seeking Summer 2026 internship in Data Science, ML Engineering, Analytics Engineering, or Software Engineering at companies working on impactful data-driven products.

What I value:

  • — Understanding mechanics before optimization
  • — Building from scratch to expose complexity
  • — Consistent weekly progress over cramming
  • — Privacy-first, local-first architectures

Skills

Languages

Python C C++ SQL

Core CS

DSA OOP DBMS Recursion Algorithms

Tools

Git Linux GitHub VS Code Bash

Data Structures

Arrays Stacks Queues Linked Lists Hash Tables