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Zainab Shujat

Developer · Designer · Student

Available for opportunities

About

A student developer who cares about why something exists, not just how it looks. I build web applications with a focus on clarity and usability.

Finance tools designed to reduce anxiety. Emotional companion apps. Full-stack career platforms. What connects them is an interest in understanding who the product is for and what they actually need.

Tech Stack

Frontend: React, Next.js, TypeScript, Tailwind CSS
Backend: Node.js, Express, MongoDB, PostgreSQL
Tools: Git, Figma, VS Code

Contact

zainabshujatali@gmail.com
GitHub ·LinkedIn

Selected Work

Tools for Humans

CareerIQ

Clarity in career confusion

Built a full-stack MERN career recommendation platform combining psychometric analysis, skill assessments, and rule-based AI insights. Features include 24-question personality assessment, weighted career-matching algorithm, interactive insights dashboard, and secure JWT authentication. Fully deployed in production.

ReactNode.jsExpressMongoDBJWTREST APIs

Year: 2025

Status: Live

Worlds & Ideas

Notes From a B.Tech Brain

Thinking out loud

Built a fully functional, multi-page blog platform hosting 50+ newsletter editions. Features custom homepage with category sections, mobile-responsive design, optimized navigation for long-form content, and SEO-ready structure. Serves 13-15 average engagement users/day with 40k+ impressions.

HTMLCSSJavaScriptReactNext.jsVercel

Year: Sep 2025 - Dec 2025

Status: Live

Play & Experiment

Sentiment Analysis

Understanding what people feel

Analyzing customer reviews from Amazon and Flipkart using Naive Bayes algorithm and NLP preprocessing techniques (tokenization, TF-IDF). Processed thousands of data points from e-commerce datasets, achieving ~87% model accuracy validated through confusion matrix, precision, and recall metrics.

Project ManagementpandasPythonNLPMachine Learning

Year: Jul 2025 - Aug 2025

Status: Live

Tools for Humans

PennyPath

Finance without the shame

A simple, beginner-friendly personal finance web app built with Base44, designed to help students and freelancers track income, expenses, and goals without jargon or judgment. Features include plain-language categories, recurring rules, monthly summaries, goal setting, and CSV export.

Base44HTMLCSSJavaScriptReact

Year: May 2025 - Jun 2025

Status: Live

Tools for Humans

SibsLove

When you need someone to listen

Built with Base44. Originally created exclusively as a gift for my sister, SibsLove is a deeply personalized web app designed as a "digital hug" and supportive companion. Features include customizable onboarding quiz, journaling space, mood tracker, Pomodoro study corner, and playful comfort tabs.

ReactBase44UX DesignEmotional Design

Year: Aug 2025

Status: Live

Play & Experiment

Suika Lite

Learning through play

Drop fruits, watch them bounce, merge identical ones, and chase the biggest watermelon before the bowl overflows. Features realistic 2D physics (no engine shortcuts), merge chronology log, local high-score tracking, and clean overlays with custom fruit sprites. Built with Matter.js and p5.js.

Matter.jsp5.jsJavaScriptPhysics Engine

Year: Oct 2025

Status: Live

Experience

Knowledge Builder

Smartly Creators Program

Jan 2026 - Present

Remote

  • • Engaged with fellow tech creators, Topic Moderators, and Topic Lead by participating in reviews, challenges, and community activities
  • • Improved my content through structured feedback and best practices
  • • Contributed to GitHub and shared knowledge with the community
  • • Wrote and reviewed knowledge articles, shared best practices, and showcased contributions on GitHub
  • • Focused on security, structured content, and community visibility while improving overall content quality

Learn Git, GitHub, and content writing best practices. Showcase your contributions on GitHub and your resume.

Creator and Author

Notes From A B. Tech Brain · Self-employed

Apr 2025 - Present

India · Remote · 9 months

Building a multi-format writing platform focused on tech clarity, student finance, soft skills, and STEM girlhood

  • • Writing long-form and bite-sized reflections on AI/ML concepts, student life, career growth, and productivity
  • • Designing original newsletter banners, icons, and page visuals
  • • Managing a consistent posting schedule (daily/weekly) across LinkedIn and Medium
  • • Creating technical explainers on AI/ML topics with simplified diagrams and real-world parallels
  • • Developed and launched a dedicated LinkedIn Page in November 2025

Focus: Writing, Technical Communication, AI/ML Simplification, UX for Content, Visual Design, Personal Branding

Frontend Developer Intern

Unified Mentor · Internship

Oct 2025 - Jan 2026

Remote · 3 months

  • • Developing and optimizing responsive web components using the MERN stack, improving UI speed and load efficiency across test builds by ~25%
  • • Collaborating with mentors and peers on real-world client projects, following Agile sprints and Git-based version control
  • • Focused on implementing clean design systems, accessibility, and component reusability to enhance front-end performance

Freelance Web Developer

Freelance

Aug 2025 - Oct 2025

Uttar Pradesh, India · Remote · 3 months

  • • Designed and delivered custom web projects for student and creator clients using React, Matter.js, and p5.js, focusing on functionality and visual appeal
  • • Created interactive front-end prototypes, including a physics-based mini game and a portfolio site, improving client engagement and usability
  • • Managed end-to-end deployment, from concept to hosting, maintaining 100% on-time delivery across freelance projects
  • • Built client relations through iterative feedback loops, maintaining 5/5 satisfaction ratings on initial projects

Artificial Intelligence Intern

IBM · Internship

Jul 2025 - Aug 2025

Remote · 2 months

  • • Completed a sentiment analysis project analyzing product reviews using the Naive Bayes algorithm and NLP preprocessing techniques (tokenization, TF-IDF)
  • • Processed thousands of data points from e-commerce datasets to classify reviews as positive, neutral, or negative
  • • Achieved a model accuracy of ~87%, validated through confusion matrix, precision, and recall metrics
  • • Gained hands-on experience in machine learning pipelines, pandas data handling, and AI project documentation under IBM mentorship