Hi there! 👋 I'm

Rahiq Rameez
Majeed

Software Engineer

Passionate about building scalable applications, implementing AI solutions, and creating exceptional user experiences. Currently pursuing MS in Computer Science at UMass Amherst with 3+ years of industry experience.

About Me

Rahiq Rameez Majeed

I'm a passionate Software Engineer with over 3 years of experience building scalable web applications, mobile solutions, and AI-powered systems. Currently pursuing my Master's in Computer Science at UMass Amherst.

My journey spans from developing interactive dashboards at Innovative Configuration to contributing to Mozilla Firefox, where I've impacted millions of users through innovative solutions and performance optimizations.

I specialize in full-stack development, AI/ML implementation, and creating exceptional user experiences that drive business growth and user engagement.

Years Experience
Users Impacted
Projects Completed
Technologies Mastered

Current Education

Master of Science in Computer Science
University of Massachusetts Amherst
Expected: May 2027 • Data Science Concentration

Previous Education

Bachelor of Science in Computer Science
California State University, Monterey Bay
May 2024 • Magna Cum Laude • GPA: 3.84

Professional Experience

Software Engineer

Innovative Configuration
June 2024 – Present
CA, USA
Full-time

Architected and shipped 5+ interactive dashboards using Next.js and TypeScript, resulting in 40% improved user engagement across 50,000+ monthly active users

Pioneered AI-powered chatbot integration using OpenAI API and LangChain, reducing customer support tickets by 20%

Led cross-platform mobile development using React Native, achieving 30% faster time-to-market

Optimized application performance, improving page load speeds by 45% based on 50,000+ user sessions

Collaborated with product and engineering teams to deliver 3 major feature releases on schedule, demonstrating strong cross-functional communication skills

Frontend Software Engineer

Mozilla Firefox
January 2024 – May 2024
CA, USA
Contract

Developed advertising solutions on AMO platform serving 2M+ monthly users, increasing Firefox downloads by 15%

Built responsive React components for banner ads, contributing to 25% increase in Mozilla product adoption

Spearheaded UI overhaul achieving 50% reduction in page load times and 30% improvement in user retention

Implemented advanced React hooks and state management for reusable component library

Technology/Writing Tutor

California State University Monterey Bay
August 2023 – May 2024
CA, USA
Part-time

Mentored 100+ students in software development, achieving 90% course completion rate improvement

Designed curriculum materials reducing average learning time by 25% through interactive teaching methods

Provided technical project guidance that contributed to an 85% student success rate in course completion and academic performance

Full-Stack Software Developer

Focal Works
February 2022 – October 2023
Mumbai, India
Full-time

Developed scalable web applications using React and Node.js, delivering 3 major releases serving 1,000+ enterprise clients

Architected REST API services with PostgreSQL, handling 10,000+ daily transactions with 99.9% uptime

Built authentication systems supporting multi-tenant architecture for 5,000+ concurrent users

Integrated OpenSea API for NFT marketplace functionality, processing $100,000+ in monthly transactions

Featured Projects

A showcase of my technical expertise across full-stack development, AI/ML implementation, and FinTech applications

QuantPredictPro
AI/ML

QuantPredictPro

Professional-grade stock price prediction platform leveraging machine learning and AI for real-time market analysis and trading simulation.

Key Features:

LSTM-based models with 82% accuracy in price trend forecasting

Real-time data visualization for 500+ stock symbols

Trading simulation with portfolio performance tracking

Responsive dashboard with interactive charts

Technologies Used:

Next.js
TypeScript
TailwindCSS
LSTM
TensorFlow
Supabase
Vercel
Multimodal Emotion & Gender Detection
AI/ML

Multimodal Emotion & Gender Detection

Advanced deep learning system for audio-based classification using CNN and RNN architectures with high accuracy rates.

Key Features:

87% emotion classification accuracy

98% gender detection accuracy

Optimized neural network design

Robust data preprocessing pipeline

Technologies Used:

Python
TensorFlow
Keras
CNN
RNN
RAVDESS
Jupyter
Enterprise Dashboard Suite
Full-Stack

Enterprise Dashboard Suite

Scalable web application suite built for enterprise clients with real-time analytics, user management, and API integrations.

Key Features:

Multi-tenant architecture for 5,000+ users

Real-time analytics and reporting

RESTful API with 99.9% uptime

Comprehensive testing with 85% coverage

Technologies Used:

React
Node.js
PostgreSQL
Express.js
Docker
AWS
FastPay - Expense Splitting App
FinTech

FastPay - Expense Splitting App

Progressive Web App that revolutionizes expense splitting with instant payments. Users can split bills and get paid instantly using Apple Pay, eliminating the hassle of chasing friends for money.

Key Features:

Instant bill splitting with real-time notifications

Apple Pay integration for contactless payments

Progressive Web App with offline capabilities

One-tap settlement between multiple users

Technologies Used:

Next.js
TypeScript
PWA
Apple Pay API
Push Notifications
Vercel

Technical Skills

A comprehensive overview of my technical expertise across various domains of software development

Python

95%

TypeScript

90%

JavaScript

92%

Java

85%

Go

75%

SQL

88%

C++

80%

Technical Expertise Summary

With over 3 years of hands-on experience, I've mastered a diverse tech stack spanning full-stack development, AI/ML implementation, and cloud architecture. My expertise enables me to build scalable, production-ready applications that serve thousands of users while maintaining high performance and reliability standards.

Get In Touch

Ready to bring your ideas to life? Let's discuss how we can work together to create something amazing.

Let's Connect

I'm always excited to discuss new opportunities, innovative projects, or just have a chat about technology. Feel free to reach out through any of the channels below.