Great score on Implement LRU Cache Algorithm, Difficulty Medium
Great score on Real-Time Dashboard in React, Difficulty Easy
Worked as solo engineer on 8-year-old legacy retail management system
Designed automated credit/returns filing workflows and built consolidated media download functionality
Resolved critical bugs and performance issues through ticket-based workflow
Optimized queries on 520K+ records, reducing response times by 90% (10–15s to 2–3s) via caching, parallel execution, and async processing.
Implemented custom RBAC and intuitive visualizations.
Developed frontend for review analytics platform with 80M+ business reviews across Australia/New Zealand.
Built advanced visualizations, geospatial maps, and trend analysis using Apache ECharts.
Built scalable AI voice agent management platform
Integrated Bland.ai APIs for automated voice calling with transcript processing and analytics
Developed backend services for reservations, events, subscriptions, and payments.
Implemented real-time chat, notifications, and live updates using Socket.io
Built semantic job-to-resume matching system leveraging AI-based text similarity.
Developed full-stack features with Node.js, MySQL, and role-based access control in Next.js
Developed multi-role education platform supporting students, teachers, and administrators.
Implemented auto-graded exams and performance analysis to identify weak learning areas.
Refactored MERN stack applications to improve performance, scalability, and code maintainability
Built reusable React component libraries for internal development teams
Analytics Platform for Cashpoints (a customer referral program) that processes over 900K transactional records. The platform provides deep insights into transaction data, enabling the Cashpoints team to make better, data driven decisions for improving and optimizing the program. Built using ReactJs, FastAPI, Snowflake (for data fetching) and apache Echarts.







Reviews Analytics Platform that processes over 8 million Google reviews across the New Zealand and Australian markets. The platform provides sentiment analysis, competitor benchmarking, and actionable insights for brands, enabling them to understand customer feedback, identify opportunities, and improve their business strategies. Currently, 40+ brands are using the platform to make data driven decisions.












A retro-cyberpunk themed landing page built for a blockchain security agency using Next.js and TypeScript. Features GSAP-powered scroll animations, glitch effects, neon styling, and a terminal display UI. Fully responsive with sections covering an audit process timeline, client testimonials, and team info. Deployed on Vercel with SSG/SSR for performance and SEO.








Muhammad Shoaib A. is associate Level Developer