Arslan Zaheer's Work | ContraWork by Arslan Zaheer
Arslan Zaheer
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Arslan Zaheer

Senior AI & Software Engineer | CTO-Level Product Builder

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Arslan is ready for their next project!

Cover image for Title: Hallward

Hallward is a sophisticated
Title: Hallward Hallward is a sophisticated SaaS platform engineered for construction project managers, planners, and contractors involved in major infrastructure projects. It bridges the gap between raw data and strategic decision-making by transforming complex Primavera (XER/XML) files into actionable intelligence. Through automated breakdowns, earned value analysis, and AI-powered risk identification, Hallward eliminates the industry's heavy reliance on manual spreadsheets, providing instant, predictive insights that optimize project outcomes and identify schedule risks before they escalate.
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Cover image for Automating Dealer Operations – AutoVerify
AutoVerify
Automating Dealer Operations – AutoVerify AutoVerify required a streamlined platform to automate dealership processes and improve efficiency. Using React for an intuitive front-end and Python for powerful back-end automation, we built a system that simplifies customer verification, document processing, and inventory management. These enhancements reduced manual workload, improved accuracy, and increased processing speed for dealers. The optimized platform now ensures seamless automation, saving time and enhancing overall operational efficiency.
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Cover image for Hire Expert for Real-Time System Development with Trak4
Full Stack Development: Real-Time Tracking System for Trak4
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Cover image for Title: Full Stack Development: Rewards
Title: Full Stack Development: Rewards System for Hero Trainer Hero Trainer needed a scalable platform to manage its gamified fitness rewards system. Using React for an interactive interface and Python for backend processing, we developed a seamless app that tracks user activity, distributes rewards, and ensures real-time data synchronization. The improved system enhances user engagement, reduces lag in reward distribution, and offers a smooth experience for fitness enthusiasts.
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Cover image for Title: Full Stack Development: Secure
Title: Full Stack Development: Secure Data Storage for 911 Vault 911 Vault required a highly secure and efficient platform for storing critical emergency data. Using React for a responsive interface and Python for backend encryption, we developed a robust system that ensures fast, encrypted access to vital information. The solution enhances data protection, streamlines retrieval processes, and provides seamless accessibility for authorized personnel, reinforcing security and reliability in emergency situations.
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Cover image for Title: Sourcigo – AI-Powered B2B
Title: Sourcigo – AI-Powered B2B Procurement & RFQ Platform Sourcigo is a B2B procurement platform that centralizes RFQ creation, supplier bidding, and analytics into a structured SaaS environment. Buyers can post requirements, compare offers, and track procurement activity in real time. Suppliers manage bids and engagement through a dedicated dashboard. The system integrates with ERP workflows and provides token-based marketplace mechanics, eliminating fragmented communication and manual tracking while improving decision speed and supplier visibility.
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Cover image for Title: Full Stack Development: 20%
Title: Full Stack Development: 20% Customer Retention Boost for Point.Laz Point.Laz required a scalable and high-performance web solution to enhance user experience and system efficiency. Built with React for a dynamic front-end and Python for a robust back-end, the platform now delivers seamless navigation, real-time data processing, and secure API integrations. Optimized database management and a responsive UI ensure smooth functionality across devices. These improvements have enhanced system performance, improved user engagement, and streamlined overall operations.
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Cover image for Title: Full Stack Development: Secure
Title: Full Stack Development: Secure Data Removal for Optery Optery required a seamless solution to help users remove personal data, including phone numbers and addresses, from online databases. Using React for a user-friendly interface and Python for automation, we built a system that efficiently scans, identifies, and processes removal requests. With enhanced security features and automated workflows, Optery now provides a faster, more reliable way for users to take control of their online privacy.
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