Ahmad Saddiqui - React Native Developer | ContraWork by Ahmad Saddiqui
Ahmad Saddiqui

Ahmad Saddiqui

Senior AI Engineer | AI Agents, Automation & SaaS Solutions

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Ahmad is ready for their next project!

Full Project Description NAOO is a React Native mobile application with social, marketplace, and location-based product features. I worked on multiple core modules across the app, focusing on clean mobile implementation, analytics tracking, user behavior events, and improving the reliability of important user flows. My work involved implementing and refining analytics events across the application using tools such as Firebase Analytics, CleverTap, and Firehose. This included tracking user sessions, post impressions, post interactions, search behavior, profile activity, map usage, chat actions, invite flows, and wallet milestone events. I also worked with React Native modules such as feed screens, user profiles, map-based offers, search results, chat flows, wallet activity, and onboarding-related improvements. The goal was to make the app easier to measure, debug, and optimize from a product and growth perspective. The project required close attention to event consistency, session handling, screen-level tracking, and reliable data flow across multiple app modules. My Role React Native Developer I contributed to mobile app development, UI UX, product analytics implementation, event tracking architecture, and feature-level improvements across the NAOO mobile application.
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1. Executive Summary Auto Social Publishing is a SaaS automation platform that allows businesses and agencies to publish social media content at scale using Excel spreadsheets. The platform enforces admin approvals, prevents duplicate posting, provides real‑time execution visibility, and tracks usage‑based costs for transparent billing. It is built for operational teams and agencies that require control, reliability, auditability, and predictable pricing when automating social media workflows. 2. What This Automation Is A hosted SaaS system that: Converts Excel files into social media posts Publishes to Instagram and Facebook using Ayrshare Enforces approval‑based access control Streams real‑time execution logs Tracks per‑client usage and cost
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Proposals & Contract Automation is a fully hosted SaaS platform designed to streamline the creation, delivery, tracking, and signing of proposals and contracts. It replaces fragmented workflows involving documents, emails, follow-ups, and manual approvals with a unified, AI- assisted system. The platform reduces sales cycle time, improves close rates, and provides a professional client experience through automated workflows, secure public access links, and centralized tracking. This automation is an end-to-end deal-to-signature system that enables businesses to: • Create proposals and contracts from templates • Use AI to assist content drafting • Send documents securely to clients • Track acceptance, rejection, and signatures • Automate reminders and expirations • Manage users and approvals at scale
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RagChatBot is a fully hosted AI Knowledge Assistant that allows businesses to convert their internal documents (PDFs, policies, FAQs, guides) into an intelligent, customer‑facing chatbot. The system uses Retrieval‑Augmented Generation (RAG), meaning the AI answers questions only from company‑provided data, with traceable citations. This removes hallucinations, improves trust, and makes AI responses audit‑friendly. The product is delivered as a SaaS platform. Clients do not install anything locally. They sign up, upload documents, and deploy a chat widget on their website within minutes This automation replaces: - Manual knowledge lookup by staff - Static FAQ pages - Repetitive customer support conversations RagChatBot acts as a 24/7 AI employee that understands company knowledge and answers questions consistently and instantly
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The Gmail Fraud Detection System is a fully hosted SaaS platform that continuously monitors Gmail inboxes to identify phishing, scam, and fraudulent emails. It uses a hybrid detection approach combining fast, rule-based analysis with optional AI-powered inspection—to deliver high accuracy while keeping operational costs low. The platform is designed with enterprise-grade access control, manual user approval, and per- user AI cost visibility, making it safe, scalable, and financially predictable. It serves both individual users and organizations that want proactive inbox protection without deploying or managing infrastructure.
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