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SYED ALI
Full Stack Developer - AI Powered SAAS / Web App / AI Agents
Ready for work
SYED is ready for their next project!
The platform provides a holistic solution, offering improved asset management, user visibility, risk assessment, security maturity, and streamlined data management. Ultimately, the project aims to empower SMBs with the tools and insights needed to protect their assets from cyber threats effectively. http://app.assetcurve.io
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An AI hotel receptionist designed to handle guest calls around the clock, including room bookings, availability checks, property-specific FAQs, and guest requests. The voice layer was structured to work across Vapi and Retell, making it easy to switch providers without rebuilding the core system. n8n workflows were used for CRM updates, PMS webhook handling, multi-step conversations, objection handling, and voicemail fallback.
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Lofty is an AI-powered real estate CRM that helps agents access property listings, client history, contracts, market reports, and internal documents from one place. Its intelligent RAG assistant gives grounded property recommendations, qualifies leads, summarizes documents, creates follow-ups, and supports faster client communication with accurate business data.
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MunchStudio is an AI-driven SaaS platform that helps brands and creators produce professional visual and written content efficiently. It uses LLM-powered automation to transform simple ideas into polished, ready-to-publish assets while saving time and reducing manual work.
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As a Full Stack Developer at Pocketnote, I helped build and scale an educational SaaS platform connecting students with qualified tutors. I developed responsive, user-friendly interfaces using React, JavaScript, HTML, and CSS, ensuring a smooth experience across the platform.
On the backend, I worked on RESTful APIs, system integrations, and core business workflows that enabled reliable communication between frontend and backend services. My role also involved improving performance, maintaining clean architecture, and supporting the platform’s growth from an MVP into a stable web application.
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Autoplay AI gives product teams a clear view of how users actually move through their software.
Using AI-powered session analysis, it identifies friction points, confusing journeys, and drop-off patterns automatically. Instead of just showing what happened, it explains why users struggled and recommends practical improvements.
The result is faster product decisions, stronger user experiences, and less guesswork across design and development.
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A closer look at Stellae AI, an AI-powered restaurant ordering platform.
The real challenge was not just building the screens. It was designing the full workflow—from restaurant discovery and voice interaction to order confirmation and handoff—so every step feels clear and connected.
Claude was used as a development tool to help execute and refine the platform, while the core product logic, ordering flow, and user journey were carefully planned and built around real restaurant needs.
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Voice-to-Voice AI Receptionist Assistant for Businesses
My role. AI Agent (Voice-to-Voice AI bot Developer)
Project description.
Stella AI app, which is a voice-to-voice solution for businesses to manage orders, reservations, and FAQs. I walked through the app's features, including SMS marketing, 24/7 availability, and the ability to customize greeting messages and voice selections. We also explored how to set up a business profile and input a knowledge base and menu through JSON uploads. I demonstrated a live call interaction with Stella AI, showcasing its capabilities in booking appointments. I would love to hear your thoughts on the system and any feedback you might have!
Skills and deliverables
AI Agent Development
AI Bot
Artificial Intelligence
Natural Language Processing
Python
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AI Voice Agent for Car Dealerships (Manages Inbound phone calls)
My role. AI Voice Agent Expert (Voice-to-Voice AI bot) Developer
Project description.
I demonstrate Dealer Voice, a voice-to-voice agent designed specifically for car dealerships. The system automates call handling, providing summaries and call recordings, and allows for agent management and voice selection. I walk you through creating an agent for a dealership, including setting up the phone number, operating hours, and context for the calls. I also show a live call example where I inquire about available cars, highlighting the system's efficiency. Please test the bot by calling the assigned dealership number to experience its capabilities firsthand.
Skills and deliverables
Bot Development
Natural Language Processing
AI Bot
Artificial Intelligence
Python
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AI based Session Replay Analysis Tool Built on PostHog
My role. Full-Stack Developer / AI Developer
Project description.
I walk you through the Autoplay app, a session replay analysis tool built on PostHog. We leverage AI to analyze thousands of sessions each week, providing session summaries, user flows, and key insights. I also demonstrate features like our chatbot for communication and the golden path analysis for user flows. I encourage you to explore the filtering options and the recommended issues generated weekly. Your feedback and engagement with the app would be greatly appreciated!
Skills and deliverables
Session Recording
AI Development
Full-Stack Development
Python
Large Language Model
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Autoplay AI is a tool I created to help product teams see exactly how users interact with their software. It uses AI to watch how people navigate the product, automatically spotting where they struggle or feel confused. The system then explains why these problems happen and offers clear advice. This helps teams confidently improve their product's design and usability.
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As an AI Developer, I design and build intelligent systems to solve complex problems. My work involves developing algorithms, training models, and deploying scalable applications that learn from data to perform specific tasks. I'm driven by the challenge of translating theoretical concepts into practical, real-world solutions.
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