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Ali G. AI, Python and Fullstack

My name is Ali G. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: TypeScript, React, node.js, SaaS, Full-Stack Development, etc.. I hold a degree in Bachelor's degree, Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: AI Skin Health Scanner, AI Social Media Content Generator, AI Health Assistant, AI Voice Agent System for High-Volume Real Estate Lead Generation, Multi-Agent Customer Service System for E-commerce Platform, etc.. I am based in Lahore, Pakistan. I've successfully completed 13 projects while developing at Softaims.

I'm committed to continuous learning, always striving to stay current with the latest industry trends and technical methodologies. My work is driven by a genuine passion for solving complex, real-world challenges through creative and highly effective solutions. Through close collaboration with cross-functional teams, I've consistently helped businesses optimize critical processes, significantly improve user experiences, and build robust, scalable systems designed to last.

My professional philosophy is truly holistic: the goal isn't just to execute a task, but to deeply understand the project's broader business context. I place a high priority on user-centered design, maintaining rigorous quality standards, and directly achieving business goals—ensuring the solutions I build are technically sound and perfectly aligned with the client's vision. This rigorous approach is a hallmark of the development standards at Softaims.

Ultimately, my focus is on delivering measurable impact. I aim to contribute to impactful projects that directly help organizations grow and thrive in today’s highly competitive landscape. I look forward to continuing to drive success for clients as a key professional at Softaims.

Main technologies

  • AI, Python and Fullstack

    3 years

  • Lovable AI

    1 Year

  • AI Development

    1 Year

  • Langchain

    2 Years

Additional skills

Direct hire

Potentially possible

Previous Company

Confiz

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Experience Highlights

AI Skin Health Scanner

Developed the AI Dermatologist in Pocket, Skinive, utilizing cutting-edge AI technology. Users can easily identify risks of skin diseases by analyzing images of moles, rashes, spots, and more. Skinive aims to raise awareness and provide an affordable solution for early detection, empowering users to monitor their skin's health effectively. Seamlessly integrated image analysis algorithms for accurate diagnosis and timely intervention, ensuring users' well-being.

AI Social Media Content Generator

This project involves the development of a user-friendly, AI-powered social media post generator that helps users craft compelling and insightful content for platforms like LinkedIn, Instagram, Facebook, TikTok, and Twitter. The tool leverages natural language processing to generate posts based on user input, making it easier for professionals to maintain an active and engaging presence across multiple social platforms. https://www.socialpilot.co/free-tools/facebook-post-generator

AI Health Assistant

Developed Docus.ai utilizing Node.js, Express.js, and React. Implemented cutting-edge AI models and algorithms to analyze symptoms and test results, generating comprehensive health reports and potential diagnoses. Seamlessly integrated with top human doctors in the US & EU for validation of AI-generated reports. Get rapid insights and accurate diagnoses with Docus.ai, combining AI efficiency with human expertise for optimal healthcare outcomes.

AI Voice Agent System for High-Volume Real Estate Lead Generation

Developed and implemented an enterprise-grade AI calling system for a major real estate agency. Built using VAPI and Bland.AI, the system handles 500+ outbound calls daily. Integrated with Salesforce CRM and custom appointment scheduling system. Implemented natural language processing for lead qualification and sentiment analysis. Key achievements: 45% increase in qualified lead generation 35% reduction in agent workload 90% positive customer feedback

Multi-Agent Customer Service System for E-commerce Platform

Created a sophisticated multi-agent system handling 2000+ customer queries daily for a major e-commerce platform. Built using LangChain and GPT-4, with custom RAG implementation for product knowledge. Integrated with Shopify, payment systems, and inventory management. Results delivered: 90% automated resolution rate 30% increase in customer satisfaction 65% reduction in response time

Education

  • Superior College

    Bachelor's degree in

    2019-01-01-2021-01-01

  • University of Engineering and Technology

    Bachelor of Computer Science (BCompSc) in Computer science

Languages

  • English
  • Spanish
  • Italian

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