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Abdullah F. - , Automation, Data Science

My name is Abdullah F. and I have over 4 years years of experience in the tech industry. I specialize in the following technologies: AI Chatbot, AI Agent Development, OpenAI API, GPT-4, LangChain, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I’ve worked on include: Zillow-Style Real Estate App (React & Django) – 40% Growth, Buildcap – 35% Workflow Efficiency Gain (Full Stack Development), Pavia - 3x Faster Real Estate Platform (Full Stack Development), Glasshive – 2x Lead Conversion Boost (Full Stack Development), Data Extraction: 90K+ Students from University of Illinois, etc.. I am based in Lahore Cantt, Pakistan. I've successfully completed 32 projects while developing at Softaims.

I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.

My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.

I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.

Main technologies

  • 4 years

  • AI Chatbot

    3 Years

  • AI Agent Development

    2 Years

  • OpenAI API

    2 Years

Additional skills

Direct hire

Potentially possible

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Experience Highlights

Zillow-Style Real Estate App (React & Django) – 40% Growth

Developed a dynamic real estate listing platform (Zillow-style) with React and Django, featuring advanced search filters, interactive maps, real-time property updates, and custom dashboards for agents. Integrated buyer alerts and optimized the UI for fast, responsive performance. Focused on clean design, secure API integration, and scalable backend architecture. The platform boosted user engagement by 40% in 3 months, delivering a seamless and intuitive property discovery experience across devices.

Buildcap – 35% Workflow Efficiency Gain (Full Stack Development)

Developed a custom construction management system for Buildcap using React and Django. Delivered task tracking, live progress dashboards, and real-time reporting to help site managers reduce delays and manual work. Focused on workflow automation, mobile responsiveness, and clean UI/UX. The system improved visibility, reduced operational overhead, and increased efficiency by 35%, streamlining daily construction workflows with an intuitive, data-driven platform.

Pavia - 3x Faster Real Estate Platform (Full Stack Development)

Built a full-stack real estate platform for Pavia using React and Django, enabling users to browse, search, and manage property listings with ease. Implemented advanced filters, real-time updates, and a mobile-friendly UI. Focused on speed, UX, and secure backend architecture. The platform achieved 3× faster performance and dramatically improved usability across all devices, helping Pavia deliver a seamless property discovery experience for buyers, renters, and agents.

Glasshive – 2x Lead Conversion Boost (Full Stack Development)

Built a full-stack web application for Glasshive focused on improving marketing team workflows. Integrated lead tracking, campaign analytics, and automated follow-ups with a clean, interactive UI. Backend logic streamlined data flow, ensuring high-speed performance and accurate reporting. This setup led to a 2x increase in lead conversions while making the platform more intuitive for daily users.

Data Extraction: 90K+ Students from University of Illinois

Extracted institutional data from LinkedIn for the University of Illinois at Urbana-Champaign, including 90K+ students and alumni. Captured follower count, location, and official website. The structured dataset was optimized for lead generation and academic market analysis.

Education

  • Government College University, Lahore

    Bachelor of Science (BS) in Computer science

    2015-01-01-2019-01-01

Languages

  • English

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