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Schedule Interview NowMy name is Adnan A. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Full-Stack Development, Back-End Development, HTML5, JavaScript, Tailwind UI, etc.. I hold a degree in Bachelor's degree. Some of the notable projects I’ve worked on include: AI Tool for Codebase Understanding & Faster Shipping – Codesee, Digital Banking Platform for Fintech – Zazu, AI-Powered Codebase Visualization Platform – Adrenaline, Shop Management Platform for Retail – Vaultoniq, Cloud native platform to avoid vendor lock-ins – Stack 8s, etc.. I am based in Khushab, Pakistan. I've successfully completed 7 projects while developing at Softaims.
I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.
The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.
I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.
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Techlogix
Codesee is an AI-powered platform built to help developers ship high-quality code faster by deeply understanding their codebase. I developed the full-stack system using Next.js, Nest.js, and Python, with PostgreSQL and Redis for performance. The tool analyzes project structure, tracks dependencies, and visualizes code flow, making it easier for teams to collaborate and move quickly. Designed with developer experience in mind, the platform improves engineering speed without compromising code quality.
Zazu is a full-stack digital banking solution built for modern, ambitious users seeking powerful financial tools. I developed the platform using Next.js, Nest.js, and Python, integrating AI-driven insights to help users manage money smarter. With PostgreSQL, Redis, and secure AWS infrastructure, Zazu supports scalable banking operations, smart budgeting, and real-time analytics. The goal was to blend intelligent automation with intuitive UI to deliver a next-gen fintech experience.
Adrenaline is an AI-based platform designed to help developers visualize and understand large codebases quickly. I built the full-stack system using Next.js, Nest.js, Python, and PostgreSQL. The platform uses AI to map relationships, generate architecture diagrams, and simplify code exploration. With a smooth UI powered by TailwindCSS and real-time performance through Redis, Adrenaline helps teams reduce onboarding time and improve code comprehension across projects.
Vaultoniq is a shop management platform designed to give store owners complete control over how they run their business. I built the full-stack system using Next.js, Nest.js, and Python, with AI features that assist in inventory planning, sales trends, and smart decision-making. The app supports multi-store dashboards, real-time insights, and secure transaction tracking. With Redis, PostgreSQL, and AWS at its core, Vaultoniq brings flexibility and intelligence to modern retail.
Stack 8s is a full-stack web platform developed to support scalable and intelligent tech operations. I used Next.js, Nest.js, and Python to build the system, integrating AI capabilities for automation, data handling, and performance optimization. The platform is designed for flexibility and growth, backed by PostgreSQL, Redis, and AWS infrastructure. Whether for internal tools or user-facing features, Stack 8s delivers speed, reliability, and a smooth product experience.
Bachelor's degree in Computer science
2017-01-01-2021-01-01