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Ghulam A. AI, Web and Cloud Platforms

My name is Ghulam A. and I have over 8 years of experience in the tech industry. I specialize in the following technologies: Python, Django, JavaScript, TypeScript, React, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I’ve worked on include: O360 – SaaS Supply Chain Management Application, Maple – HRMS System, GroovePacker – Barcode Packing & Scanning Platform, Graide AI – AI-Powered Assessment & Feedback Platform, Boon – Applicant Tracking & Referral Reward System, etc.. I am based in Lahore, Pakistan. I've successfully completed 7 projects while developing at Softaims.

I am a dedicated innovator who constantly explores and integrates emerging technologies to give projects a competitive edge. I possess a forward-thinking mindset, always evaluating new tools and methodologies to optimize development workflows and enhance application capabilities. Staying ahead of the curve is my default setting.

At Softaims, I apply this innovative spirit to solve legacy system challenges and build greenfield solutions that define new industry standards. My commitment is to deliver cutting-edge solutions that are both reliable and groundbreaking.

My professional drive is fueled by a desire to automate, optimize, and create highly efficient processes. I thrive in dynamic environments where my ability to quickly master and deploy new skills directly impacts project delivery and client satisfaction.

Main technologies

  • AI, Web and Cloud Platforms

    8 years

  • Python

    4 Years

  • Django

    1 Year

  • JavaScript

    3 Years

Additional skills

Direct hire

Potentially possible

Previous Company

Techlogix

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Experience Highlights

O360 – SaaS Supply Chain Management Application

• Built a comprehensive SaaS platform providing end-to-end visibility, real-time analytics, predictive alerts, and efficient management of the supply chain lifecycle. • Enhanced system reliability and scalability using MERN stack along with advanced database optimization techniques and caching strategies to ensure smooth operations for rapidly growing user bases. • Created custom analytics and reporting modules to deliver actionable insights and improve strategic decision-making.

Maple – HRMS System

• Designed and implemented a microservices architecture for enhanced scalability and maintainability. • Re-architected the entire user management and permissions system for increased flexibility and security, introducing granular role-based access control (RBAC). • Developed custom workflows to automate complex approval processes, significantly reducing administrative overhead and processing time. • Integrated third-party payroll systems and expense management modules with advanced data synchronization techniques, ensuring accuracy and consistency across platforms.

GroovePacker – Barcode Packing & Scanning Platform

• Implemented a microservices-based solution using Docker and Kubernetes, achieving high scalability, fault tolerance, and simplified deployment processes. • Engineered robust integration modules connecting GroovePacker directly with major shipping platforms and marketplaces, using RESTful APIs. • Optimized barcode scanning functionalities with real-time validation and error handling, significantly enhancing user experience and operational accuracy. • Enhanced logging and monitoring capabilities, ensuring quick issue identification, troubleshooting, and minimal downtime

Graide AI – AI-Powered Assessment & Feedback Platform

• Designed and developed advanced AI models incorporating Natural Language Processing (NLP) techniques such as transformer-based architectures (BERT, GPT-based models) and deep learning to accurately assess student submissions. • Implemented automatic feedback generation leveraging AI-driven sentiment analysis and content-specific insights, ensuring each learner receives personalized, meaningful, and constructive feedback. • Improved user satisfaction and learner outcomes by significantly reducing grading turnaround time and providing detailed feedback tailored to individual learning needs.

Boon – Applicant Tracking & Referral Reward System

• Conducted a comprehensive frontend overhaul using React, enhancing user experience, responsiveness, accessibility, and overall application performance. • Built a custom integration engine with robust APIs and webhooks to automate applicant tracking, referral processes, and reward distributions. • Enhanced database optimization and query performance, significantly reducing page load times and improving system responsiveness. • Developed customizable dashboards and analytics modules for users and administrators to track performance and referral outcomes effectively.

Education

  • COMSATS Institute of Information Technology

    Bachelor of Science (BS) in Software Engineering

    2014-01-01-2018-01-01

Languages

  • English

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