Full Stack Engineer with 1+ years in Angular, Spring Boot & ERP Systems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Developer with 2+ year of professional experience specializing in Angular frontend development, SQL Serverdatabase management, ERP systems, and university LMS/ERP portal administration. Proven track record deliveringenterprise-gradesolutionsforhighereducationinstitutionsacrossPakistanandSaudiArabia.ProficientinAPlintegration,databaseoptimization, SpringBoot, React, andfull-stackwebdevelopment.Knownforproblem-solving, adaptability, andeffective collaboration in Agile team environments.
GCU, Faisalabad
Bachelor of Science · Computer Science
N/A – Present
SyntaxMatic Technologies
Junior Software Developer
January 1, 2025 – Present
India
Smart Inventory & Sales Management System
June 17, 2026 – Present
Developed a full-stack inventory and sales management system to manage products, stock levels, suppliers, and sales transactions. Implemented role-based authentication for admin and staff, real-time stock updates, and sales reporting dashboard.
Cultural Fit Analysis
The candidate has experience administering and maintaining ERP/LMS portals for multiple universities across different regions (Pakistan and Saudi Arabia), indicating exposure to diverse institutional requirements. The academic project also shows full-stack development capabilities. The target role is 'Full Stack Engineer', which aligns well with the candidate's stated skills and project experience, particularly the MERN stack project. The breadth of technologies listed (Angular, SpringBoot, Node.js, SQL Server, MongoDB, PHP) suggests a willingness to learn and adapt to different tech stacks.
Soft Skills & Operational Fit
The candidate's professional summary mentions problem-solving, adaptability, and effective collaboration in Agile team environments, which are positive indicators for operational fit. However, these are self-reported and not validated by assessment data.