Hafsa Sajid
Full Stack EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Full Stack Engineer with 1+ years in MERN stack & AI-powered applications
Aspiring Software Engineer specializing in MERN stack and AI-powered applications, with proven experience building scalable, real-time systems and full-stack products. Developed an AI-driven student wellbeing platform (FYP) integrating real-time communication and intelligent insights. Strong foundation in Data Structures and Algorithms with 100+ problems solved, enabling efficient problem-solving and optimized solutions. Experienced in modern DevOps practices and cloud-based deployments. Demonstrates leadership through mentoring 30+ students and delivering technical sessions within a developer community.
University of Education
BS · Computer Science
August 1, 2022 – June 30, 2026
Dev Weekends
Technical Trainer
May 1, 2025 – Present
Lahore, Punjab, Pakistan
Headstarter AI
Headstarter AI Software Engineering Fellow
July 1, 2024 – August 1, 2024
India
Mentolytics (FYP Project)
January 1, 2026 – Present
Built a full-stack AI platform for student wellbeing: real-time mentor–mentee chat, mood trend analysis, and personalised AI recommendations. Architected role-based dashboards for 3 user types (students, mentors, admins) with institutional analytics and task management. Integrated Gemini AI for emotional pattern recognition and built real-time mentor-student communication using Socket.io, automating mentor insights and contributing to a top-rated Final Year Project in the department.
LMS (Learning Management System)
January 1, 2025 – Present
Built a production-grade LMS supporting course creation, student enrolment, video delivery, and progress tracking. Implemented Redis caching for course content that reduced average API response time by ~40%. Integrated Stripe for secure payments and Cloudinary for optimised media storage and delivery. Secured with JWT authentication and role-based access control across student, instructor, and admin roles.
ai-customer-assistant npm package
npm
July 1, 2024 – Present
Cultural Fit Analysis
The candidate's involvement in diverse projects (LMS, Mentolytics, AI-driven apps) and their role as a Technical Trainer indicate a proactive, learning-oriented, and collaborative mindset. Their contribution to an npm package and participation in hackathons suggest a passion for technology and a willingness to contribute to the broader tech community, aligning well with a culture of innovation and continuous improvement.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and mentorship skills through their Technical Trainer role. Their experience in agile practices and weekly code reviews at Headstarter AI suggests good team collaboration and operational fit. The ability to deliver working prototypes under tight deadlines (48-hour hackathon) indicates good stress handling and problem-solving under pressure.