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Fullstack Engineer with less than a year in AI/ML and web development
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Full stack developer with a CS degree and hands-on experience building end-to-end web and mobile applications. Evaluated and improved large language models through RLHF workflows, debugging tasks, and dataset creation, bringing a strong analytical edge to engineering work. Comfortable across the entire stack, from REST APIs and backend systems to responsive frontends and third-party integrations. Focused on writing clean, reliable code and shipping software that solves real problems.
University of Engineering and Technology, Lahore (New Campus)
Bachelor of Science · Computer Science
August 1, 2022 – June 30, 2026
Ingenious Programmers Inc.
Associate Software Engineer
November 1, 2025 – Present
Lahore, Punjab, Pakistan
VisionLearn: AI-Powered Bilingual Learning App for Kids
June 25, 2026 – Present
Developed a cross-platform educational mobile app for children aged 3 to 7 using React Native, TypeScript, FastAPI, and Firebase, supporting bilingual learning in English and Urdu. Integrated AI and computer vision features including real-time object detection (YOLOv8), hand gesture recognition (MediaPipe), handwritten character recognition, and shape detection using OpenCV. Shipped a gamified learning system with XP levels, badges, daily streaks, parental controls, and bilingual text-to-speech, driving engagement and daily retention for young learners.
FlyMyRide: Multi-Step Booking System for Car Wash Services
June 25, 2026 – Present
Built and delivered backend services for a client-facing multi-step car wash booking platform using Express.js, handling scheduling logic, payment processing, and automated customer communication. Integrated Stripe payments with custom time slot management, ensuring conflict-free scheduling and reliable transaction handling. Designed persistent booking sessions with multi-step workflow validation and edge-case handling to maintain booking state across the full user journey.
PharmaCare: Pharmacy Management System
June 25, 2026 – Present
Built a role-based desktop pharmacy management system in Python with distinct Admin and Cashier interfaces, enforcing access control so each role only interacts with its permitted features. Implemented inventory tracking with low-stock alerts and supplier record management, alongside a sales and receipt generation flow for cashier operations.
Cultural Fit Analysis
The candidate's academic projects (VisionLearn) and personal projects (PharmaCare, FlyMyRide) demonstrate initiative, a passion for building, and a diverse skill set. The experience with AI evaluation suggests an interest in cutting-edge technologies and a methodical approach to problem-solving. This breadth of interest and self-driven learning aligns well with a culture that values continuous improvement and innovation. The full-stack focus and experience with various technologies indicate a versatile team player.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving, project management, and attention to detail (e.g., edge-case handling, role-based access control). The experience in evaluating LLMs suggests a structured approach to analysis and debugging, which is valuable for operational roles. The diversity of projects indicates adaptability and a willingness to tackle different technical challenges.