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Aspiration Statement
"Passionate about AI, software-engineering, and product innovation, I aim to develop impactful, data-driven solutions. With expertise in AI, software-development, and product management, I strive to drive efficiency and technological advancement."
Core Skills
- Full Stack Development, Project Management (Agile Methodologies / JIRA), Python, Qualitative Research skills, Social Media Team CSEC
Academic Awards / Achievements
- Dean's List Fall 2024 Yohsin Scholarship
Experience
Leadership / Meta-curricular
- Vice President Gaming Club Cabinet Member Food & Hygiene Social Media Team CSEC
Internship / Volunteer Work
- Product Trainee, Salesflo (December 2024 April 2025) Product Intern, Talverse (July September 2024) Undergraduate Researcher, Habib University (June August 2024) Trainee Developer, Computer Information Services - CIS
Final Year Project
Project Title
Rahguzar: AI-Driven Route Optimization for FMCG
Description
Sales Rahguzar is a web-based route optimization system designed to enhance efficiency in the Fast-Moving Consumer Goods (FMCG) industry by automating sales representatives' Permanent Journey Plans (PJPs). The project aims to minimize travel time, operational costs, and carbon footprint while maximizing productivity. Rahguzar leverages AI algorithms and historical data to generate optimized routes tailored to business needs. The system allows managers to visualize, adjust, and schedule routes using an interactive map interface. The AI-driven approach significantly reduces travel distance and time, leading to higher sales efficiency and cost savings. Rahguzar also provides a performance dashboard, offering insights into sales uplift, time savings, and operational improvements. By automating route planning, the system enhances decision-making, sustainability, and overall business performance.