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SYED MAAZ ULLAH SHAH
Aspiration Statement
I aspire to contribute as both a full-stack developer and machine learning engineer, leveraging my expertise in innovative applications and AI-powered solutions to solve real-world challenges.
Core Skills
- Python, C++, React Native / React, Node.js
Academic Awards / Achievements
- N/A
Experience
Leadership / Meta-curricular
- Faysal Bank FinTech Hackathon Winner (2023): Led a team to develop an accessible banking app for visually impaired users, securing first place. Kiran Foundation Volunteer: Taught Science, Mathematics, and English to underprivileged students, enhancing community engagement and leadership skills. University Project Leadership: Spearheaded innovative tech projects, including the Emotion Detection model, fostering teamwork and creative problem-solving.
Internship / Volunteer Work
- Full Stack dev Intern, Vyla studios (July 2023 October 2023)
Publications / Creative Projects
- Developed an Emotion Detection in Sindhi Audio project using CNN (85% accuracy). Created an Airbnb Recommendation Engine with Neo4j for personalized listings Built the hackathon-winning accessible mobile app, Faysal Bank Envision Developed a Physics Simulator using OOP and Box2D, demonstrating collision detection and motion dynamics.
Final Year Project
Project Title
EcoDash: Sustainability Dashboard for GHG Emissions & Waste Management
Description
EcoDash is a comprehensive sustainability dashboard developed to empower industries in Pakistan to monitor, analyze, and predict their environmental impact. The project integrates real-time data analytics and machine learning to track greenhouse gas emissions across Scope 1, 2, and 3, alongside optimizing waste management practices. EcoDash generates custom, intuitive reports that align with international standards, such as the Greenhouse Gas Protocol and ISO 14064, bridging the gap between regulatory frameworks and actionable insights. By forecasting future trends, the platform enables proactive decision-making, supports circular economy practices, and promotes efficient resource use; all while remaining cost-effective for emerging markets.