Syed Muhammad Haider Rizvi
FAST
· 2025
Email
rizvi2812@gmaii.com
Phone
+923107160223
LinkedIn
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GitHub
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Academic
Program
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CGPA
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Year
2025
Education
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Syed Muhammad Haider Rizvi ~ +923107160223, mh rizvi2812@gmaiI.com Chaklala Cantt, Rawalpindi Linked In: htt~s :LLwww.linkedin.comfinLs~edmhRizviL 'Education Bachelor of Science (Computer Science) 202S Major: rtificial Intelligence, Machine Learning, Deep Learning, Generative Al, Data Analytics, Data ci ence, Cloud Computing, Software Development Beaconhouse School System, Islamabad 'A-Levels (Physics, Chemistry, Mathematics) J3eaconhouseSchool System, Islamabad P-Levels (Physics, Chemistry, Computer Science) 'Projects 'i=inal Proiect: HealthMate - Al-Powered Personal Health Assistant [Kotlin, XML, Firebase, Python, Flask, Android Studio, Visual ~tud io, Git) HealthMate is a data-driven, Al-powered health management system that continually monitors user health metrics and provides ea I-time insights. It enables users to track vitals via loT, analyze diet, receive Al -driven recommendations, upload medical reports, and send health aueri es . ~emester Proiects: ~rocery Store Management System [C++] : 'An object-oriented software for automating registration, inventory, onl i ne shoppi ng, payments, and store checkout si mulations. Cafe Management System [SQL, CSS, HTML, C++]: 'A web-based system usi ng HTML, CSS, C++ and SQL for effici ent order processing, inventory management, and user role management. 'Al-Powered Timetable Scheduling System [Python, NumPy, Pandas, SciPy, Al Optimization) : 'An Al-powered timetable scheduling system for efficient course, professor, and classroom allocation with minimal conflicts. Cloud Web Application Deployment on AWS [AWS EC2, VPC, Amazon RDS, Auto Scaling, Cloud Cost Estimation] : besigned and depl oyed a scalable web appli cation on AWS with secure networking and automated seali ng. ncome Classification Using Logistic Regression & SVM [Python, Pandas, NumPy, Matplotlib, Scikit-Learn, GridSearchCV) : bevel oped a model to predict income level s using Logistic Regressi on and SVM with optimized preprocessing. Economic Loss Prediction [Python, NumPy, Pandas, Matplotlib, Data mining, Machine Learning]: J3ui It and trained a Linear Regression model using Gradient Descent to predict economic I oss from traffic accidents. Work Experience Cloud App Development and Maintenance Intern, Systems Limited, Islamabad. June 2024 - Aug 2024 bevel oped and maintained cloud applications, optimizing infrastruct ure and ensuring high avail ability. Integrated Al/ML solutions and performed data-driven optimizations. '5kills & Tools Professional Skills eadershi p, Communication, Problem-Solving & Analytical Thinki ng irechnical Skills ':./C++, Python, Tensor Flow, Sci -kit Lea rn, SQL, HTML, CSS, Java Seri pt, Socket programmi ng, Microsoft Office (excel, word, power point), Computer networking. 'Achievements 'AWS Academy Graduate - Cloud Web Application Builder (Amazon Web Services) 'p..WS Academy Graduate - Cloud Foundations (Amazon Web Services) nterned at Systems Limited Islamabad as a Cloud Application Developer, optimizing cl oud infrastructure and integrating Al/ML. 'lfrainings I Certification 'AWS Certified - Al Practitioner (In progress) Peep Learning Specialization -Andrew Ng (Coursera) (In Progress) 'Machine Learning Specialization -Stanford University (Coursera) (In Progress) 'Activities Prganized the "Bug Catcher" competition at NaSCON'23 as part of the Computer Event. ~nterests Playing Strategy games , Foot ball, Watching movies & Tv shows FAST NUCES ISLAMABAD CAMPUS
AI enrichment
Syed Muhammad Haider Rizvi is a recent Computer Science graduate specializing in AI and Cloud Computing with internship experience at Systems Limited. He has practical exposure to cloud infrastructure, machine learning model development, and full-stack application deployment through academic projects and professional training.
Skills (AI)
["Python", "C++", "Kotlin", "SQL", "HTML/CSS", "JavaScript", "TensorFlow", "Scikit-Learn", "AWS", "Firebase", "Flask", "Machine Learning", "Deep Learning", "Cloud Computing", "Git"]
Status: ai_done
Provenance
Source file: —Created: 1777724106