Portfolio
By AQSA ZAM ZAM MIRZA JOHAR BAIG — Computer Science student at VIIT Pune. AI/ML, Full-Stack development, and Cloud Architecture.
A production-ready e-commerce platform supporting a small tailoring business with 70+ registered users. Features secure authentication (JWT, HttpOnly cookies), role-based access control (RBAC), and integration with Razorpay and Cloudinary. Deployed on high-availability AWS architecture using Route 53, S3, and EC2.
A scalable healthcare platform featuring asynchronous task pipelines using Celery and Redis to reduce request latency. Includes 20+ interactive data visualizations using Chart.js and secured using cryptographic algorithms (Bcrypt, Argon2, HMAC-SHA). Integrates OpenAI and Pinecone for intelligent data processing.
Achieved 80% prediction accuracy using Ensemble Learning (Bagging, Boosting) to predict IPO success. Features an interactive web interface on Hugging Face spaces for real-time assessment. Automated the end-to-end pipeline to reduce manual analysis time and provide consistent insights.
Designed and deployed 3+ cloud-based applications on AWS, supporting scalable, highly available, and fault-tolerant architectures. Implemented 15+ AWS services including EC2, S3, IAM, Lambda, RDS, Route 53, CloudFront, and CloudFormation to optimize system performance and reliability.
Built 5+ responsive web applications using HTML, CSS, JavaScript, and Bootstrap with a focus on cross-browser compatibility. Collaborated with mentors to implement backend integrations, reducing page load time by 30% and significantly improving user experience (EduSkills AICTE program).
All code and project work listed above is developed by AQSA ZAM ZAM MIRZA JOHAR BAIG — CS Undergraduate, VIIT Pune & IIT Madras · Last updated: March 2026