Aqsa Zam Zam Mirza Johar Baig
Computer Science Undergraduate & Aspiring AI Engineer
Specializing in Artificial Intelligence and Machine Learning with strong foundations in DSA, Algorithms, and System Design. Experienced in building scalable full-stack applications and cloud systems using Java, Python, and AWS.
I am Aqsa Zam Zam Mirza Johar Baig (also known as Aqsa Mirza), a passionate Computer Science undergraduate at VIIT Pune, specializing in Artificial Intelligence and Machine Learning. I also hold a B.S. in Data Science from IIT Madras.
My expertise lies in building scalable full-stack applications, designing robust system architectures, and implementing production-ready ML models. I thrive on solving complex algorithmic challenges and optimizing cloud-based infrastructures.
Production-ready platform with 70+ users. Integrated JWT authentication, Razorpay, Cloudinary, and Jitsi Meet. Deployed on AWS using S3, EC2, CloudFront, and Route 53.
Scalable healthcare system with Celery/Redis task pipelines. Features 20+ interactive data visualizations using Chart.js and secured with Bcrypt/HMAC-SHA.
Achieved 80% prediction accuracy using ensemble learning. Automated end-to-end pipeline and deployed on Hugging Face spaces for real-time assessment.
Applied supervised and unsupervised learning on real-world datasets. Evaluated performance using 10+ metrics and advanced validation techniques.
Implemented 15+ AWS services to design scalable, fault-tolerant architectures. Deployed cloud-based applications focusing on high availability.
Built 5+ responsive web applications using Bootstrap. Optimized backend integrations, reducing page load time by 30%.
Vishwakarma Institute of Information Technology (VIIT), Pune
Indian Institute of Technology (IITM), IIT Madras
Maharashtra State Board
PCM + Computer Science
Maharashtra State Board
Validated foundational knowledge of cloud services and Azure infrastructure.
Advanced certification in Oracle Cloud Infrastructure for Generative AI solutions.
Proficient in Java, Python, C++, and JavaScript. Strong command of core syntax and performance optimization.
Expertise in React.js, Vue.js, Node.js, Express.js, and Flask for modern web architectures.
Hands-on with PyTorch, TensorFlow, and Scikit-learn. Skilled in data preprocessing, model training, and evaluation.
Experienced with AWS Services (EC2, S3, IAM, Lambda, etc.), CI/CD pipelines, and version control using Git.
Proficient in MySQL, PostgreSQL, MongoDB, SQLite, and Redis for efficient data management.
Solid foundations in Data Structures, Algorithms, OOP, System Design, and DBMS.
Open to opportunities in policy research, legal internships, and academic collaborations. Feel free to reach out.
Connect with me across the web — from legal publications and academic repositories to code and content platforms.