Ayaan Shaikh

• –Engineered a Python tool to automate 20+ complex config data transformations across backend systems.
• –Refactored and debugged 5+ Java backend modules, including decompilation and logic corrections.

• –Tutored 25+ students in Python, data structures, and algorithms using C.
• –Guided students to build full-stack apps: HTML/CSS/JS frontend, Flask backend, SQLite, Vercel.
• –Led 5+ workshops on AWS cloud computing, Git, and Linux command-line tools.

• –Designed and prototyped a forum interface for 23,000+ members in Figma.
• –Revamped web pages with HTML, CSS, JS; reduced load times by 25%.

• –Authored a 4,000+ word academic paper on cultural stigma and academic outcomes.
• –Designed and distributed a quantitative survey (n=55) using Likert-scale instruments.

Hybrid anomaly-based IDS leveraging ML and statistical baselines to detect zero-day-style network anomalies. Processed 50MB+ PCAP datasets with sliding-window feature extraction.

FastAPI backend powering personalized scholarship recommendations — processes user profiles, queries PostgreSQL, returns relevance-ranked results with keyword search and smart filtering.

CNN for brain tumor detection achieving 95% accuracy on 3,000+ labeled MRI scans. Full ML pipeline: preprocessing, normalization, augmentation, training, and evaluation.