Ayesha Nazneen

Owns end-to-end technical delivery for ApexBeat, an MBBS exam-prep platform, including architecture, feature delivery, and production operations. Built core product surfaces on Next.js 15 and Node.js/Express, and manages deployment via PM2 and Nginx on AWS EC2.

Built an AI-powered Chrome Extension that analyzes LinkedIn profiles and generates context-aware comments using LLMs. Developed a scalable Node.js backend with REST APIs and MongoDB, and engineered responsive React interfaces with Tailwind CSS and Framer Motion.

Took full ownership of three production portals for a European banking-services platform, from requirements through deployment. Delivered tailored UX and role-based access control on a MERN stack, and managed post-delivery support independently.

Authored and reviewed training data for fine-tuning ChatGPT, writing task prompts and model-facing responses. Evaluated model outputs against correctness, clarity, and safety criteria in a distributed annotation workflow.

Built a full MERN-stack CCTV classroom-monitoring system with face recognition, emotion analysis, and attention tracking. Trained AI/ML models from scratch and integrated them into a live inference pipeline, winning 1st Place in the Web Category at Career Expo 2024.

Built and published Ism e Azam in native Java, integrating Google AdMob for monetization. Worked directly with end users to gather requirements and resolve bugs across Android devices.

Developed and maintained production web applications using MongoDB, Express.js, React, and Node.js. Collaborated with the team to design, test, and iterate on features based on user feedback.

Activities and societies: Won 1st Place in the Web Category at Career Expo 2024 for the SMART GAZE project.

Pursued a Bachelor of Science in Software Engineering, completing a final year research project on a MERN-stack CCTV classroom-monitoring system.