Alisha Wasim

I’m a Computer Science graduate (BCS, 2025) currently leveraging the Harvard-founded Aspire fellowship to bridge the gap between technical innovation and global strategic leadership. I’m triple-certified in Product Management (IBM), Project Management (Google), and Business Communication (LUMS), and I bring a leadership mindset shaped by critical thinking, adaptability, and clear communication.

In my final year project, I built “RecruSense – AI-Powered Recruitment Bot,” developing a voice-integrated AI assistant with Python and NLP to automate candidate screenings. I also implemented eye-gaze detection using computer vision to evaluate candidate focus and confidence, and I engineered a recruiterdashboard using SQL (MSSQL/Oracle) with Streamlit/Flask to showcase AI-driven evaluations.

Earlier, I developed “AI Pet Image Classifier,” building a CNN-based breed recognition model using TensorFlow/PyTorch (ResNet, AlexNet, VGG) and an automated label creation system to improve dataset efficiency. I also implemented a “Deep Learning Image Classification Pipeline” using pretrained CNNs (VGG16, ResNet) with a custom classifier in Python, achieving 90% accuracy.

Across projects, I combine analytical problem solving with product thinking—translating technical capabilities into user-ready experiences through UI/UX principles, Agile/Scrum, and product strategy. With a technical foundation in data, AI, and web frameworks, I’m excited to contribute to teams where strategy and engineering move together.