Alex Jacob

About Me

I'm a data scientist and app developer with a deep interest in building meaningful, data-driven tools that improve everyday workflows. My work spans analytics, automation, and user experience design — often bridging the gap between intuitive front-end applications and powerful backend systems.

I was honored to receive second prize in a national design challenge organized by Natural Resources Canada and Dalhousie University, where I contributed to enhancing the user experience of Canada’s Open Science Data Portal.

More recently, I was selected by Apple for their exclusive AI & On-Device Machine Learning Workshop conducted at apples main office, vancouver, based on my contributions as an Apple Developer and my work on the app Conscious Planet, a pilot project at the intersection of machine learning and logistics innovation.

With over 4 years of experience across industries like customs, freight, and mobile technology, I bring a well-rounded and adaptable perspective to data science — always focused on delivering clear, practical outcomes.

Highlights

• 🏆 Awarded 2nd Prize – National UX Design Challenge by NRCan & Dalhousie University
• 🍎 Selected for Apple’s AI & On-Device ML Workshop (2025)
• 📱 Published 4 mobile apps including Conscious Planet and Pilgrimage
• 🔎 4+ years of experience across logistics, automation, and data analytics

Apps on the App Store

Conscious Planet

Predict Trends: Using advanced data analytics, our app forecasts major global phenomena—economic shifts, political movements, social changes, and more.

Notsorandom

AI powered trade consultant.

Pilgrimage

A spiritual companion app for mindful travel, reflection, and journaling.

Areas of Interest

Beyond my work in app development and data science, I have an active research interest in two emerging intersections:

• Computational Linguistics & Sanskrit Grammar: I explore the Paninian tradition, including the Aṣṭādhyāyī, to develop structured approaches for language modeling and AI alignment. I'm particularly interested in combining formal grammar rules with modern NLP techniques.
• Computational Materials Science: I am studying how AI and machine learning can accelerate the discovery of novel materials, predict band structures, and model material properties — leveraging tools like PyTorch, Materials Project APIs, and graph neural networks.