Hello, I'm Megan Jacob
Computer Science and Cognitive Science at UCLA
Exploring the intersection of artificial intelligence and human cognition, where technology meets the complexity of the mind.
Computer Science and Cognitive Science at UCLA
Exploring the intersection of artificial intelligence and human cognition, where technology meets the complexity of the mind.
I'm Megan Jacob, a Computer Science student at UCLA, also double majoring in Cognitive Science. I love learning about intelligent systems, both the human brain and computer driven. Currently, I'm focused on building cool products with AI and exploring the intersection of neurotech!
When I'm not coding, you'll find me exploring hiking trails, watching sunsets 🌅, or training in Taekwondo 🥋.
Developing Deep Research Mode for Salesforce, a multi-agent system with advanced planning, reasoning, and evaluation capabilities. Collaborating closely with Agentforce and AI Research teams.
Integrated the latest AI developments and research into HP's AI-powered products. Worked on HP's AI Companion and with the RAG and RAISE frameworks. Built evaluation pipelines for voice and LLM models.
Received VP recognition for work on an AI tool for a multi-billion dollar partnership.
Developed an application for visualizing and analyzing electron microscopy data using Python and the Voila framework. Streamlined data collection processes, improving collaboration with international partners and accelerating research outcomes.
Improved research collection and analysis process efficiency by ~50%.
Designed a compact modular solution to increase healthcare access in rural communities. Presented Figma/CAD mockups and a functional prototype. Honed skills in design thinking and product development while exploring applications of the latest research in 3D/4D printing, robotics, VR, and AI.
Researched delayed healthcare and its determinants for freelancers, providing insights for key business decisions and strategies. Leveraged Machine Learning (scikit-learn) and data science (Excel, pandas, NumPy) techniques to analyze health data sets. Collaborated closely with the CEO, CTO, engineering team, and healthcare professionals/advisors.
A web application that helps boost memory recall and retention through the Memory Palace technique, especially for senior citizens and those with Alzheimer’s and dementia.
An inclusive application designed for students at UCLA to share their favorite meals from across the various dining options on campus.
Using ML classification models to analyze bellwether counties in U.S. presidential elections from 2000-2020.
San Francisco, CA
