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Experience
Research
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Brandon J. Peck
AI Entrepreneur & Engineer
Former Microsoft Data and Applied Scientist and Penn AI member turned founder. Building Mercury Alert AI to protect older adults through intelligent monitoring. Passionate about applying AI to real-world problems that matter.
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3
Startups Built
6+
Years in AI/ML
1
Patent Pending
FEATURED WORK
Changing How We View And Interact with the World
From AI-powered healthcare to social platforms, each project represents a step toward making technology more human.
CEO & Technical Co-founder
May 2022 - Present
Mercury Alert AI
AI-Powered Safety for Older Adults
Revolutionary computer vision system that monitors older adults, detects falls, and alerts caregivers in real-time. Providing families peace of mind through intelligent, non-invasive technology.
PyTorch
Computer Vision
React Native
+3
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Our Story
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Key Highlights
Developed proprietary computer vision model and algorithm pipeline using PyTorch
Built full-stack infrastructure with React Native & PostgreSQL for real-time insights
Grew startup to 6+ figures in revenue with 7-person engineering team
Featured In
UCSD MedTech Accelerator
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Wharton Alumni Angels
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Creator
2023 - Present
Circles Verified
Verified Social Networking
AI-driven social platform that verifies user affiliations, enabling authentic connections with people who share your interests, background, and communities.
React Native
AI/ML
Supabase
+1
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Key Highlights
AI-driven affiliation verification system
Community-based social networking
Connect with verified individuals and AI friends
Creator
2024 - Present
VirtuFriends
Create Stories with Your Favorite Characters
Entertainment app that lets users craft immersive stories with their favorite characters using advanced AI. Transform imagination into interactive narratives.
React Native
Generative AI
Hugging Face
+1
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Key Highlights
4.5★ rating on the App Store
Advanced AI-powered story generation
Immersive character interactions
JOURNEY
Experience & Education
Professional Experience
Microsoft
Aug 2019 - May 2022
Data & Applied Scientist II
Redmond, WA
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Led development of device persona clustering model using Scikit-learn & PySpark
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Created new data pipeline standard adopted across Surface data science org
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Fastest promotion track from entry level (59→61) due to team impact
Microsoft
May 2018 - Aug 2018
Data Scientist Intern
Redmond, WA
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Built anomaly detection tool using triple exponential smoothing
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Automated monitoring for Surface prerelease device regressions
DecisionQ
May 2017 - Aug 2017
Software Development Intern
Arlington, VA
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Implemented K-D Tree with custom nearest neighbor algorithm in C++
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Developed Dark Web scraping tools with Beautiful Soup
Education
University of Pennsylvania
M.S.E. Artificial Intelligence
Master's Candidate
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Graduate study in artificial intelligence and applied machine learning
University of Virginia
B.S. Computer Science
2015 - 2019
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Computer Vision Research under Vicente Ordóñez Román
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Deep Learning for Visual Recognition - Top class project
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NLP: VAE with Sliced Wasserstein Distance
Awards & Recognition
2023
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AI Panelist
Medical Alert Monitoring Association
2023
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Patent Filed
System and Methods to Determine Subject Position (US20250261877A1)
2017
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First Place
UVA Global Health Case Competition
2015
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First Place & Only HS Finalist
Microsoft Imagine Cup National Competition
ACADEMIC WORK
Research & Publications
Deep learning, computer vision, and NLP projects from my time at UVA
📄
Patent (Pending)
Mercury Alert, Inc.
Systems and Methods for Detecting a Position of a Subject
Patent-pending technology for detecting subject positions using computer vision and neural networks. Core technology behind Mercury Alert's fall detection system for elderly care.
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View Patent
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Deep Learning for Visual Recognition
Graduate Course at UVA
Human Action Recognition with Synthetic Data
Generated synthetic human action data using Unity's reinforcement learning framework. Named one of the best projects in the graduate-level Deep Learning for Visual Recognition class.
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View PDF
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Natural Language Processing
NLP Course at UVA
VAE with Sliced Wasserstein Distance
Used Variational Autoencoder to generate sentences with Sliced Wasserstein Distance for natural language processing.
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View PDF
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Read Article
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Research Assistant
Vicente Ordóñez Román
Feedback Prop for Multitask Networks
Applied "Feedback Prop" training algorithm to multitask networks as a Computer Vision Research assistant.
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Independent Study
Madhur Behl
Smart Waste Sorting with Object Detection
Trained object detector to detect waste objects and light an LED over the bin it should be thrown in.
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View PDF
EXPERTISE
Technical Skills
Years of hands-on experience across the full stack, from low-level algorithms to cloud infrastructure and everything in between.
💻
Languages
🧠
Data & ML
⚡
Frameworks
☁️
Cloud
🛠️
Other
Python
JavaScript
TypeScript
Java
C++
C
💻
Languages
6 skills
🧠
Data & ML
6 skills
⚡
Frameworks
5 skills
☁️
Cloud
2 skills
🛠️
Other
3 skills
GET IN TOUCH
Feel Free
to Reach Out
Whether you're interested in AI solutions, healthcare technology, or just want to connect—I'd love to hear from you.
✉️
Email
brandonpeck13@gmail.com
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💼
LinkedIn
in/brandonjpeck
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© 2026 Brandon J. Peck
Mercury Alert
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