Hi, my name is
Connor M. Carpenter.
I build things for the web & AI.
I'm a CS student at CMU and Co-Founder specializing in machine learning, full-stack development, and systems programming.
01. Experience
Co-Founder & Chief Technology Officer @ Persona Machines
May 2025 – PresentPittsburgh, PA
- Engineered the end-to-end DeepCloak MVP from scratch, deploying a responsive SvelteKit frontend on Vercel and a high-concurrency FastAPI backend on Railway backed by Neon (PostgreSQL) and SQLAlchemy.
- Under the advisement of Ruslan Salakhutdinov (VP of Research, Meta), architected the platform's novel privacy protocols, leveraging this technical differentiation to secure acceptance into the NVIDIA Inception program.
Co-Founder & Chief Operating Officer @ F2 Supplements
Jan. 2025 – Sep. 2025Huntington Beach, CA
- Spearheaded all business and operational strategy, overseeing product development, supply chain management, and go-to-market initiatives that established the company from the ground up.
- Built and delivered the company's full-stack e-commerce platform using SvelteKit, Supabase, and Tailwind, integrating Stripe to automate the end-to-end order fulfillment and payment processing.
Dynamic Systems & Controls Intern @ NASA Langley Research Center
Jun. 2024 – Aug. 2024Hampton, VA
- Programmed software in MATLAB for the calculation of Sliced-Normal distributions which characterize complex, multivariate data sets with multiple modes and strong dependencies.
- Created a library of custom functions for enhancing existing datasets through virtual data augmentation.
Software Engineering Intern, Genome Project-write @ The Center of Excellence for Engineering Biology
Jun. 2023 – May 2024New York, NY
- Developed and refined core features for the computer-aided design (CAD) platform for genome editing within an agile team, directly supporting an international community of over 200 researchers.
- Constructed and deployed serverless backend services using Python and AWS Lambda to power the platform's genome synthesis and editing capabilities.
Research Intern @ Thomas Jefferson National Accelerator Facility
Jun. 2023 – Aug. 2023Newport News, VA
- Processed and analyzed large-scale experimental data from electron-proton collisions, developing scripts in C++ and Python within the ROOT framework to deliver a new estimation of the proton charge radius.
- Designed and built an educational platform featuring tutorials and code examples to streamline and accelerate the onboarding of new researchers onto the lab's ROOT analysis software.
02. Projects
Dynamic Memory Allocator
Coursework: 15-213
- • Designed a custom implementation of the C standard library malloc, free, and realloc functions to replace the system default.
- • Implemented a segregated free list with immediate coalescing to minimize external fragmentation, achieving high throughput and memory utilization scores.
C, Systems Programming, GDB
03. Education & Skills
Carnegie Mellon University, School of Computer Science
Expected May 2028Bachelor of Science in Computer Science; Concentration in Machine Learning
Pittsburgh, PA • GPA: 3.84/4.00
Relevant Coursework
15-213 (Intro to Computer Systems)15-259 (Probability & Computing)15-445 (Database Systems)10-301 (Introduction to Machine Learning)17-313 (Foundations of Software Engineering)
Languages
▹ Python▹ TypeScript▹ SQL▹ C/C++▹ Java▹ SML▹ HTML/CSS▹ R▹ MATLAB
Frameworks
▹ SvelteKit▹ FastAPI▹ React▹ Node.js▹ Tailwind CSS▹ SQLAlchemy
Tools & Platforms
▹ PostgreSQL▹ Supabase▹ Neon▹ Vercel▹ Railway▹ Docker▹ AWS▹ Git▹ Vim