Mohammed Amin
Software Engineer, Researcher, Filmmaker
Email: mohammedamin@berkeley.edu
Website: https://mohammedam.in
LinkedIn: https://www.linkedin.com/in/mohammed-a-amin/
GitHub: https://github.com/Mohammed-A-Amin
Google Scholar: https://scholar.google.com/citations?hl=en&user=M8vdbgEAAAAJ

Summary
UC Berkeley EECS student and OpenAI intern building AI systems, human-computer interaction tools, mixed reality experiences, production software, research prototypes, and visual media.

Core Skills
Software Engineering, Artificial Intelligence, AI Systems, Human-Computer Interaction, Mixed Reality, AR/VR, Research Prototyping, Full-Stack Development, Mobile Development, React, Redux, Java, AWS, DynamoDB, EventBridge, Lambda, Athena, S3, Step Functions, Go, GraphQL, Kubernetes, Docker, Svelte, Flask, Firebase, PyTorch, Stable Diffusion, Llama, LangChain, MongoDB, Swift, SwiftUI, RealityKit, ARKit, Unity, C#, WebSockets, Typesense, Meta Quest SDK.

Experience
Member of Technical Staff Intern, OpenAI, Summer 2026.

Software Engineer Intern, Amazon Web Services EC2 Private Pricing, May 2025 to August 2025.
Built middle-of-month support in the EC2 PRC Console, enabling late enterprise contract onboarding and reducing on-call load by 16%.
Implemented subscription time tracking across EC2 pricing models with Java and DynamoDB, cutting escalations across more than 86 support tickets.
Engineered async purchase analysis and refund ticketing with EventBridge, Lambda, Athena, S3, and Step Functions.
Added real-time telemetry in the PRC Console with React and Redux, reducing late-contract ingestion errors by 20%.

Contract Software Engineer, Monad, January 2025 to May 2025.
Developed 10 Go connectors for a security ingestion pipeline across AWS, GCP, and Azure, increasing supported sources by 30%.
Integrated OCSF transformations using Go and GraphQL for normalized cross-cloud security data.
Built schema mapping UI flows in Svelte and supported deployments with Kubernetes, k9s, and Docker.

Contract Software Engineer, Netflix, August 2024 to December 2024.
Designed a Flask backend for Netflix Interactive Titles, converting unstructured narrative data in Firebase into branching story nodes.
Integrated Llama 3.2 into the narrative engine to generate dynamic worlds, storylines, and player decision trees.
Used Stable Diffusion models on LAION data to generate high-quality 2D assets from text prompts.

Undergraduate Researcher, Berkeley AI Research and Meta, January 2024 to December 2025.
Developed ScenicSynth for learning coordinated physical tasks, improving code synthesis efficiency by 45% over traditional programming by demonstration methods.
Engineered an AR interface in Scenic for spatio-temporal and verbal data collection using C# and OpenAI Whisper.
Synchronized AR trajectory streams with verbal data across Firebase and Firestore for real-time execution in 3.8 seconds.

Lead Instructor, UC Berkeley Extended Reality Development DeCal, 2023 to Present.
Lead and teach Berkeley's largest student-run XR development course, mentoring students from first exposure to shipping AR and VR applications.

Selected Projects
Interactive Program Synthesis for Modeling Collaborative Physical Activities from Narrated Demonstrations, 2025.
Co-authored research on learning collaborative physical tasks from narrated mixed-reality demonstrations by representing behavior as editable programs, enabling users to inspect and iteratively refine system logic.

TaleTutor, 2024.
Built an education technology platform that turns teacher-uploaded PDFs into interactive themed lessons with contextual question answering. Placed Top 10 at the UC Berkeley AI Hackathon AI for Good track. Technologies: PlayAI, LangChain, Flask, Next.js, MongoDB.

barber.ai, 2024.
Built an AR app for virtual hairstyle try-on with real-time 3D overlays, camera toggling, and personalized recommendations from a custom hairstyle model. Technologies: Swift, SwiftUI, RealityKit, ARKit.

GAME OVER, 2022.
Built a play-to-earn game platform focused on giving underrepresented gamers visibility through skill-based progression, NFT rewards, and an in-game token economy. Technologies: Solidity, React, Phaser.js, Web3.