# Ahmed Khan — Résumé

[aekhan.site](https://aekhan.site) · ahmedebadkhan02@gmail.com · [linkedin.com/in/ahmedkhan-in](https://linkedin.com/in/ahmedkhan-in) · [github.com/AhmedKhan-GH](https://github.com/AhmedKhan-GH) · (510) 935-8790

SF Bay Area undergraduate specializing in machine learning and artificial intelligence across healthcare, business, and semiconductors.

## I · Education

### University of California, Davis — Sep 2024 – Jun 2028

B.S. Double Major — Computer Engineering & Electrical Engineering — Davis, CA

- Computer Engineering: Computer Architecture w/ RISC-V, Embedded Systems w/ Embedded C, Digital Systems w/ Verilog
- Electrical Engineering: Circuit Design, Analog Circuits w/ OrCAD, Introduction to Device Physics, Digital Electronic Circuits
- Signals and Systems: Introduction to Signals and Systems, Signal Analysis and Communications, Digital Signals and Systems
- Computer Science: Algorithms Analysis, Abstract Mathematics, Computer Networks w/ TCP/IP, Operating Systems w/ Linux
- AI/ML: Applied Probability, Applied Machine Learning, Intro to Artificial Intelligence, Intro to Large Foundation Models

### Stanford University — Jun 2025 – Aug 2025

Summer Session — Computer Science (On Campus) — Stanford, CA

- Relevant Coursework: Machine Learning (CS 229), Personal Finance (ECON 43), Algorithms (CS 161)
- Machine Learning: Optimization and Regularization, Deep Learning, Transformers, Compute Infrastructure, Agentic AI
- Finance and Econ: Lifecycle Modeling, Asset Allocation, Individual Taxation, Financial Investments, and Financial Planning

## II · Experience

### UC Davis Health — Junior Research Specialist — Jul 2026 – Present

Davis, CA

- Conducting medical machine learning research in collaboration with UCD RUbiNet; produced new research results on preeclampsia diagnosis from electrocardiograms, building on the sole previous paper in the field of preeclampsia ECG AI/ML by Butler et al.
- Building biosignal pipelines with PyTorch, scikit-learn, SciPy, pandas, and NumPy for signal preprocessing, data augmentation, cross-validation, mixed-precision training, GradCAM model interpretability, and Optuna architecture and hyperparameter search.
- Developing autoresearch pipelines with Claude Code and Zotero MCP for autonomous literature review. Training convolutional, random-forest decision-tree, and transformer models on HIPAA-compliant Databricks on AWS Virtual Environment with EPIC data.
- Shadowing researchers on Alzheimer's infarct detection from histopathology whole slide images, and architecting a campus-firewalled high-performance compute cluster for training a large multi-agent transformer model that self-evaluates sample analysis techniques in situ.

### Laboratory for Embedded and Programmable Systems — Undergraduate Research Assistant — Aug 2026 – Present

Davis, CA

- Conducting medical machine learning research on transabdominal fetal pulse oximetry, extracting fetal blood oxygen measurements within the womb from a non-invasive infrared sensor placed on the mother's abdomen with photoplethysmography.
- Engineering infrared emission and sensing hardware to clinical trial standards, testing in an active hospital environment on human patients, and training signal processing and transformer-based machine learning models on collected biosignals.

### Zee Foods, LLC — Project Manager — Apr 2026 – Present

Fremont, CA

- Led four software engineering interns over Summer 2026 developing Polaris, a cold chain logistics and customer order management platform using Next.js, hosted on Supabase and Vercel, featuring live order and vehicle tracking in the greater San Francisco Bay Area.
- Owning project architecture and roadmap, scoping and assigning feature work, reviewing all contributions against domain-boundary specifications, in communication with the company owner and operations staff about administrative and operational requirements.
- Implementing defense-in-depth security with fail-closed authorization and RBAC spanning CASL and RLS. Implementing Supabase Realtime for live order status and vehicle location, and pagination and virtualization for low-latency presentation of large database.
- Designing and implementing UI/UX principles with Tailwind CSS; creating brand and identity guide for website and sales materials.
- Performing spec-driven development with Claude Code skills and parallel subagents, and test-driven development with Vitest, Testcontainers, Playwright, and GitHub Actions.

### Robust and Ubiquitous Networking Lab (UCD RUbiNet) — Undergraduate Research Assistant — Jan 2026 – Jun 2026

Davis, CA

- Performed ECG 1D CNN and random-forest decision-tree architecture research and model training on preeclampsia ECG waveforms using PyTorch and the Optuna hyperparameter optimization framework. Collaborated in a team of three, with weekly meetings and presentations to lab faculty, monthly reports, and presentation of a final paper and poster at the UC Davis Senior Design Showcase 2026.

## III · Projects

### Caliper — Machine Learning Visualization Framework

[ahmedkhan-gh.github.io/caliper](https://ahmedkhan-gh.github.io/caliper)

- Machine learning visualization framework in C++ with PyTorch/LibTorch, ImGUI, Metal, Vulkan, and DuckDB that hosts ML tools for GPU-augmented live visualization through zero-copy tensor visualization; aliasing as Metal buffers on Apple Silicon MPS and importing Vulkan external memory on Nvidia CUDA under a renderer-agnostic contract for write-once code across operating systems.

### Astrolabe — Knowledge and Intelligence Orchestration

[ahmedkhan-gh.github.io/astrolabe](https://ahmedkhan-gh.github.io/astrolabe)

- Knowledge orchestration interface that synchronizes Obsidian, Eagle.cool, and Zotero with shared categorization, tagging, import shortcuts, and intuitive visual interfaces to track large-scale knowledge work in learning and research.
- ACP and MCP agentic functionality across AI inference providers for conversations with coordinated knowledge resources, and creation of knowledge artifacts to augment agent and user understanding and navigation of source material for new insights.

### Sunset — Hack Davis 2026 Hackathon Project

[devpost.com/software/sunset-zkxwe1](https://devpost.com/software/sunset-zkxwe1)

- Programmed for 24 hours nonstop using Claude Code and developed Sunset, a HIPAA-compliant AI-augmented hospice care platform featuring RLS for data security between a hierarchy of hospital staff, patients and related persons, and a secure local-inference AI chatbot.

### Hades — Human Alerting Device for Emergency Situations

[ahmedkhan-gh.github.io/hades](https://ahmedkhan-gh.github.io/hades)

- Embedded systems IoT device using a custom-programmed microcontroller running on-board signal and statistics processing, with a long-range infrared sensor and mmWave radar human-presence detector, to push a notification to a phone about an unattended heat source before smoke or fire.

## IV · Skills

- Programming: JavaScript, TypeScript, Python, Verilog, SystemVerilog, VHDL, Embedded C, C++, SQL, Drizzle ORM, PostgreSQL, SQLite3, HTML, CSS, BASH, RISC-V, OpenGL, CUDA, Next.js, React.js, Vite, Vercel, Supabase, Backblaze, Tailwind, ShadCN, RadixUI, Redis, CASL, Zod, Sharp, Pino, T3-OSS, Vitest, Playwright, Testcontainers, Jsdom, ESLint, PostCSS, DotEnv, Squawk
- AI/ML: PyTorch, LibTorch, JAX, Claude Code (MCP, Skills, Hooks), Claude Agent SDK, Transformers, LLM, CNN, Databricks
- Technologies: REST APIs, Git & GitHub, Docker, Docker Compose, LaTeX, CMake, CI/CD Pipelines, Amazon Web Services
- Software: Adobe Creative Cloud, Autodesk Maya, Microsoft Office, Cadence OrCAD, WebStorm, PyCharm, CLion, MATLAB