diego@stanford:~$ ./intro

Building AI/ML systems at the intersection of backend infrastructure, LLMs, NLP systems, and real-world impact.

status: Incoming SWE Intern @ Coinbase AI/ML Platform

prev: Microsoft AI / M365 Copilot Search NLP

edu: Stanford CS + Statistics (AI/ML)

session — interactive

> whoami

Diego Sanchez — Stanford CS student building AI/ML systems

> current_focus

AI/ML platforms, backend infrastructure, LLM systems, NLP systems, test-time agents, healthcare AI

> status

Incoming SWE Intern @ Coinbase AI/ML Platform
$ view_resume$ view_projects$ github$ linkedin
profile.png
Diego Sanchez profile photo

profile.png loaded successfully

Diego Sanchez · Stanford CS + Statistics

~/focus/current

diego@stanford:~$ cat ./focus.json

AI/ML PlatformsBackend InfrastructureLLM SystemsNLP SystemsTest-Time AgentsHealthcare AIDeveloper ToolsResearch Engineering
./launch_profile

diego@stanford:~$ ./launch_profile

[OK] Stanford CS + Statistics · AI/ML

[OK] Incoming Coinbase AI/ML Platform SWE Intern

[OK] Microsoft AI / Copilot Search NLP

[OK] Stanford Medicine LLM backend research

[OK] NLP systems + test-time agents

[OK] Backend, infra, LLM systems, healthcare AI

Ready for: AI/ML platform, backend infrastructure, NLP systems, research engineering

diego@stanford:~$ cat ./about.md

About

Building AI/ML systems from prototype to production.

./about.md

diego@stanford:~$ cat ./about.md

I'm Diego Sanchez, a Stanford CS and Statistics student focused on building AI/ML systems that move from prototype to real-world use. My work sits between backend infrastructure, LLM applications, NLP systems, and applied machine learning, with experience across Microsoft AI, Stanford Medicine research, and AI/ML platform engineering.

I'm especially interested in reliable AI systems, NLP infrastructure, test-time learning frameworks for AI agents, and high-stakes applications across healthcare, developer tooling, and financial infrastructure.

diego@stanford:~$ ls ./experience

Experience

Where I've built and shipped technical systems.

Coinbase logo

~/experience/coinbase-aiml

Software Engineer (AI/ML) Intern

Coinbase · Summer 2026 · San Francisco, CA

focus: AI/ML platform engineering, scalable ML infrastructure

impact:

  • -Incoming intern on the AI/ML Platform team building production ML infrastructure.
  • -Focus on scalable, efficient platform systems for model deployment and developer workflows.

stack:

PythonML PlatformDockerBackend

output: incoming — AI/ML platform engineering

Microsoft logo

~/experience/microsoft-ai

Software Engineering Intern, M365 Copilot Search NLP

Microsoft · June – Sep 2025 · Redmond, WA

focus: LLM-based DSAT triage, NLP systems, backend automation

impact:

  • -Built an LLM-powered triage pipeline for Copilot Search feedback with 97% recall / 92% precision on 1k+ queries and 99%+ PII removal across 50k logs.
  • -Added guardrails and human-in-the-loop review with domain-specific prompt optimization.
  • -Reduced yearly processing costs from ~$430k to ~$4.2k by automating workflows and reducing manual triage.

stack:

C#PythonAzure MLLLMsNLP

output: shipped production-minded AI tooling

SURF Stanford Medicine logo

~/experience/stanford-medicine

LLM Developer Research Assistant

SURF Stanford Medicine · Jan – June 2025 · Stanford, CA

focus: HIPAA-compliant LLM backend, healthcare analytics, model evaluation

impact:

  • -Built HIPAA-compliant FastAPI backend and LLM for real-time unit analytics and predictive forecasting.
  • -Created automated test suites with benchmarking reference responses achieving 95% LLM output accuracy.
  • -Implemented secure, error-handled data pipelines for HIPAA-compliant patient flow management.

stack:

PythonFastAPILangChainSQLDocker

output: research backend for high-stakes healthcare AI

Anthropic logo

~/experience/anthropic-ambassador

Claude Ambassador Builder

Anthropic · Jan 2026 – Present

focus: AI developer tools, community demos, agent workflows

impact:

  • -Selected as Claude Ambassador Builder to advance AI-powered development tools.
  • -Building demos and projects leveraging Claude for real-world developer workflows.
  • -Engaging with the developer community on AI integration best practices.

stack:

LLMsPythonDeveloper Tools
Stanford Computer Forum logo

~/experience/stanford-csf

Student Ambassador

Stanford Computer Forum · June 2025 – Present

focus: Industry partnerships, recruiting events, CS community

impact:

  • -Facilitated collaboration between Stanford CS/EE departments and 60+ global tech companies.
  • -Organized 100+ career fairs, tech talks, and recruiting events annually with a 20-person team.
  • -Connected 1000+ students with recruiters, interview prep, and career resources.

stack:

CommunityEventsRecruiting
Jane Street logo

~/experience/jane-street

UNBOXED Fellow

Jane Street · Jul – Aug 2024

focus: Quantitative systems, SQLite, strategy analysis

impact:

  • -Selected for a 3-week quantitative trading program focusing on stats and game theory.
  • -Gained advanced SQLite skills in a workshop led by Jane Street Engineering leadership.
  • -Collaborated with Strategy & Product teams on ETF analysis and portfolio optimization.

stack:

PythonSQLiteStatistics
Stanford University logo

~/experience/stanford

B.S. Computer Science (AI Track) & Statistics

Stanford University · 2024 – Present

focus: AI/ML, systems, algorithms, probability

impact:

  • -Relevant coursework: Data Structures & Algorithms, Computer Organization & Systems, Probability, Linear Algebra.
  • -Clubs: Stanford Computer Forum, SOLE, ACM, Stanford AI Club.

stack:

C++PythonAlgorithmsML

diego@stanford:~$ ls ./projects

Projects

AI systems, NLP infrastructure, and backend work with real technical depth.

~/projects/inferscale

InferScale

ML PlatformBackendAI Systems

description: FastAPI inference microservices with Docker Compose, multi-mode routing, benchmarking harness, and C++17 deterministic replay.

highlights:

  • -Built FastAPI inference microservices with Docker Compose for scalable model serving.
  • -Implemented routing for speculative and disaggregated prefill/decode modes with benchmarking harness.
  • -Added C++17 deterministic replay on traces for reproducible performance analysis.

stack:

PythonFastAPIPyTorchDocker ComposePrometheusC++17
links:
[GitHub][Demo]

~/projects/hospital-llm

Hospital LLM

Healthcare AINLP SystemsBackend

description: HIPAA-conscious LLM backend for querying hospital operations data through schema-aware tools.

highlights:

  • -Built tool-calling backend for structured hospital data queries with schema grounding.
  • -Added guardrails for safer healthcare deployment and reliability checks.
  • -Created evaluation strategy for model accuracy and consistency on clinical operations data.

stack:

PythonLangChainDockerSQLFastAPI
links:
[GitHub][Demo]

~/projects/buicu

BUICU

Research EngineeringHealthcare AI

description: Bayesian ICU forecasting model using conjugate inference with an interactive Streamlit interface.

highlights:

  • -Built Bayesian forecasting pipeline for ICU patient outcomes with conjugate inference.
  • -Implemented Monte Carlo simulation for uncertainty quantification.
  • -Deployed interactive Streamlit dashboard for clinical analytics exploration.

stack:

PythonNumPySciPyStreamlitBayesian Inference
links:
[GitHub][Demo]

$ ls ./projects --all

~/projects/studybuddy

StudyBuddyConnect

BackendEducation/Community

description: Platform connecting students for collaborative learning and study session coordination.

highlights:

  • -Built full-stack platform for student matching and study session scheduling.
  • -Implemented user profiles, search, and real-time collaboration features.
  • -Designed for scalable academic partnership workflows.

stack:

JavaScriptReactNode.jsMongoDB
links:
[GitHub][Demo]

~/projects/headstart

HeadStart

BackendDeveloper Tools

description: Project management and productivity tool for teams and individuals tracking goals.

highlights:

  • -Built Django backend with PostgreSQL for project and task management.
  • -Implemented React frontend with team collaboration workflows.
  • -Designed data models for goal tracking and progress analytics.

stack:

PythonDjangoPostgreSQLReact
links:
[GitHub][Demo]

~/projects/trade-bot

Trade Bot

BackendAI Systems

description: Automated trading bot with algorithmic strategies, risk management, and performance analytics.

highlights:

  • -Implemented algorithmic trading strategies with configurable risk parameters.
  • -Integrated financial APIs for market data and order execution.
  • -Built performance analytics dashboard for strategy evaluation.

stack:

PythonFinancial APIsData Analysis
links:
[GitHub][Demo]

~/projects/chromatic-tuner

Chromatic Tuner

description: Web-based chromatic instrument tuner with real-time audio processing and visual feedback.

highlights:

  • -Built real-time pitch detection using Web Audio API.
  • -Created visual feedback UI for precise tuning across instruments.
  • -Optimized for low-latency audio processing in the browser.

stack:

JavaScriptWeb Audio APIHTML5CSS3
links:
[GitHub][Demo]
$ view_all_on_github

diego@stanford:~$ cat ./skills.json

Skills

Grouped by domain — languages, AI/ML, backend, systems, and research.

~/skills/languages
PythonC++C#JavaScriptTypeScriptJava
~/skills/ai-ml
LLMsLangChainscikit-learnOpenCVNLPmodel evaluation
~/skills/backend
FastAPIFlaskREST APIsDockerSQLMySQL
~/skills/systems
LinuxGDBValgrindMakememory debugging
~/skills/research
NLP systemstest-time agentsLLM evaluationhealthcare analyticsschema grounding

diego@stanford:~$ contact --help

Contact

Open to recruiting, collaboration, and conversations about AI systems.

contact --available

diego@stanford:~$ contact --available

email: dsanh14@stanford.edu

github: github.com/dsanh14

linkedin: linkedin.com/in/dsanh14

resume: request via email

Interested in collaborating, recruiting, or talking AI systems? Reach out.

$ send_email$ connect_linkedin