Rodrigo Arguello

Experience

Monterrey, Mexico · Mar 2024 – Aug 2024

Architected a cloud-native route optimization microservice on AWS Lambda, Step Functions, and S3 processing 200+ daily delivery stops; reduced average route time ~25% vs. manual planning.
Designed a k-means classification pipeline partitioning city regions into delivery zones with configurable constraints (mountains, highways), enforcing cluster completion before cross-zone hops.
Implemented batched optimization with ~10-stop look-ahead heuristics to respect Google Maps API limits; instrumented CloudWatch metrics, reducing external API costs by 40%.
Deployed an AWS production system (Lambda, SQS, S3, CloudWatch, IAM) with stream ingestion and cross-region S3 replication for disaster recovery, sustaining 99.5% uptime.

Automation Builder Core Team · San Francisco, California · Feb 2022 – Apr 2023

Redesigned the breadcrumb navigation system for Salesforce Flow Builder, improving UX for 150,000+ daily active users building workflow automations.
Resolved 50+ critical production incidents with QA and product teams, maintaining platform stability for enterprise customers.
Built Splunk logging and metrics dashboards over AWS-hosted Flow services and wired alerts into the deployment pipeline; reduced mean time to detection by 30%.
Worked in an agile scrum team on a two-week release cadence (sprint planning, daily stand-ups, retrospectives).

Marcus Lending Platform · Dallas, Texas · Jul 2021 – Dec 2021

Architected an automated end-to-end testing platform for Marcus loan application onboarding, letting the Lending team run integration tests 3× faster without touching production data.
Developed Python REST API endpoints for loan application creation, validation, credit checks, and status updates across the lending pipeline.
Redesigned the customer selection parser that queries and filters applicants, reducing data retrieval time by 40%.

New York, New York · Jun 2020 – Aug 2020

Built a Python OCR application using Tesseract to automate transcription of cash receipts, eliminating manual data entry for the operations team.

castlesiege.fly.dev · TypeScript, React Native / Expo, Node.js, WebSocket, PostgreSQL, Web Workers, Fly.io / Docker, CI/CD

Built an in-browser game AI (Monte Carlo Tree Search + alpha-beta search, Zobrist-hashed move ordering) in an off-main-thread Web Worker; powers a practice bot and automated self-play that stress-tests balance and fairness.
Designed a data-driven, patchable rules engine in pure TypeScript (asymmetric pieces, multiple win conditions, repetition-based anti-stall), verified by 1,600+ automated tests; built end-to-end via an AI-driven multi-agent development workflow with gated CI.
Shipped a Node.js + WebSocket server with PostgreSQL Glicko-2 ranked matchmaking and captcha-protected auth, self-hosted on Fly.io; CI/CD runs a test gate, image smoke test, and health check with auto-rollback.

Python, PySpark, Spark SQL, Spark MLlib, BigQuery, GraphQL

Built a 4-stage PySpark pipeline ingesting 226K+ on-chain wallet fills across 6 geopolitical markets ($240M+ volume); detected price spikes with Spark SQL rolling-window functions.
Constructed a domain-specific knowledge base over the GDELT news corpus in BigQuery and trained a Spark MLlib random-forest + k-means model to flag suspected insider wallets.

Python, LLM agent architecture, Anthropic / OpenAI SDKs, BeautifulSoup

Engineered an LLM-backed agent architecture with pluggable DecisionPolicy and CrawlPolicy abstractions, accepting natural-language crawl goals to drive semantic relevance decisions.
Implemented a keyword baseline (density-plus-coverage scoring, 3× title weighting, min-heap frontier with dedup and depth penalties) for A/B comparison against the LLM policy.

New York University Tandon School of Engineering · New York, New York · Aug 2024 – May 2026 · GPA 3.5

New York University Tandon School of Engineering · New York, New York · Aug 2017 – May 2021 · GPA 3.3

Languages: Java, Python, JavaScript, TypeScript, React, SQL
Backend: REST APIs, microservices, distributed systems
Cloud / Infra: AWS (Lambda, API Gateway, DynamoDB, S3, SQS, Step Functions, CloudWatch, Cognito, IAM); IaC with AWS SAM and CloudFormation
Data / ML: PySpark, Spark MLlib, Spark SQL, BigQuery
AI / LLM: Anthropic SDK, OpenAI SDK, agent architectures
Tools: Node.js, Docker, Git, CI/CD