# Dakota McDaniels > AI @ Robinhood Location: San Francisco, California, United States Profile: https://flows.cv/dakotamcdaniels ## Work Experience ### ML/AI Software Engineer @ Robinhood Jan 2024 – Jan 2025 | Menlo Park, California, United States ### Co-Founder and COO/CTO (Acq. by $HOOD) @ Pluto Jan 2021 – Jan 2024 | Los Angeles, California, United States Fundraising and Leadership: ∗ Raised $5M in VC funding to build and scale Pluto’s AI financial advisory product. ∗ Scaled the technology and team to support 25,000 users and over $40M in tracked assets. ∗ Conducted 100+ interviews after sourcing candidates from AngelList, recruiters, and inbound applications. ∗ Hired a team of 3 engineers and product designers. Infrastructure and Cloud Computing: ∗ Architected and deployed 50+ K8s microservices and cron jobs alongside CI/CD with CircleCI. ∗ Managed a 30 node Kubernetes cluster with over 1TB of RAM to support a 10,000 pod workload. ∗ Built an order management system to process 12.5M trading decisions every hour using Kafka. ∗ Achieved 99.99% system uptime through comprehensive monitoring and observability. ∗ Engineered a high-performance database architecture using MongoDB and Redis, which supported ultra-high transaction volumes of 100+ million per month with average latency under 10ms. Product Management and AI Innovation: ∗ Single-handedly streamlined the entire brokerage integration process to operational readiness in just 14 days – covering payment rails, KYC, order management, and compliance – shattering the typical 6-month timeline for a traditional team of 10. ∗ Overhauled the user onboarding experience, simplifying KYC and deposit/withdrawal processes, which increased user conversion rates by 30%. ∗ Introduced the first AI financial assistant that uses advanced NLP techniques like CoT, RAG, and ReAct to provide accurate and contextually relevant responses to user queries. ∗ Implemented measures to reduce irrelevant or inconsistent responses by 90%, significantly improving user experience and engagement. ∗ Pioneered an AI-powered UI that generates real-time charts and insights based on user prompts for a wide range of financial topics, from individual stock performance to market trends. ### Cyber Security Engineer @ Lowe's Companies, Inc. Jan 2020 – Jan 2021 | Mooresville, North Carolina, United States ◦ Published minimum security baselines for 180,000+ instances including operating systems, applications, and PCI-DSS compliant devices. ◦ Designed security baselines for multiple Linux distros, NoSQL databases, NGINX, and PostgREST. ◦ Led security compliance monitoring across a 70-team organization through routine reporting and notifications. ### Information Security Analyst @ Lowe's Companies, Inc. Jan 2020 – Jan 2020 | Mooresville, North Carolina, United States ### Undergraduate Research in Cyber Security @ Office of Naval Research Jan 2020 – Jan 2020 ◦ Researched DDoS attack mitigation using Palo Alto’s next-generation firewalls. ◦ Developed training materials for CI engineers on high-throughput, low-latency network environments. ◦ Awarded part of the $499,959.00 grant for ”Cyberinfrastructure Expertise on High-throughput Networks for Big Science Data Transfers” (NSF 1829698). ### Network Security Engineer @ University of South Carolina Jan 2018 – Jan 2020 | Columbia, South Carolina Area ◦ Supervised and mentored nine Computer Science interns, directing project workflows over six months. ◦ Resolved 445 network and security incidents, accounting for 42.5% of the internship program’s total output. ◦ Managed network infrastructure with over 850 switches and 4,100 access points across the campus using industry-standard tools like SolarWinds, Cisco, and Aruba ClearPass. ### Computer Technician @ Carolina Tech Zone Jan 2019 – Jan 2019 | Columbia, South Carolina Area ## Education ### Bachelor of Science - BS in Computer Science University of South Carolina ## Contact & Social - LinkedIn: https://linkedin.com/in/dakota-mcdaniels --- Source: https://flows.cv/dakotamcdaniels JSON Resume: https://flows.cv/dakotamcdaniels/resume.json Last updated: 2026-03-29