CONNOR R. STONE
Founder & CTO · Backend Engineer · Miami, FL
Backend engineer and founder based in Miami, FL. I build production systems — real-time trading infrastructure, AI-enabled backends, and the developer tools that teams actually rely on.
$ whoami
$ cat focus.txt
[+] real-time systems & event-driven architectures
[+] AI-enabled backends & RAG pipelines
[+] production reliability & cloud infrastructure
[+] developer tooling & workflow automation
EXPERIENCE
- [+]Delivered a production internal ERP relied upon daily by company leadership, supporting accounting, sales operations, and executive reporting.
- [+]Reduced recurring manual operational work by ~150 hours/month by modeling complex business entities and permissioned workflows in Python (Frappe).
- [+]Reduced application storage footprint by 96% while improving data durability by re-architecting file storage to offload assets to AWS S3.
- [+]Cut release packaging time from ~1 hour to ~3 minutes by building automated CI/CD pipelines with GitHub Actions and zero-touch production deployments.
- [+]Enabled 24/7 automated real-money trading across 50 user-linked exchange accounts by designing and operating a production backend platform for non-custodial crypto portfolio management.
- [+]Processed ~12,000 real-time market events per day with 99.9% uptime by designing and operating cloud infrastructure on GCP for trading execution and data ingestion.
- [+]Generated over 10TB of proprietary training data by building high-throughput data pipelines using WebSockets and Pub/Sub to stream and persist high-frequency order book data.
- [+]Maintained uninterrupted production operations involving real capital — resolved 25+ production incidents without custodial exposure.
- [+]Improved executive visibility across sales and recruiting by implementing a customized internal CRM supporting 150+ active users across 3 offices, improving average employee output by 40%.
- [+]Enabled 20,000+ automated outbound SMS messages per week by designing custom modem-based software, increasing client intake by 150 applications/month.
- [+]Built backend services for an AI-driven financial intelligence platform using TypeScript and Express, enabling scalable analytics workflows for operators and CFOs.
- [+]Delivered v1 and v2 of an LLM-powered assistant by designing and implementing RAG infrastructure with ChromaDB to ground responses in structured financial data.
- [+]Migrated AI services from Python to TypeScript to align with the core application stack, improving maintainability across a team of five engineers.
RECOGNITION
SKILLS
Python · TypeScript · JavaScript · Golang · C · SQL
REST APIs · WebSockets · Event-Driven Architectures · Real-Time Systems · Linux Services
PostgreSQL · Vector Databases · Pub/Sub Messaging · High-Throughput Ingestion
GCP · AWS · Docker · CI/CD Pipelines · Production Reliability · Cost Optimization
LLM Integration · RAG Architectures · Context Engineering · Data Grounding Pipelines
PROJECTS
Non-custodial cryptocurrency portfolio management platform. Production backend supporting 50 user-linked exchange accounts with 24/7 automated trading, real-time market data ingestion, and live risk management.
LLM chat aggregator that gives users access to multiple frontier AI models in a single interface. Compare outputs, switch models mid-conversation, and surface the best response for any task.