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Tucker Connelly
Full-Stack Software Engineer
Email: | web@tuckerconnelly.com |
Portfolio: | tuckerconnelly.com |
Experience
- •Designed & engineered a ChatGPT-like platform, developing scalable document-processing pipelines using Python and Kubernetes, and real-time updates via websockets.
- •Ran market research and prototyped an AI-agent system that overcame many of the limitations of vanilla GPT-4. Also achieved 2-4x the industry average in conversion rates through landing page optimizations.
- •Briefly pivoted into recruiting, building an AI talent sourcer that could source and reach out to 400 qualified candidates per hour (up to 40x more efficient than humans).
- •Delivered an analytics dashboard MVP in 8 weeks, overcoming many difficult technical challenges while scaling our scraping pipelines. The resulting MVP secured enterprise contracts with major restaurant brands and a $14mm funding round with Sequoia.
- •Expanded our analytics dashboard into a cross-platform tablet app for in-restaurant order management. Solved many complex engineering challenges such as using directed cyclic graphs to model menus, creating a custom thermal printer driver, and scaling real-time data-processing queues to fetch orders every 30 seconds. This tablet app broadened our market reach into the small business segment, significantly boosting revenue.
- •Co-created a “Spotify for news” platform. Re-architected our Kubernetes-based web-crawler for simplicity and scalabilty, and piped all that data into customized feeds for users in a Next.js frontend.
- •Developed a cloud-based operating system grounded in fundamentals, modeling all external entities as file descriptors. This new architecture made integrations extremely quick to build, and facilitated our next phase of revenue growth.
- •Rebuilt the company’s frontend architecture in several days, creating to a React codebase we used for over two years.
- •With the CTO, led the transition to a Kubernetes-based microservices architecture, which enabled our AI pivot and increased our scalability.
- •Created and deployed NLP machine-learning models and human-in-the-loop systems, providing new revenue streams and proving our new AI capabilities to our customers.
Freelancer | 2007 – 2016
- •Delivered diverse projects for clients, including a computer vision system for a popular wine app, an entire frontend for a data-driven online magazine, a backend module for a government agency, and many other projects.
Education
Skidmore College – 3.8 GPA
Left before senior year to pursue software work.
Core Skills
- System Architecture•
- UI/UX Design•
- Lean Development•
- Distributed Systems•
- AI and Machine Learning•
- Recruiting
Technologies
- JavaScript•
- React•
- Next.js•
- Node.js•
- Python•
- Kubernetes•
- AWS•
- GCP•
- PostgreSQL•
- MySQL•
- TensorFlow•
- LLM•
- and more