Hi, I'm Lawrence
Software Engineer.
Voice AI specialist · customer-facing engineer.

Full-Stack Engineering
Design and ship complete web applications with React, Next.js, Node.js, and TypeScript — from database to interface.
Cloud & DevOps
Architect scalable, cost-effective systems on AWS — Lambda, API Gateway, S3, RDS, CloudFront, and beyond.
AI-Native Workflows
Embrace vibe coding with Claude Code and MCP servers to prototype, debug, and ship faster — using AI as a daily multiplier for quality and speed.
Portfolio
Selected Projects
A few of the products, apps, and research projects I've designed and built.
Duets.ai
Backend Developer, Team LeadAI-powered education app on the Zoom Marketplace
Led a team of six to build an AI-powered education platform that lives inside Zoom — handling OAuth account linking, Stripe subscription payments, secure auth, and AI-generated Student Learning Insight reports. Published as a beta app on the Zoom App Marketplace.
CodingWithBoba.com
Cloud Developer (Solo)Cloud-native AI app that solves LeetCode problems
Designed and deployed a fully serverless, AI-powered React application that fetches coding problems from LeetCode, generates solutions with Google Gemini, and verifies them automatically via the JDoodle API — all on AWS.
Taxi Meter App & Dashboard
Full Stack Web & Mobile Developer (Solo)Cross-platform taxi meter with a fleet web dashboard
Built an iOS/Android taxi meter that tracks distance and time via GPS, computes real-time trip costs, and emails trip summaries. Paired it with an online portal so taxi companies can visualize routes and analyze fleet trip data.
Wind Speed & Energy Prediction
Team MemberCNN-LSTM model forecasting wind turbine output
Built and validated a CNN-LSTM model to forecast wind speeds from the ERA5 dataset, then converted predictions into energy production estimates for Bay Area turbines — achieving a test MSE of 1.13 and benchmarking against NBM forecasts.
GAYA
Full Stack Web DeveloperLaunch platform for a women's health supplement startup
Developed the full-stack launch platform for a women's health supplement startup, leading the React frontend design and deploying the AWS-backed backend for public accessibility.
Career
Experience
A decade on the customer-facing side of engineering — from technical support to forward-deployed work.
Apr 2026 – Present
Senior Applied Engineer
Deepgram · San Francisco, CA
- Forward Deploy Engineer on Deepgram for Restaurants, embedded with retail and restaurant customers to deliver Voice AI applications from prototype to production.
- Lead technical discovery and solution design, partnering with Account Executives through complex sales and procurement cycles.
- Prototype and ship full-stack integrations in Python, JavaScript, and Rust, backed by observable systems that enable customer deployments.
- Codify delivery patterns into tools, playbooks, and reference architectures reused across Applied Engineering.
- Feed field insights to Product and Engineering to shape model development and Deepgram's restaurant go-to-market strategy.
Jun 2025 – Apr 2026
Applied Engineer
Deepgram · San Francisco, CA
- Owned end-to-end post-sales customer engagements, providing direct technical guidance and solutions.
- Resolved complex support issues as the escalation point and reworked support processes to cut recurring work.
- Built automated solutions and self-service tools so customers could solve common challenges independently.
- Analyzed ticket patterns to surface product improvements and advocate for customer needs on the roadmap.
Aug 2023 – Dec 2024
Teaching Assistant
University of San Francisco · San Francisco, CA
- Assisted in teaching object-oriented programming, data structures, and graduate-level algorithms courses.
- Troubleshot student code and delivered detailed feedback to deepen understanding for the next generation of students.
Dec 2021 – Aug 2022
Implementation Engineer
Adyen · San Francisco, CA
- Led technical integrations for customers adopting Adyen's payment solutions, from onboarding to go-live.
- Built JavaScript and Python Flask sandbox apps for pre-sales demos and served as the POS subject matter expert.
Jun 2019 – Dec 2021
Technical Support Engineer, Point of Sale
Adyen · San Francisco, CA
- Diagnosed and resolved hardware and software issues on POS terminals for merchants during integration and daily use.
- Automated routine tasks with Python, JavaScript, and Bash, and expanded the North American POS support team.
Let's build something together.
Have a project, research idea, or opportunity in mind? I'd love to hear about it. Collaboration and interesting problems are what I enjoy most.