Hi, my name is
I’m a full-stack engineer specializing in building (and sometimes designing) AI-powered software for the web. Currently, I’m building helping make AGI happen at xAI
I’m passionate about building products that people want. I particularly enjoy delivering value through intuitive and visually stunning products that solve real problems.
I generally prioritize getting products into the hands of my customers quickly and iterating based on feedback, rather than sweating the little things and trying to always be perfect
I’m always looking for new challenges and opportunities to learn and grow as a software engineer, and I’m excited to see what the future holds.
Dec 2024 - Present
Helping make AGI happen
Jan 2024 - Dec 2024
Rapidly built and launched an LLM-powered hardware co-designer that helps Field Application Engineers find, compare, and evaluate electronic components using natural language. Designed and developed the frontend with features like generative UI, human-in-the-loop feedback, and tiered access control. Contributed to FastAPI RAG backend using Pinecone, Elasticsearch, and Langchain. Built data extraction pipelines for processing PDF datasheets.
Jun 2023 - Aug 2023
Added support for live streaming metadata for over 120K radio stations, which contributes to enhanced user experience and content discovery for search on the TuneIn platform, while aligning with TuneIn’s core values - Customer Centricity, Operational Excellence and Teamwork.
Nov 2021 - Apr 2022
Led end-to-end development of several full-stack projects, including a microservice that handles biometric payments for an unmanned stored and a search system for Kyushu Electric that allowed their employees to manage inspection information about buildings.
Jul 2020 - Oct 2021
Contributed to projects in various capacities, including backend development with NodeJS and Python, Web GUI using React and TypeScript and DevOps flows with AWS using EC2, ECS, Docker and CloudWatch in a fast-paced le/SCRUM environment
Feb 2020 - Jun 2020
Conducted AI Experiments that resulted in a 7% accuracy improvement in the KNN-supervised classifier. Fine tuned a BERT-based model to automate support requests in an apartment intercom system.
Typescript is my preferred language for building applications for the Web, in team settings. The type system helps me catch bugs before they happen, and the language is very expressive.
2022 - 2023
GPA: 4.0
2016 - 2020
GPA: 4.0