I'm 0 years old.
I studied at CMU's School of Computer Science.
I like to work in this intersection!
But around it is interesting, too.
Experience
Founding Engineer
(stealth)
November 2025 - Present
Software Engineer
Sierra
June 2025 - November 2025
San Francisco, CA
Helped improve, extend, and ship enterprise conversational AI agents for customers in home security, health insurance, and electronics—with several agents serving hundreds of thousands of conversations per week.
Spent two months deeply learning the Sierra Agent SDK to develop agents across multiple customers. Got interested in contributing to the SDK on the side, and was given the opportunity to join the core platform team.
On core, worked on a variety of platform projects—SDK bug fixes and optimizations, runtime tracing, reference agents, automated agent development, agent simulation, developer experience, and ChatGPT apps integrations. One SDK optimization alone saved Sierra on the order of $500k+ projected per year.
Co-founder
Fundusol (acquired by Okovate)
October 2021 - December 2025
Stanford, CA
Co-founded Fundusol and worked remotely for several years on a suite of Agrivoltaic system simulators during school.
Fundusol was acquired by Okovate Sustainable Energy and designed 850 MW of solar in 2024.
Led a team to develop 3D visualizations, GPU-based ray tracing software, and genetic algorithms for designing and optimizing agricultural PV systems. Pitched to VCs, pitch competitions, and engaged with solar developers, which helped secure $100k in revenue and $100k+ in funding (from Stanford TomKat Center and the U.S. Department of Energy). Work was primarily done in Python (PVLib and Streamlit) and C++.
Software Engineering Intern
Citadel Securities
June 2024 - August 2024
Chicago, IL
Tested, benchmarked, and optimized a low-latency trading application. Achieved a 75% reduction in latency which unlocked thousands of dollars in daily trading opportunity. Learned about distributed systems, networking, and software engineering practices in a high-risk, high-speed environment.
Software Engineering Intern
Amazon Web Services
June 2023 - September 2023
Seattle, WA
Developed a patching and vulnerability detection tool that scanned 10,000 EC2 servers per day. Created a tight iteration loop with the ELB team and improved their workflow, eventually saving them over 10 hours per week with the tool. Learned about product design, web development, and the AWS SDK. Used Python and pure JS/HTML/CSS (so sad).
Software Engineering Intern
Gallus Insights
June 2022 - August 2022
Remote
Led development of Gallus Analytics, a full-stack mortgage data visualization tool, and created a predictive model for mortgage market metrics. The tool secured hundreds of customers and helped win a multibillion-dollar lender as a client. Learned about product design, full-stack development, and data visualization.
Coding Instructor
Codellege by Softtek
Summer 2020 & Spring 2021
Monterrey, Mexico
Designed 3-month Arduino programming course and taught to dozens of underserved students as part of the "START" program.
Projects
Avalon Learn
January 2025 - Present
Reinventing grading and student feedback in higher education with a new platform. In just 3 months, we built a tool that is being used by several CMU / Pitt courses in Spring 2025, and secured 20+ more commitments for the Summer and Fall of 2025. We've been awarded $12,500 through two pitch competitions at CMU (CMU VC and McGinnis).
COMPASS
October 2024 - December 2024
We implemented an OMPT performance analysis and debugging tool for C++ programs with OpenMP directives. COMPASS performs event logging and deadlock detection at runtime, and outputs several visualizations post-mortem: an execution graph as well as a detailed breakdown of time spent across critical regions, parallel work, barrier waiting, and other key areas.
Needle Weld
October 2024 - December 2024
Developed an operator tree GPU kernel fusion library for the Needle machine learning library. Needle Weld scans computational graphs at runtime, detects "trees" of binary operators in the graph (that would have previously each been independently executed by separate kernels in topological order). It then generates and compiles a CUDA kernel to combine those operations and replaces that tree with the new kernel in the computational graph, all at runtime.
Automating Codenames Spymasters
March 2024 - May 2024
Developed a novel ensemble word-to-vector model to create an automated "spymaster" for the popular game of "Codenames". Resulted in a 27% improvement from the state-of-the-art. Novel techniques included a multi-definition / mixture of models approach and use of the therandomized weighted majority algorithm.
TAI
February 2023 - February 2024
Developed an LLM question-answering app for YouTube videos that got 1st place at CMU's TartanHacks 2023. Expanded to a Chrome Extension that got over 500 downloads and a feature on Chrome Web Store. Later, partnered with a leading Sri Lankan educational platform to expand the tool's reach.
Panda Bot
September 2023 - November 2024
Collaborated with Professor Ada to develop a chain-of-thought, multi-agent RAG system to help instructors answer student questions more efficiently in the notoriously difficult CMU Theoretical Computer Science course, 15-251. Answered thousands of questions more quickly and effectively with Panda Bot.
