Amherst, Massachusetts, United States
Under the supervision of Prof. Shira Wein, I'm applied mechanistic interpretability techniques to analyze the internal computations of certain fine-tuned encoder-only LLMs (e.g., BERT variants)
Co-Founded Amherst College's first AI safety club, serving as VP (Aug 2024 - May 2025) before becoming president. ➡️Led club strategy and educational programing, growing our community to 140+ students while cultivating a dedicated core of ~10 members for weekly in-depth workshops ➡️Organized and facilitated 10 workshops per semester on topics including red teaming, mechanistic interpretability, and AI governance ➡️Represented the club at conferences, building partnerships with leading AI safety organizations and securing distinguished speakers like researcher at OpenAI
Under the guidance of Professor Kristy Gardner, I developed a program in Mathematica to analyze the trade-offs between power consumption and user latency in data centers. The program leveraged a high-performance computing (HPC) cluster to solve complex stochastic models, deriving key performance metrics like wait time and throughput to provide insights that inform optimal management policies for distributed systems.
I led a 24+ person engineering team at Amherst College's startup accelerator, working on 10+ software projects in parallel for startups, nonprofits, and Amherst College. ➡️Created system designs for projects and ensure timely, industry-standard deliverables (PRs, documentation, deployment workflows, >90% test coverage) ➡️Contributed full-stack code (Python, Django, JavaScript) across key initiatives, including Amherst Coursework, a highly-customizable, easy-to-use replacement of Amherst College's current course catalog ➡️Liaised with stakeholders to translate their needs into actionable engineering milestones
As a senior software engineer, I collaborated with a team of 20+ engineers and TPMs to bring impactful projects from concept to delivery. ➡Guided engineering efforts across 6 parallel projects to ensure project alignment, high-quality deliverables (PRs, Issues, Deployment Workflows, etc), and timely completion ➡Led system design, feature development, and unit testing across 3 projects using Django, Python, JavaScript, and .yml scripts ➡ Recruited and mentored new engineers, fostering skills to take projects from concept to launch (0 → 1)
As a visiting member of Professor Minlan Yu's group, I performed machine learning systems (MLSys) research, contributing to projects related to the scheduling of large language model (LLM) inference jobs at data centers. I created both rapid-prototype and high-fidelity Python models of inference systems, enabling quick, low-cost testing of novel algorithms.
Under the guidance of Professor Kristy Gardner, I completed a project that optimized store designs of fast-food restaurants to reduce customer wait times, creating a Python simulation to test the optimality of different designs and customer-serving policies. The project's findings were showcased in an abstract and a poster presentation.
Co-founded Amherst's inaugural hackathon, focusing on leveraging AI to improve campus sustainability. Facilitated a series of panels and discussions on the intersection of AI with ethics, the humanities, and the arts.