Education
A.B. in Computer Science, secondary in Statistics · GPA: 3.92/4.00
Coursework: Machine Learning, Artificial Intelligence, Algorithms, Distributed Systems, Linear Algebra.
Experience
Search Infrastructure · Mountain View, CA
- Reduced p95 retrieval latency by 18% in a staging service processing 2 million daily requests by implementing batched lookups and profiling cache behavior in C++.
- Cut regression triage time by 30% for eight engineers by building a Python dashboard that compared ranking metrics across nightly builds and flagged statistically significant changes.
CRM Platform · Cambridge, MA
- Increased successful contact imports from 94% to 99.2% in a 50,000-record test set by adding schema validation, idempotent retries, and actionable error messages to a Java service.
- Saved the support team six hours per week by shipping a React and TypeScript debugging tool that surfaced failed sync events and suggested recovery steps.
Machine Learning Research · Cambridge, MA
- Improved rare-class F1 by 12 percentage points on a 40,000-image benchmark by developing a contrastive-learning pipeline in PyTorch and evaluating five augmentation strategies.
- Reduced experiment turnaround by 35% across 120 training runs by automating dataset validation, hyperparameter sweeps, and reproducible evaluation reports for a four-person research team.
Projects
- Raised citation accuracy from 76% to 93% on 200 evaluation questions by building a retrieval-augmented assistant with hybrid search, reranking, and source-linked answers over 5,000 papers.
- Lowered forecast MAE by 22% against a seasonal baseline by training a temporal model on 1.2 million trips with weather features and leakage-free time-series validation.
Leadership & activities
Harvard Computer Society · Workshop Lead. Taught six Python and ML workshops to 80 students; mentored four teams through their first deployed projects.
Harvard Data Analytics Group · Project Member. Built a volunteer-matching dashboard with five classmates, reducing manual scheduling time by 40% for a local nonprofit.
Technical skills
Languages: Python, C++, Java, TypeScript, JavaScript, SQL
Engineering: React, FastAPI, PostgreSQL, Git, Docker, Linux, Google Cloud
ML & AI: PyTorch, scikit-learn, Hugging Face, pandas, NumPy, RAG, model evaluation
