CV

Software engineer in New York, with a background in data science, machine learning, and mathematics. Email · LinkedIn · GitHub

Experience

Databricks

Software Engineer L4 · August 2024–present · New York

Building CustomerLake, Databricks’ customer data platform (CDP), with contributions across data ingestion, data modeling, audience creation, integrations, and campaign execution. Delivering full-stack features across Scala services, APIs, TypeScript, and React. Owning production rollouts, working directly with customers and field teams to turn feedback into product improvements, and mentoring a new graduate engineer.

Software Engineer L3 · May 2023–July 2024 · Amsterdam

Built core experiences for Workflows and Jobs, including task configuration, scheduling, compute selection, dependencies, and notifications. Developed a shared scheduling experience and improved application reliability, testing, and observability.

Harvard University

Visiting Postgraduate Researcher · September 2022–October 2023 · Boston

Researched machine learning for whole-slide pathology images, including self-supervised learning, graph neural networks, and vision transformers. Built and deployed a REST API for finding regions of interest in slide images.

Read my master’s thesis on vision transformers for high-resolution pathology images.

University of Geneva

Software Developer · September–December 2022 · Geneva

Developed a Python library for modeling energy needs with graphs, extending support for networks and geospatial data.

NEC Laboratories America

Software & Research Intern · February–August 2022 · Princeton

Researched data augmentation for medical image segmentation and the use of generative adversarial networks for cancer cell detection.

EPFL

Teaching Assistant, Machine Learning · September 2021–February 2022 · Lausanne

Supported the CS-433 master’s course for more than 500 students through weekly teaching sessions, project grading, and exam preparation.

Research Assistant · September 2021–January 2022 · Lausanne

Studied decentralized federated learning in the Scalable Computing Systems Laboratory, focusing on the computational implications of D-Cliques network topologies.

Arcanite

Machine Learning Intern · July–September 2021 · Lausanne

Implemented conditional generative models for handwritten word generation in PyTorch Lightning.

EnergyByte

Machine Learning Consultant · December 2020–February 2021 · Melbourne

Helped deploy a convolutional neural network for rooftop detection in satellite imagery to support urban energy planning.

Education

EPFL

M.S. in Data Science · 2020–2023

Master’s thesis in Biomedical Informatics at Harvard University, September 2022–March 2023.

B.S. in Mathematics · 2017–2020

Skills

Scala, TypeScript, React, Python, REST APIs, PyTorch, machine learning, computer vision, and full-stack software development.

Research & teaching

Explore my publications, research projects, and teaching.