# Phil Labrum > Software Engineer Location: New York, New York, United States Profile: https://flows.cv/phillabrum With over three years of work experience in machine learning, quantum computing, and education, I am passionate about creating and delivering cutting-edge courses that empower learners to master the skills and concepts of the future. My mission is to inspire and equip students, professionals, and educators with the tools and knowledge they need to succeed in the rapidly evolving fields of AI and quantum software engineering. I bring diverse perspectives and experiences to the team, having worked with leading organizations such as Google Quantum AI, IBM Quantum, Amazon Web Services, and Harvard University. Until November 2022, I was a course developer and lead instructor at The Coding School, where I designed and taught machine learning and quantum computing courses for various audiences and partners. I created 12 machine learning lectures and ten problem sets using Pandas, PyTorch, Sci-Kit Learn, and AWS SageMaker for the AWS Train AI professional development course. I also developed and taught lessons, labs, and exercises in intensive courses on computer science and quantum software engineering for the Early Quantum Career Immersion (EQCI) program, in partnership with Google Quantum AI, IBM Quantum, Qunnect, BP, and the Unitary Fund. In both roles, I used my skills in leadership, research, and data analysis to deliver engaging and rigorous content that challenged and motivated the learners. ## Work Experience ### Senior Software Engineer @ Ramp Jan 2025 – Present | New York, United States Building core ledger and financial infrastructure. ### Full Stack Software Engineer @ Moab Jan 2025 – Jan 2025 | New York, New York, United States • Early engineer at Moab, an Elad Gil backed startup delivering a vertical Saas for heavy machinery rental companies. • Owned end-to-end development of Moab’s ledger-based asset tracking platform, extending the financial ledger platform to track physical assets with full auditability and event-driven state transitions. • automating reconciliation workflows and reducing inventory count cycles from three weeks to under 24 hours. • Delivered a full stack global search platform, optimizing database performance with advanced indexing, text search vectors, and pgvector-based embeddings for LLM-driven queries. ### Founding Software Engineer @ Altir Industries, Inc. Jan 2023 – Jan 2025 | New York, New York, United States • Founding engineer at Altir, a Founders Fund backed fintech startup building a treasury management platform for franchise businesses. • Architected real-time banking data platform integrating Plaid and Teller, and a Postgres-backed ETL and ML labeling pipeline to categorize financial transactions, powering automated financial insights and reporting. • Developed dynamic analytics dashboards in React and D3 with interactive, query-driven visualizations for treasury and cashflow intelligence. • Implemented secure ACH and wire transfer workflows using Treasury Prime’s API, enabling seamless customer fund movements end-to-end. ### Non-profit Fellowship | Quantum Machine Learning @ The Coding School Jan 2022 – Jan 2022 | New York, New York, United States • Contributed to early versions of IBM’s Qiskit Textbook, developing educational modules and algorithms in quantum machine learning using Qiskit and pyQuil. • Designed and led an applied quantum computing workshop with Prof. Franz Klein, collaborating with NASA Goddard and CSIRO researchers to prototype quantum algorithms for climate-data analysis. ### Machine Learning Researcher | Computational and Cognitive Neuroscience Lab @ Harvard University Jan 2021 – Jan 2021 | Cambridge, Massachusetts, United States • Used reinforcement learning models to explore human decision-making using MATLAB, Python, and Stan statistical programming Libraries • Used a high-performance computing cluster to train Bayesian inference machine learning algorithms on human test data. ### Teaching Fellow, IBM Quantum | Qubit by Qubit @ IBM Jan 2020 – Jan 2021 | Cambridge, Massachusetts, United States • Instructed 1100 students across two labs in the Qubit by Qubit year-long introductory quantum computing course, teaching quantum mechanics, theoretical computer science, and quantum software engineering ### Software Engineering Intern @ SHEPHERD Therapeutics Jan 2019 – Jan 2019 | Greater Boston Area • Helped construct the DELVE analytical platform, a full-stack web application using a Python Django backend and a PostgreSQL database, increasing the efficiency of the data pipeline between the genomics and analytics teams • Reduced the cell line assay false-positive error rate by 15% by discovering a preprocessing data error in the gene therapy lab ### Talent Acquisition Associate @ RP International Jan 2018 – Jan 2018 | London, United Kingdom • Recruited for specialist roles in the technology sector, and managed relationships with major technology vendors to find contractors and full-time employees. ## Education ### Bachelor of Arts - BA in Computer Science Harvard University ### Eton College ## Contact & Social - LinkedIn: https://linkedin.com/in/phil-labrum-profile - Website: https://www.plabrum.com --- Source: https://flows.cv/phillabrum JSON Resume: https://flows.cv/phillabrum/resume.json Last updated: 2026-04-07