Zachary Geddes

Product Manager • AI & Machine Learning Engineer • Full-stack Engineer • New York, NY, US

Product Management

TypeScript

Python

Machine Learning

Javascript

Available for hire fromNegotiable

Contracts

Full-Time Roles

Product manager and previous software engineer with experience launching consumer-facing features at both large companies and small startups.

I am a senior at Columbia University studying Applied Math and Art History. I've previously worked in machine learning and AI at IBM as a software engineering intern and in product management launching new AI features at Ignition. Outside of work, you can find me exploring new museums or discovering new restaurants here in New York.

Projects

PocketAdvocate

Developed natural language processing methods for analyzing biomedical literature and generating medication/therapy recommendations based on patient diagnosis, adverse effects, and risk factors (Python, scispaCy, huggingface, PyTorch).See More

Work History

Product Management Intern

IgnitionMar 2022 - Aug 2022 • 6 mos• Led the creation of 3 generative AI features for the core SaaS platform end-to-end, effectively managing KPIs throughout the product lifecycle. • Collaborated with cross-functional teams, including designers, developers, and company leaders, to define feature requirements and drive decision-making from conception to implementation. • Created strategic product roadmaps using Jira and developed RESTful APIs using NestJS (TypeScript) and GraphQL.

Software Engineering Intern

IBMJan 2021 - Dec 2021 • 1 yr• Developed deep autoregressive neural network models for probabilistic forecasting of time series data using Python, leading to a 17% reduction in IBM Cloud clients' virtual computation usage and costs. • Designed and implemented an analytics platform to visualize IBM Cloud clients’ data and optimize resource usage. • Facilitated communication between internal and external stakeholders, ensuring product requirements aligned with strategic objectives.

Software Engineering Intern

IBMJun 2020 - Dec 2020 • 7 mos• Led the re-platforming and migration of legacy supply chain applications to IBM cloud, resulting in a cost reduction of $250K/yr. • Containerized and deployed legacy software using Docker and Kubernetes, leading to significant savings on server costs. • Conducted cost-benefit analysis to identify applications suitable for modernization, enhancing overall efficiency.

Education

Columbia University

Bachelor's Degree, Mathematics and Art HistoryPresent

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