Zvi Boshernitzan Resume

Founder, PyReps 2021–Present

Daily Python-practice platform.

Engineered SPA prototype with custom schemas, prioritizing data flexibility to support rapid product iteration.
Built offline generative pipelines using LLMs to author and validate structured drill content.
Deployed Rails backend to manage user acquisition, validating core mechanics via rapid prototyping.

Staff Software Engineer, Outreach.io 2018–2021

Sales-engagement SaaS improving outbound revenue efficiency.

Deployed BERT-based NLP models on multi-cluster Kubernetes, processing millions of emails daily.
Optimized ML inference pipelines (Python, Kafka, SageMaker) to significantly reduce latency and cost.
Implemented Datadog/Wavefront observability and alerting, reducing incident load.

Senior Software Engineer (Employee #7), Kiva.org 2007–2017

Global micro-lending non-profit.

Re-architected core platform (DB queries ~250→3) to withstand national-media traffic spikes.
Architected partners.kiva.org, the operational hub supporting $1B+ in micro-loans.
Engineered modular SQL reconciliation engine to automate daily audits and financial integrity.

Co-Founder / President, Robocommerce 2003–2007

Built an SMB warehouse/order-management platform (storefront, inventory, fulfillment, CRM, reporting), supporting $7.8M+ in customer transactions.

Early Engineering Roles 2000–2003

My Best Health (ASP/SQL hospital systems), ArsDigita (Oracle-backed CMS, consulting), and 3GWT (Python automation for VA pharmacy).

Building Blocks 2017: blockchain-based aid distribution for the World Food Programme (POC and pilot).
Intercontinental Ballistic Microfinance 2011: High-resolution visualization of global Kiva loan activity.

Rice University — B.A. Biochemistry

Coursework in CS, algorithms, software engineering.
Research in molecular biology; Teaching Fellow in Genetics and Molecular Biology.

Languages: Python, Ruby, JavaScript, PHP

Cloud & Infrastructure: Kubernetes, AWS (Lambda, SageMaker, EMR)

Machine Learning: MLOps, distributed inference, inference optimization, observability

Data & Storage: Kafka, Spark, PostgreSQL, MySQL, Oracle

Web Technologies: Rails, React, high-performance MVC, caching