Joshua Kristein
@joshuakristein
Senior full-stack engineer specializing in scalable AI systems, real-time pipelines, and personalization.
What I'm looking for
I am a Senior Full-Stack Software Engineer with nine years building scalable, AI-powered applications and distributed systems, primarily at Meta. I specialize in Python, React, Java, and PHP, and have led architecture and productionization of RAG pipelines, transformer-based integrations, real-time data processing, and high-throughput microservices to drive measurable improvements in personalization and performance.
I architected and scaled the Instagram Reels feed and semantic search, improving watch time and relevance through LLM integrations, Kafka-based exactly-once pipelines, resilient microservices, and optimized model serving. I mentor junior engineers, collaborate closely with ML and product teams, and deliver robust monitoring, testing, and CI/CD practices that reduce latency, increase uptime, and catch regressions before release.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
Meta
Aug 2020 - Present (5 years 7 months)
Architected and scaled Instagram Reels personalization and semantic search pipelines, increasing average session watch time by 28% and reducing inference latency by 63% while maintaining 99.97% uptime. Built real-time Kafka-based data pipelines, GraphQL microservices, and React/Next.js frontends, and mentored engineers leading to multiple promotions.
Software Engineer
Meta
Jul 2017 - Jul 2020 (3 years)
Contributed to RPC routing and service discovery infrastructure, building high-availability microservices and real-time dashboards that supported tens of thousands of services and billions of daily RPCs. Improved reliability with Redis caching and Python integration tests for sub-second failure detection.
Education
Degrees, certifications, and relevant coursework
University of Florida
Bachelor of Science, Computer Science
2013 - 2017
Completed a Bachelor of Science degree with coursework in computer science and software engineering fundamentals from 2013 to 2017.
Tech stack
Software and tools used professionally
Microsoft Azure
GitHub
GitLab
Kubernetes
Docker Compose
GitHub Actions
React Native
MySQL
PostgreSQL
MongoDB
Cassandra
Gmail
Node.js
Django
Spring Boot
Ruby on Rails
Next.js
Tailwind CSS
Redis
Jira
Vue.js
Webpack
JavaScript
Java
PHP
TensorFlow
PyTorch
Kafka
RabbitMQ
FastAPI
Istio
Grafana
Prometheus
Zookeeper
Linux
Datadog
GraphQL
Prisma
gRPC
Elasticsearch
Zustand
Kafka Streams
pytest
JUnit
SQL
LangChain
LlamaIndex
Weaviate
Pinecone
OpenAI API
Linkerd
ArgoCD
GraphRAG
Check
Availability
Location
Authorized to work in
Job categories
Skills
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