Brian Xu
@brianxu
Goal-oriented Senior Software Engineer with expertise in AI technologies.
What I'm looking for
As a Senior Software Engineer with over 8 years of experience, I have successfully led cross-functional teams at renowned companies like Google, Reddit, and Databricks. My expertise lies in full-stack engineering, focusing on backend development and leveraging cutting-edge AI technologies to architect robust SaaS products and high-throughput data pipelines.
Throughout my career, I have been recognized for my ability to blend diverse technologies into cohesive solutions that exceed performance and compliance objectives. I have a proven track record of driving agile execution and delivering high-quality products on aggressive schedules, ensuring that my teams consistently meet and surpass project milestones.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
MAX.AI
Apr 2024 - Present (1 year 4 months)
Led the development of Mavrick V3, a no-code orchestration engine for building production-grade multi-agent flows, combining LangChain, LangGraph, LiteLLM, and Ray Serve behind a FastAPI layer. Directed the product roadmap for Maverick V3 + Nova Agent, translating executive vision into clear engineering milestones and coordinating with design, ML, and UX teams.
Senior Software Engineer
Databricks
Nov 2022 - Present (2 years 9 months)
Served as lead engineer on cross-org efforts connecting Delta Lake with AI/ML tooling, aligning infra APIs with platform roadmap and product requirements. Designed cloud-agnostic infrastructure using Kubernetes and Terraform to power big data and ML workloads on Databricks, enabling scalability across AWS, Azure, and GCP.
Senior Software Engineer
Apr 2021 - Present (4 years 4 months)
Owned critical paths in Reddit’s comment delivery pipeline, improving backend reliability and latency under peak loads with a 30% reduction in rendering delays. Built and optimized Go, Java, and Python microservices for post editing, voting, and reporting through optimized DB SQL queries and migration of REST to gRPC services.
Software Engineer
Oct 2018 - Present (6 years 10 months)
Led the migration of security services to a microservices-based architecture with Go, Java, and Python frameworks, improving scalability and fault tolerance, supporting traffic spikes. Shipped a Borg-hosted binary-scanner that inspected 10K+ prod builds per day, trimming median patch lag for critical CVEs 30% within one quarter.
Software Engineer Intern
May 2017 - Present (8 years 3 months)
Deployed an anomaly-detection pipeline on Apache Spark Streaming and Kafka, classifying around 3B behavioral events every day and driving a 35% drop in spam. Added GraphX login-graph and geo-velocity features, boosting fraud-model AUC and eliminating 20% of false positives.
Education
Degrees, certifications, and relevant coursework
Massachusetts Institute of Technology
Master of Engineering, Computer Science
2017 - 2018
Completed a Master of Engineering in Computer Science, deepening expertise in advanced computer science principles and applications. Authored an internal white paper on standardizing the fraud stack for LinkedIn's 2018 Trust-and-Safety playbook, which later became the MEng thesis.
Massachusetts Institute of Technology
Bachelor's Degree, Computer Science
2014 - 2018
Studied Computer Science at the Massachusetts Institute of Technology, focusing on foundational concepts and advanced topics in the field.
Tech stack
Software and tools used professionally
OpenAPI
Apache Spark
AWS IAM
GitHub
GitLab
Kubernetes
Spring Cloud
Jenkins
GitHub Actions
DB
MySQL
PostgreSQL
MongoDB
Cassandra
Gmail
Rollout
Node.js
Django
Spring Boot
Ruby on Rails
Next.js
Gin Gonic
Databricks
Neo4j
Redis
Terraform
Vue.js
JavaScript
Java
TensorFlow
MLflow
scikit-learn
Kafka
RabbitMQ
Samza
FastAPI
Grafana
Prometheus
Linux
Gemini
GraphQL
Firebase
gRPC
Elasticsearch
Protobuf
RSpec
Amazon Cognito
OAuth2
NGINX
Airflow
dockerized
GuardRails
SQL
Azkaban
Availability
Location
Authorized to work in
Job categories
Skills
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