• Anderson Tsai

    Member of Technical Staff at Salesforce
    UC Berkeley Class of 2023

    View Resume

About Me

I'm a software engineer at Salesforce who graduated from the University of California, Berkeley, with a double major in Computer Science and Data Science.

I specialize in building distributed systems, microservices, and AI-driven agent architectures utilizing Python, C/C++, TypeScript, Go, and modern cloud infrastructure.

AI & Agent Systems

Distributed Systems

Microservices & Infra

Full-Stack Development

Highlights

Projects/Achievements

Autonomous Agent Review

Architected an autonomous multi-agent code review framework leveraging tool-use and goal-verification loops, cutting manual review overhead by 300+ hours.

MuleSoft AgentForce AI

Spearheaded MuleSoft's AgentForce AI Assistant using Einstein LLM Gateway and custom Model Context Protocol (MCP) servers.

Hyperforce Migration

Led zero-downtime infrastructure migration of 57 Access Management microservices across 22 cross-functional teams to Hyperforce with 0 production incidents.

Competitive Programming

Placed in Cal Poly Pomona High School Programming Competition (sponsored by Northrop Grumman, NSA, Snapchat, and Google).

Multimodal Document Retrieval

Researched and deployed a multimodal embedding model for image-text retrieval across client document stores at Allganize, directly securing an enterprise contract.

LAHacks 2021 Winner

BlackRock challenge winner. Created web application assisting users in exploring and purchasing electric vehicles through a personalized experience.

Expertise

Skills

AI & Agent Systems

Model Context Protocol (MCP), Multi-Agent Orchestration, Tool Execution, LLM Gateways, RAG, Vector Databases, Prompt Engineering, Agent Evals.

Languages

Python, C/C++, TypeScript, JavaScript, Go, SQL, HTML/CSS, LaTeX.

Systems & Infrastructure

Distributed Systems, REST/gRPC APIs, Microservices, AWS, Docker, Kubernetes, CI/CD, Git/GitHub.

Frameworks & Tools

PyTorch, React, React Native, Expo, Node.js, Supabase, PostgreSQL, Redis, Qt.

Educational Background

Education

Graduated with a double major in the College of Letters and Science at the University of California, Berkeley.

Graduation Date: May 2023

  • Introduction to Machine Learning & Introduction to Computer Vision
  • Operating Systems and Systems Programming
  • Discrete Mathematics and Probability Theory
  • Great Ideas in Computer Architecture (Machine Structures)
  • Structure and Interpretation of Computer Programs
  • The Foundations and Principles of Data Science
  • Designing Information Devices and Systems I and II
  • Efficient Algorithms and Intractable Problems
  • Data Structures & Introduction to Artificial Intelligence
  • Computer Security, Probability and Random Processes, Data Mining
Work History

Experience

Salesforce — Member of Technical Staff Feb 2025 – Present

  • Architected an autonomous multi-agent code review framework leveraging tool-use and goal-verification loops across specialized agents (security, performance, coder), cutting manual review overhead by 300+ hours.
  • Spearheaded MuleSoft's AgentForce AI Assistant using Einstein LLM Gateway and custom Model Context Protocol (MCP) servers to enable automated role provisioning and structured natural language tool execution.
  • Optimized high-throughput authentication microservices by migrating to JWT tokens, reducing database queries by 90% and enhancing system resilience under heavy load.
  • Led zero-downtime infrastructure migration of 57 Access Management microservices across 22 cross-functional teams to Hyperforce with 0 production incidents.
  • Managed deployment and regional rollout of 6 core services to 7 global and government regions (Civilian, DoD), maintaining 99.99% service availability.
  • Implemented custom secrets expiration duration feature for client provider applications within one week of joining team, boosting customer satisfaction ratings by 5%.

Salesforce — Associate Member of Technical Staff Jul 2023 – Feb 2025

  • Managed Cryptography framework to ensure uptime of 99.99% for enterprise customers.
  • Designed and implemented expiring certificate notification system, reducing certificate-related incidents by 40%.
  • Modified metadata schema for secrets seamlessly to enable service teams to introduce critical features and enable new functionality for customers.
  • Oversaw monthly releases for on-premise and cloud offerings to ensure performance regressions were detected and remediated.
  • Created performance monitoring framework to make performance validations 40% quicker.
  • Fixed critical bugs and improved efficiency of performance testing pipeline by 13%.

Intel — Software Engineering Intern Sep 2022 – Jul 2023

  • Engineered C++/Qt features for enterprise power management tools, supporting cross-platform and remote execution.
  • Built system resource monitoring capabilities to track real-time CPU, Memory, Disk, and GPU utilization during intensive benchmark workflows.
  • Refactored process monitoring architecture by capturing error streams and optimizing child process discovery, reducing codebase size by 60%.
  • Resolved critical performance bugs and customer feature requests, driving an 11% improvement in CSAT metrics.

Allganize — Software Engineering / AI Intern May 2022 – Aug 2022

  • Optimized backend microservices for enterprise AI application, improving API response times, implementing features, and resolving critical bugs.
  • Overhauled OCR document ingestion pipeline, cutting processing latency by 20% and increasing extraction accuracy by 12%.
  • Researched and deployed a multimodal embedding model for image-text retrieval across client document stores, directly securing an enterprise contract.

Salesforce — Software Engineering Intern May 2021 – Nov 2021

  • Diagnosed frontend performance bottlenecks across core web applications using automated testing and telemetry tools.
  • Optimized client-side rendering and asset loading across 5 flagship web applications, improving loading speeds by 77% on average.
  • Established web performance benchmarking guidelines and CI/CD audit workflows for MuleSoft engineering teams.

Get in Touch

Contact

andersontsai87@gmail.com

San Francisco, CA

(909)-539-7599