Shuqi Chen

Developed scalable microservices in Golang for bulk CSV processing, optimizing latency and resource use by 30%. Built test automation frameworks using Python and Selenium, integrated into CI/CD pipelines with Jenkins. Built a RAG-based TTAM Copilot serving 500+ DAU with 10K+ documents, with MySQL schema design and queries optimized to 50ms.

Software Development Engineer, Intern – Platform Efficiency - TikTok - San Jose, CA

(2025-09 - 2026-03)

• Developed scalable microservices in Golang for bulk CSV processing, optimizing latency and resource use by 30%.
• Built test automation frameworks using Python and Selenium, integrated into CI/CD pipelines with Jenkins.
• Built a RAG-based TTAM Copilot serving 500+ DAU with 10K+ documents, with MySQL schema design and queries optimized to 50ms.
• Implemented Redis caching with a 90+% hit rate, reducing database load by 40% and improving throughput.
• Owned a large-scale file processing pipeline using Redis BitMap, MinIO (2TB+ storage), Apache Tika, and Kafka for asynchronous processing.
• Built a retrieval engine with Elasticsearch, combining vector similarity and BM25 with MySQL permission filtering.

Software Development Engineer - Soul Wallet - San Francisco, CA

(2025-01 - 2025-08)

• Built a multi-tenant credit scoring platform processing $10M+ GMV across 50K+ users, with PostgreSQL schema and ETL pipeline design.
• Ingested 500K+ events/day using Kafka stream processing for real-time analytics and financial aggregation.
• Developed SQL-based feature engineering pipelines with 200+ features using window functions and CTEs for ML.
• Curated 10M+ training records across 15+ tables, building an MLP model achieving 90+% accuracy.
• Built an anti-fraud engine with 150+ SQL-based rules in PostgreSQL, processing transactions under 100ms.
• Refactored microservices using Kotlin and gRPC, with connection pooling reducing DB latency by 75%.

AI Engineer - Heurist AI - Seattle, WA

(2024-01 - 2024-08)

• Shipped an AI agent using LangChain with OpenAI GPT-4 function calling, deployed on Twitter, Telegram, and Coinbase, serving 2K+ users.
• Built an LLM routing layer selecting between GPT-4 and GPT-3.5-Turbo based on prompt complexity, reducing inference costs by 30%.
• Implemented Redis caching with an 85% hit rate, reducing API calls by 60%.
• Built evaluation pipelines with user feedback loops, with ETL jobs in Python, Redis, and PostgreSQL.
• Created SQL analytics tracking 20+ performance metrics, optimizing query latency from 250ms to 80ms.
• Hosted services on AWS Lambda with API Gateway, handling 10K+ requests/hour and cutting infra cost by 35%.

M.Sc. - Computer Software Engineering - Northeastern University (2024-01 - 2027-05)

Sichuan University (2017-09 - 2022-06)