# Jun Yu Tan

> Founding Engineer @ Tusk

Location: San Francisco, California, United States
Profile: https://flows.cv/junyutan

Passionate about ML systems and AI-enabled products, with a focus on AI evaluation, reliability, and human-AI interaction. Currently building Tusk.

I write at https://jytan.io.

## Work Experience
### Founding Engineer @ Tusk (YC W24)
Jan 2024 – Present
We help eng teams catch critical blind spots and boost engineering excellence at every commit.

Making AI agents find impactful and tested edge cases for PRs, reliably.

Engineer #1. Code change analysis, codebase search, navigation & analysis, test suite generation and maintenance workflows, testing infra (repo configuration, sandbox orchestration), among other things.

### Machine Learning Engineer @ 6sense
Jan 2022 – Jan 2024
Developed and productionized high-performance and reliable AI systems to deliver high-impact features, enabling automated two-way email conversations in 6sense Conversational Email:
• Hyper-personalized AI outreach emails
• AI-powered reply automation

𝗥𝗲𝗽𝗹𝘆 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: Fully automating >70% of live lead emails with 99.9% accuracy in production, achieving the best outcomes in the tradeoffs between accuracy, latency and human effort for scalability.
• Text classification, model ensembles, NER, outlier detection (Transformers, PyTorch)
• Human-in-the-loop ML, dispatch/validation algorithms, active learning, automatic consensus-based ground truths
• MLOps (streaming, serverless inference, data pipelines, ONNX/quantization)
• Reliable ML (data quality, testing, monitoring and observability, analytics)

𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: end-to-end AI systems with RAG, prompt engineering, and bespoke workflows; spearheaded and deployed initiatives for ensuring reliability of LLM outputs
• Semantic search backend service (FastAPI, Pinecone/pgvector, Sentence-Transformers)
• LLM online evaluation / guardrails for trustworthy, reliable, and appropriate LLM outputs
• Steerable LLM generation (custom intents and reply strategies)

### Machine Learning Research @ Micron Technology
Jan 2021 – Jan 2021
Research project:
Generalized acoustic analytics for scalable novelty detection in smart manufacturing
(in other words, predictive maintenance using sound data from manufacturing equipment)

### Data Analyst @ Autodesk
Jan 2021 – Jan 2021


## Education
### Master of Science - MS in Computer Science
Georgia Institute of Technology

### Bachelor of Science (Honours) in Data Science & Analytics
National University of Singapore

### Singapore GCE 'A' Levels (Integrated Programme)
Hwa Chong Institution


## Contact & Social
- LinkedIn: https://linkedin.com/in/tanjy

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Source: https://flows.cv/junyutan
JSON Resume: https://flows.cv/junyutan/resume.json
Last updated: 2026-04-05