# Michael Yang

Michael Yang is a remote worker on Himalayas, Senior Machine Learning Engineer at Lyra Health, based in United States.

Source: https://himalayas.app/@michaelyang2

```text
Senior Machine Learning Engineer at Lyra Health, improving care-search conversion 18% with personalized provider ranking.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | United States |
| Authorized to work in | United States |
| Salary expectations | 60k+ USD |
| Job categories | Machine Learning Engineer |
| Skills | Recommendation Systems, Ranking Systems, Multi Stage Retrieval, Learning To Rank, Dense Retrieval, Candidate Generation, Reranking, Constrained Ranking, Contextual Bandits, Thompson Sampling, Implicit Feedback, Cold Start Mitigation, Large Language Models, RAG, Semantic Search |
| LinkedIn | https://linkedin.com/in/michael-yang-484854173 |

## About

```text
At Lyra Health, I built Natural-Language Care Search, a two-stage recommendation system that improved search-to-booking conversion by 18%. I fine-tuned domain-specific embeddings to connect members’ everyday language with clinical terminology, lifting retrieval recall@50 by 31%.

I also developed the personalized ranking and constrained re-ranking stages, serving 150K+ ranked queries daily at p95 latency under 300ms. For Enhanced Triage, I shipped a model that reduced misrouted care episodes by 22% and cut time-to-first-appointment by 1.5 days.

At Amazon Web Services (AWS), I developed retrieval and ranking components for Amazon Bedrock Knowledge Bases and optimized model serving, reducing inference costs by about 35%. Earlier at edX, I designed a real-time adaptive recommender that improved recommendation CTR by 24% and course completion by 8%.
```

## Experience

### Senior Machine Learning Engineer (current)

[Lyra Health](https://himalayas.app/companies/lyra-health). Aug 2025 - Present

```text
Led ML for Natural-Language Care Search, a large-scale recommendation and ranking system, improving search-to-booking conversion by 18% and reducing misrouted care episodes by 22%.
```

Skills: Machine-Learning, Recommendation-Systems, Ranking, Dense-Retrieval, Faiss, Learning-To-Rank, Gradient-Boosting, A-B-Testing, Counterfactual-Evaluation, HIPAA, Python, PyTorch, AWS

### Senior Machine Learning Engineer

[Amazon Web Services (AWS)](https://himalayas.app/companies/amazon-web-services-aws). Aug 2019 - Jul 2025

```text
Core engineer on Amazon Bedrock, leading development of Knowledge Bases (RAG) retrieval and ranking components, and designing model inference optimization for high-throughput serving.
```

Skills: Machine-Learning, RAG, Retrieval, Ranking, Embedding-models, Inference-Optimization, Continuous-Batching, KV-Caching, GPU, Kubernetes, Docker, AWS, Python, Java, Scala

### Data Scientist

[edX](https://himalayas.app/companies/edx). Jul 2016 - Aug 2019

```text
Designed a real-time adaptive recommender personalizing course and content suggestions, improving recommendation CTR by 24% and course completion by 8%.
```

Skills: Recommendation-Systems, Contextual-Bandits, Thompson-Sampling, Implicit-Feedback, Streaming, Kafka, Spark-Streaming, A-B-Testing, Python, SQL

## Education

### Northeastern University

Bachelor's Degree, Computer Engineering. 2012 - 2016

```text
Bachelor's Degree in Computer Engineering from Northeastern University, completed in 2016.
```

## Tech stack

- Apache Spark
- Kubernetes
- Python
- Java
- Scala
- TensorFlow
- PyTorch
- scikit-learn
- Kafka
- Amazon DynamoDB
- AWS Lambda
- Docker
- Amazon EMR
- SQL
- Amazon SageMaker
- XGBoost
- Hugging Face
- Faiss
- AWS

To contact Michael, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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