Open to opportunities

tiger King

@tigerking

Message

Senior AI/ML engineer turning foundation models into scalable, production-grade GenAI products.

United States

Message

What I'm looking for

I seek roles building production GenAI and MLOps systems—modeling to scalable infra—within collaborative, security-conscious teams focused on impact.

I am a Senior AI/ML engineer with 10+ years building production-grade AI systems across healthcare, fintech, and cloud, specializing in LLMs, RAG, agentic AI, and MLOps.

I have led end-to-end projects that reduced triage time at Lyra Health, deployed Claude-based RAG frameworks at Anthropic, and built large-scale fraud detection systems at AWS, combining model development, distributed training, and secure, HIPAA-aligned pipelines.

I focus on bridging modeling and infrastructure—fine-tuning LLMs (PEFT/LoRA), deploying scalable inference (Ray Serve, Triton, Vertex AI, SageMaker), and implementing monitoring, safety, and observability to deliver reliable, real-world applications.

Experience

Work history, roles, and key accomplishments

Senior AI/ML Engineer

Lyra Health

Mar 2024 - Nov 2025 (1 year 8 months)

Led development of HIPAA-compliant LLM-powered triage and clinical summarization systems, deploying RAG pipelines and multi-agent workflows that reduced support resolution time by 32%. Built secure, scalable inference and data pipelines on GCP/Databricks with monitoring and audit logging for PHI traceability.

LLM RAG Qdrant Databricks PEFT LoRA HIPAA

Senior AI/ML Engineer

Anthropic

Feb 2022 - Feb 2024 (2 years)

Supported Claude-based product experimentation and deployed RAG/agentic workflows for enterprise healthcare clients, building safety-aligned pipelines and monitoring that enabled HIPAA-aware LLM integrations. Implemented observability for GPU utilization and RAG latency while advising on deployment trade-offs.

Claude RAG LangGraph Pgvector Faiss NeMo Guardrails

Senior AI/ML Engineer

Amazon Web Services

Jul 2017 - Jan 2022 (4 years 6 months)

Designed and deployed production-grade ML systems on AWS, including distributed training and real-time fraud detection pipelines processing 100M+ records and PoCs for GenAI serving stacks using Ray Serve and Triton. Implemented CI/CD, monitoring, and model registries to operationalize ML workflows.

Sagemaker Ray Triton Databricks PyTorch Spark Neo4j Terraform Cloudwatch

Graduate Research Assistant

Southern Methodist University

Sep 2015 - May 2017 (1 year 8 months)

Conducted applied ML research in NLP and computer vision, developing OCR pipelines and text classification models and supporting GPU-based PyTorch training and reproducible experiment tracking for academic projects.

scikit learn SpaCy OpenCV Tesseract PyTorch fastAPI

Data Scientist

Stripe

Jun 2013 - Aug 2015 (2 years 2 months)

Built fraud detection and risk models for Stripe Radar using XGBoost/LightGBM, improving precision by 22% and delivering real-time scoring endpoints with <100ms latency. Implemented ETL pipelines and MLflow-based model tracking across regional markets.

XGBoost LightGBM Airflow Spark fastAPI Kubernetes MLFlow Snowflake

Data Science Intern

Microsoft Research

Jun 2012 - May 2013 (11 months)

Prototyped NLP classifiers and reranking strategies for medical document classification, contributing feature engineering, annotation scripts, and exploratory analysis for biomedical text projects.

scikit learn TF IDF NLP Data Annotation Experimental Analysis Python

Education

Degrees, certifications, and relevant coursework

Southern Methodist University

Master of Business Administration, Finance / Computer Science (applied ML)

2015 - 2017

Activities and societies: Graduate Research Assistant on NLP and computer vision projects; developed OCR pipelines, classification models, and internal FastAPI endpoints; participated in research group meetings.

Completed a part-time Master of Business Administration in Finance while contributing to ML research projects and engineering efforts as a graduate research assistant.