CV – Alex Chen

Location: Austin, TX Email: alex@example.com LinkedIn: linkedin.com/in/alexchen Portfolio: alexchen.dev GitHub: github.com/alexchen

Professional Summary

Full-stack AI engineer with 6 years building production ML systems. Led the ML platform at a Series B fintech (2020-2024), scaling from 2 models to 15+ in production. Built real-time fraud detection (99.7% precision, $2M/year saved), recommendation engine (18% uplift), and an internal MLOps platform serving 4 engineering teams.

Work Experience

TechFin Corp – Austin, TX

Senior ML Engineer / ML Platform Lead 2020-2024

Led ML platform team (3 engineers), built internal MLOps tooling: model registry, A/B testing framework, feature store
Designed real-time fraud detection pipeline: Kafka → feature computation → model inference → decision engine. 99.7% precision at 50ms p99
Built recommendation engine for lending products: collaborative filtering + LLM reranking. 18% conversion uplift
Reduced model deployment time from 2 weeks to 4 hours with CI/CD pipeline (GitHub Actions + SageMaker)
Established model monitoring: drift detection, performance dashboards (Grafana), automated retraining triggers

DataStartup Inc – Remote

ML Engineer 2018-2020

Built NLP pipeline for document classification (BERT fine-tuning, 94% accuracy on legal docs)
Implemented search ranking with learning-to-rank models
Set up experiment tracking with MLflow and model versioning

Projects

FraudShield (Open Source) – Real-time fraud detection framework. Kafka Streams + feature store + model serving. 500+ GitHub stars
LLM Eval Toolkit (Open Source) – Evaluation framework for LLM applications. Supports custom metrics, regression testing, CI integration

Education

MS Computer Science, UT Austin (2018)
BS Computer Science, UC Berkeley (2016)

Skills

ML/AI: PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain
MLOps: SageMaker, MLflow, Kubeflow, Airflow, Feature Store
Infra: Kubernetes, Kafka, Redis, PostgreSQL, AWS
Languages: Python, Go, TypeScript, SQL

Akash Dubey