Alex Chen

AI Engineer & Full-Stack Developer

Specializing in large language models, computer vision, and scalable ML systems. Passionate about building intelligent solutions that solve real-world problems.

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About Me

I'm an AI Engineer with 5+ years of experience building intelligent systems that leverage machine learning and deep learning. My expertise spans large language models, computer vision, and production ML systems serving millions of users.

I'm passionate about bridging the gap between cutting-edge AI research and practical applications. I thrive in fast-paced environments where I can collaborate with talented teams to solve complex problems at scale.

When I'm not coding, I enjoy contributing to open-source ML projects and sharing knowledge through technical writing and speaking.

Technical Skills

Languages

Python TypeScript JavaScript SQL Java C++

ML Frameworks & Libraries

PyTorch TensorFlow Hugging Face Scikit-learn JAX FastAPI

AI/ML Specialties

LLMs Fine-tuning Computer Vision NLP Retrieval-Augmented Generation Prompt Engineering

Cloud & DevOps

AWS Google Cloud Docker Kubernetes CI/CD MLOps

Databases & Tools

PostgreSQL MongoDB Redis Jupyter Git Weights & Biases

Frontend

React Next.js Tailwind CSS Vue.js REST APIs

Professional Experience

Senior AI Engineer

TechCorp AI Labs Jan 2023 - Present
  • Led development of multi-modal LLM applications processing 10M+ daily requests, achieving 99.9% uptime
  • Implemented fine-tuning pipeline for domain-specific models, improving accuracy by 23% and reducing inference latency by 40%
  • Architected RAG system for knowledge-grounded AI, reducing hallucination rate from 8% to 1.2%
  • Mentored team of 4 junior engineers, establishing best practices for model evaluation and deployment
LLMs PyTorch MLOps AWS

ML Engineer

DataVision Inc. Jun 2021 - Dec 2022
  • Developed computer vision models for image classification achieving 96.7% accuracy on benchmark dataset with 15M parameters
  • Optimized model inference pipeline using TensorRT and quantization, reducing serving costs by 65%
  • Built end-to-end MLOps infrastructure for model training, validation, and deployment using Kubernetes and MLflow
  • Collaborated with product team to ship vision features to 2M+ mobile users
Computer Vision TensorFlow Kubernetes Python

Full-Stack Developer

StartupXYZ Jan 2020 - May 2021
  • Built SaaS platform from scratch using React and Python FastAPI, growing user base to 50K+ active users
  • Implemented real-time analytics dashboard processing 1M+ events daily with WebSocket architecture
  • Designed and deployed PostgreSQL schemas supporting complex queries with <100ms response times
  • Established CI/CD pipeline reducing deployment time from 2 hours to 15 minutes
React FastAPI PostgreSQL Docker

Junior Software Engineer

TechCorp Solutions Jul 2019 - Dec 2019
  • Contributed to backend microservices architecture serving 100K+ daily active users
  • Implemented payment processing integration handling $5M+ in annual transactions with zero security incidents
  • Reduced API response time by 35% through database indexing and query optimization
  • Participated in code reviews and contributed to engineering documentation and best practices
Python SQL AWS Git

Featured Projects

LLM Fine-tuning Framework

Open-source framework for efficient fine-tuning of large language models with support for LoRA, QLoRA, and full fine-tuning. Includes parameter-efficient training on limited hardware, automated hyperparameter tuning, and model evaluation tools.

⭐ 2.4K Stars 🍴 340 Forks
PyTorch Transformers LoRA Python

Vision Object Detection API

Production-ready REST API for real-time object detection supporting YOLOv8, Faster R-CNN, and RetinaNet models. Achieves 60 FPS on GPU with batch processing, async workers, and automatic model scaling based on load.

📊 99.5% Uptime ⚡ <50ms Latency
FastAPI YOLO Docker AWS

RAG-Powered Q&A System

Retrieval-augmented generation system using semantic search and LLMs for accurate document-based question answering. Integrates with multiple document sources, supports real-time indexing, and achieves 94% answer accuracy on evaluation set.

📚 5K+ Documents ✅ 94% Accuracy
LLMs Vector DB Embeddings LangChain

Sentiment Analysis Dashboard

Interactive React dashboard for real-time sentiment analysis of social media streams. Features multi-language support, trend visualization, and automated reporting. Processes 50K+ tweets daily with sentiment classification and emotion detection.

🌍 10 Languages 📈 Real-time Streaming
React NLP WebSockets D3.js

Education & Certifications

Master of Science in Computer Science

Stanford University

2017 - 2019 | Focus: Machine Learning & AI

Thesis: "Efficient Fine-tuning of Large Language Models for Domain-Specific Tasks"

Bachelor of Science in Computer Science

University of California, Berkeley

2013 - 2017 | GPA: 3.9/4.0

Relevant Coursework: Deep Learning, Natural Language Processing, Distributed Systems, Computer Vision

Professional Certifications

  • AWS Certified Machine Learning – Specialty (2023)
  • Google Cloud Professional Data Engineer (2022)
  • Deep Learning Specialization – Coursera (2020)
  • Kubernetes Application Developer (CKAD) (2021)

Get In Touch

I'm always interested in hearing about new opportunities and collaborations.

Feel free to reach out via email or connect with me on social media.

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