A production-ready conversational AI built with RAG architecture, featuring semantic search over custom knowledge bases and multi-turn dialogue capabilities.
PythonLangChainOpenAIPineconeFastAPI
terminal
> system.greet()
Hello, I'mMichelle Adea
$ cat aboutme.txt
AI Engineer building agentic workflows and machine learning solutions.
Disclaimer: Site is currently under construction. Not all information is up to date or accurate.
> _
01.
About
I'm an AI Engineer with a passion for building intelligent systems that solve real-world problems. My journey in AI started with a fascination for how machines can learn from data and has evolved into expertise across the full ML lifecycle.
Currently, I focus on developing large language model applications, computer vision systems, and scalable ML infrastructure. I love the challenge of taking cutting-edge research and turning it into production-ready solutions.
When I'm not training models or optimizing pipelines, you can find me contributing to open-source projects, writing about AI developments, or experimenting with the latest frameworks and techniques.
Technologies I work with:
PythonPyTorchTensorFlowLLMsComputer VisionNLPMLOpsTransformersRAG SystemsFine-tuningLangchainVector Databases
02.
Projects
End-to-end diffusion model training and deployment pipeline with custom fine-tuning on domain-specific datasets and real-time inference API.
PyTorchDiffusersCUDADockerAWS
Enterprise MLOps platform for model versioning, A/B testing, and deployment automation with comprehensive monitoring and rollback capabilities.
MLflowKubernetesPostgreSQLRedisGrafana
Multimodal document understanding system combining OCR, layout analysis, and NLP for automated information extraction from complex documents.
TransformersLayoutLMspaCyTesseractReact
03.
Experience
2023 — Present
Senior AI Engineer · TechCorp AI
Leading the development of LLM-powered products and AI infrastructure. Building scalable RAG systems and fine-tuning foundation models for enterprise applications.
PythonLangChainGPT-4AWSKubernetes
2021 — 2023
Machine Learning Engineer · DataFlow Inc.
Developed computer vision pipelines for manufacturing quality control. Reduced defect detection time by 80% while maintaining 99.5% accuracy.
PyTorchOpenCVDockerGCPMLflow
2019 — 2021
Data Scientist · Analytics Startup
Built predictive models and recommendation systems. Implemented end-to-end ML pipelines from data collection to model deployment and monitoring.
Pythonscikit-learnSQLAirflowTableau
04.
Blog
Mar 2024·12 min read
Building Production-Ready RAG Systems
A deep dive into the architecture patterns, chunking strategies, and evaluation methods for building reliable retrieval-augmented generation systems.
Read moreFeb 2024·15 min read
Fine-tuning LLMs: A Practical Guide
From data preparation to deployment: everything you need to know about customizing foundation models for your specific use case.
Read moreJan 2024·10 min read
MLOps Best Practices in 2024
Lessons learned from scaling ML systems at startups and enterprises. Covering model versioning, monitoring, and automated retraining.
Read more05.
Get In Touch
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision. Whether you have a question or just want to say hi, feel free to reach out!
Or reach me directly at:
hello@example.com