AI & Machine Learning Engineering
From proof-of-concept to production. I design and build ML systems that actually work — RAG pipelines, fine-tuned models, agentic workflows, and the infrastructure to support them. Not just prompts and API calls, but real engineering.
What I Build
Custom ML Pipelines & Model Deployment
End-to-end machine learning systems that scale. From data ingestion to model serving, with proper monitoring, A/B testing, and continuous improvement loops.
RAG Systems & Knowledge Retrieval
Retrieval-Augmented Generation systems that give LLMs access to your proprietary data. Vector databases, embedding pipelines, and semantic search that actually returns relevant results.
AI Workflow Automation
Agentic systems and workflow orchestration that handle complex, multi-step processes. Not just chatbots — intelligent systems that make decisions and take actions.
Guardrails, Monitoring & Evaluation
Production AI needs safety rails. I implement content filtering, output validation, performance monitoring, and evaluation frameworks to ensure your AI behaves predictably.
Fine-tuning & Model Optimization
When off-the-shelf models aren't enough, I fine-tune on your data. LoRA, QLoRA, full fine-tuning — whatever gets the best results for your use case and budget.
Infrastructure & MLOps
The unsexy but critical stuff: GPU infrastructure, model versioning, experiment tracking, CI/CD for ML, cost optimization. Because great models fail without great infrastructure.
Why Real ML Engineering Matters
Everyone can call an API. Not everyone can build production ML systems that handle millions of requests, adapt to new data, and deliver consistent results. The difference between a demo and a product is engineering.
I've built ML systems at scale:
- •Adobe: NLP systems for gesture/voice photo manipulation on mobile
- •LinkedIn: ML forecasting models for 9-figure infrastructure planning
- •AMD: Scientific ML for physics simulations on HPC systems
- •IBM: C++ simulator for analog AI hardware instruction set optimization
Ready to Build Real AI?
Let's discuss your ML challenges and build something that actually ships.