Hi, I’m an AI & Machine Learning Engineer who builds production systems.
Over the years, I’ve watched countless talented developers fall into "tutorial hell"—spending months watching recorded video courses, copying boilerplate code, but struggling entirely when it comes to building, scaling, and debugging real-world systems.
I started this platform because the fastest way to learn AI engineering isn't passive watching; it's hands-on, 1:1 collaboration with someone who has broken the code, hit the production bottlenecks, and figured out how to fix them.
Philosophy
How I Approach Mentorship
No Fluff, Just Code
We don't spend hours deriving complex academic proofs unless it directly impacts your engineering execution. We focus on working code, robust architectures, and clean patterns.
Tailored to Your Context
Whether you're debugging an enterprise RAG pipeline at work or writing your very first PyTorch training loop, every session is customized around your personal projects and roadblocks.
Capabilities
What We Can Work On Together
Large Language Models & RAG
Designing production retrieval pipelines, hybrid search, reranking, and fine-tuning open-weights models.
Classical ML & Deep Learning
PyTorch, neural network architecture design, gradient optimization, and computer vision systems.
ML System Design & Serving
Deploying models with FastAPI, Docker, vector databases, and managing real-time inference latency.
Career Transitions & Strategy
Guiding software engineers and beginners from foundational Python to landing AI engineering roles.