I didn’t start by chasing buzzwords. I started by trying to make AI systems actually work.
Early on, I noticed a gap: models looked impressive in demos but failed under real usage, hallucinations, weak reasoning, slow iteration, and unclear evaluation. Instead of moving on, I leaned into fixing those problems.
Today, I’m an AI Engineer at FoCDoT Technologies, where I design and ship production LLM systems, from RLHF pipelines and evaluation tooling to RAG architectures and cloud deployments. My work supports cross-functional teams and global clients (including OpenAI projects), with a clear focus on measurable model quality, faster iteration, and scalable infrastructure.
Alongside my full-time role, I work as a freelance Generative AI engineer, helping teams and individuals debug broken LLM workflows, improve prompt reliability, design better datasets for code & reasoning tasks, and make sense of RAG systems that don’t behave as expected.
Over time, people began reaching out not just for fixes, but for clarity:
- Why is my LLM inconsistent?
- How do I evaluate outputs properly?
- What does “production-ready” GenAI actually mean?
- How do I prepare for real AI/GenAI interviews?
That’s why I offer 1:1 consultations.
When you book a session with me, you get:
- Clear diagnosis of LLM, RAG, or prompt issues
- Practical solutions you can implement immediately
- Guidance grounded in real production experience, not theory
- Honest career and interview feedback based on industry standards
Whether you’re:
- building an AI product
- struggling with unreliable GenAI outputs
- transitioning into AI/LLM roles
- or preparing for serious interviews
I help you cut through confusion and move forward with confidence.
If you value clarity over hype and results over buzzwords, you’re in the right place.