Full Stack AI/ML Engineer with 7+ years of experience building production-grade
AI systems and scalable web applications.
I specialize in end-to-end AI/ML solutions: from problem definition and data
preparation to model training, optimization, and cloud deployment. I've worked
with enterprise clients including Lenovo, building intelligent systems that
directly impact business outcomes.

WHAT I DO:
- Design and develop LLM applications & RAG systems
- Build production ML models with TensorFlow & PyTorch
- Create full-stack AI web applications (Next.js + Python)
- Optimize models through hyperparameter tuning & experimentation
- Deploy scalable systems using Docker, AWS, and modern DevOps practices
- Lead development teams and manage complex, multi-tech environments

RECENT ACHIEVEMENTS:
At Lenovo, Agile Loop, I built AI-powered desktop and web applications integrating
machine learning with secure APIs. I've worked with RNNs, Transformers, and
large language models, always focusing on production-ready code and measurable
results.

TECHNICAL STACK:
Python • TensorFlow • PyTorch • LLMs (OpenAI, LangChain) • Transformers •
Data Preprocessing • Next.js • React • Node.js • Electron.js • Docker •
AWS/Azure • RESTful APIs • Prompt Engineering

MY APPROACH:
I deliver solutions that work. Not just models that perform well in notebooks,
but systems that run reliably in production. I communicate clearly, manage
scope effectively, and ensure you understand every decision made.

Available for: Project-based work, hourly consulting, long-term contracts

Let's build something powerful.