I am a Senior AI/ML Engineer with hands-on experience designing, fine-tuning, and deploying production-grade AI systems, with a strong focus on Large Language Models (LLMs), multimodal pipelines, and computer vision solutions.

I help companies turn complex business problems into scalable, reliable, and cost-efficient AI products. I work end-to-end, from MVP definition and data strategy to model training, deployment, monitoring, and optimization in real production environments.

My core expertise includes:
• LLM-powered chatbots and agent-based systems (LLaMA-based models, LangChain, LangGraph)
• Retrieval-Augmented Generation (RAG) using vector databases and embedding-based retrieval (FAISS)
• Fine-tuning foundation models (full fine-tuning and PEFT techniques such as LoRA)
• High-performance inference services using PyTorch, vLLM, FastAPI, and streaming architectures
• Computer vision and multimodal systems for document understanding, identity verification, and fraud detection (OCR, LayoutLMv3, Donut, VLMs, face recognition)
• Inference optimization (quantization, batching, GPU memory optimization) to reduce latency and infrastructure costs
• End-to-end ML pipelines, observability, and monitoring for GenAI systems

I have experience collaborating closely with product, engineering, and business stakeholders, translating requirements into robust AI architectures that are production-ready, explainable, and measurable.

If you are looking for someone who can not only build models, but also deploy, optimize, and maintain real AI systems that deliver business impact, I can help you.