Professional Overview
AI Engineer specializing in RAG systems, multi-agent workflows, and production LLM applications. Stack: LangChain, LangGraph, FastAPI, FAISS, Weaviate, Groq, HuggingFace, LangSmith, Docker, Streamlit. Passionate about building AI products that solve real problems. Open to fully remote AI Engineer roles worldwide.
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.