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.
Experience
AI Expertise
Skills
Employment Type
AI Expertise
Skills
Employment Type
AI Expertise
Skills
Employment Type
Education
Field of Study: AI agents
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.
