Zwe H.

AI/ML Engineer | LLM, RAG & Agentic Automation | Python Backend Developer I build AI systems and backend platforms that actually ship to production — not demos, not prototypes that die after the first sprint. With 4+ years across fintech, e-commerce, and automation-heavy workflows, I help clients turn manual processes into reliable systems and ship AI features that hold up under real usage. Recent work includes: • Replacing a fully manual, week-long reporting workflow with a single end-to-end LLM pipeline • Architecting a multi-service trading data platform — live market data ingestion from 8+ exchanges, external context aggregation from 10+ providers, and a human-in-the-loop labeling system for model training • Building NLP and speech recognition systems for Burmese, a low-resource language, from scratch What I bring to your project: LLM orchestration & RAG — production pipelines with LangChain, LangGraph, and agentic coding workflows that automate real tasks, not just chat Backend & APIs — Python (Django, Flask, FastAPI), PostgreSQL/MongoDB, containerized with Docker, deployed on AWS/GCP NLP & Computer Vision — sentiment analysis, NER, YOLO-based detection, speech recognition Workflow automation — n8n pipelines and integrations that remove manual work end-to-end I care about clean architecture, clear communication, and systems your team can actually maintain after I'm gone. If you need someone who can take an AI idea from concept to something running reliably in production, let's talk about what you're building.