Hi, I'm Ezechukwu Emmanuel
Experienced Backend Engineer specializing in Python, LLM integration, and scalable system architecture.
Experienced Backend Engineer specializing in Python, LLM integration, and scalable system architecture.
Experienced Backend Engineer with over 5 years of expertise in building robust, production-grade systems and APIs using Python. Strong background in integrating Large Language Models (LLMs) into backend workflows, including agent orchestration, natural language query handling, and scalable deployment via Docker and AWS ECS.
Adept at developing maintainable services, collaborating across functions, and deploying AI-driven products with advanced NLP, ML, and LLM technologies.
Developed a full-stack HR agent that automates candidate sourcing, screening, and scheduling. Used GPT-4o to summarize profiles, generate outreach copy, and respond to queries. Implemented RAG pipeline for context-aware responses.
Built and deployed a machine learning model to detect recurring financial transactions. Used GPT-4o to generate smart summaries and explain model outputs. Deployed backend using Docker on AWS ECS.
Developed secure payment APIs using Python, integrated external payment gateways. Designed database schemas, handled compliance, and optimized performance for financial systems.
Designed and built full-stack ERP system for fashion business operations. Developed backend APIs for inventory, customer measurements, order tracking. Built responsive frontend with React and Tailwind CSS.
I'm currently available for full-time opportunities with 8 hours/day availability and 4+ hours timezone overlap with PST.