Hilary

Hilary Azimoh [відкрити контакти](див. вище в блоці «контактна інформація»)
Portfolio [відкрити контакти](див. вище в блоці «контактна інформація»)

Education
Open Institute of Technology - OPIT Malta (Remote)
•
BSc Hons in Computer Science; GPA: 3.9/4.0 Sept 2024 – Dec 2026

Experience
Mediaverse Remote
•
AI Framework Developer (Contract) 2025 – Present

◦ AI Agent Systems: Designed and deployed AI agents that ingest, sift through, and summarize large volumes of
structured and unstructured information for decision support.
◦ Human-in-the-Loop Workflows: Integrated Microsoft Copilot and human-in-the-loop mechanisms to enable
review, validation, and decision-making before automated execution.
◦ LLM Integration: Built LLM-powered pipelines using OpenAI APIs with structured prompting and response
handling for reliable outputs.
◦ Automation Pipelines: Automated downstream processes post-decision, reducing manual intervention through
orchestrated agent workflows.
◦ Framework Development: Developed reusable AI frameworks enabling modular orchestration of agents, tools,
and APIs using LangChain, LangGraph, and n8n.

HC Core Tech Amsterdam, NL
•
AI Engineer Jan 2024 – Present
Independent / Portfolio Projects
◦ AI Systems Development: Designed and deployed applied AI systems including autonomous agents, RAG
pipelines, multimodal AI systems, and workflow automation agents.
◦ AI Career Automation Agent: Built a production-ready AI assistant using FastAPI and Next.js to automate
recruiter interactions and scheduling workflows.
◦ AI Interview Intelligence: Developed a multimodal system combining speech-to-text and LLM reasoning to
analyze interview recordings and generate structured insights.
◦ AI Knowledge Copilot: Implemented a RAG-based assistant using embeddings and semantic search with
optimized chunking strategies (500–800 tokens with overlap).
◦ AI Research Agent: Built an autonomous research system using LangGraph for multi-step reasoning, retrieval,
and structured output generation.
◦ Deployment & Infrastructure: Deployed scalable AI systems using Vercel and Render with REST API
architecture and modular design.

Projects
• AI Career Assistant: Conversational AI system enabling recruiters to explore AI projects, portfolio, and CV through
a chat interface.
• AI Interview Intelligence: Multimodal AI system analyzing interview audio using speech recognition and LLM
reasoning.
• AI Knowledge Copilot: Retrieval-Augmented Generation system using embeddings and semantic search.
• AI Research Agent: Autonomous agent performing multi-step reasoning and retrieval using LangGraph.

Programming Skills
• Languages: Python, TypeScript, JavaScript AI/ML: OpenAI API, LangChain, LangGraph, TensorFlow,
PyTorch, RAG, Embeddings
Frontend: React, Next.js, TailwindCSS Backend: FastAPI, Node.js
Tools: n8n, Vercel, Render, Git, REST APIs