Autonomous Research Agent
Summary
Developed a fully autonomous AI agent designed to browse the web, synthesize research, and generate structured reports.
About
Results-driven AI/ML Agentic Engineer with proven expertise in designing, building, and deploying intelligent, autonomous AI systems that deliver measurable business impact. Certified AWS AI Practitioner with a strong foundation in agentic workflows, LLM integration, and cloud-based ML pipelines. Eager to leverage cutting-edge AI skills to innovate at Lobby AI, contributing to the next generation of intelligent automation tools.
Work
Independent Consultant
|AI/ML Engineer (Freelance)
Remote
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Summary
Led the design and deployment of multi-agent AI pipelines and RAG applications, significantly enhancing document analysis workflows and intelligent Q&A systems for diverse clients.
Highlights
Designed and deployed multi-agent AI pipelines using LangChain and AWS Bedrock, automating document analysis workflows and reducing manual processing time by 60%.
Built advanced RAG (Retrieval-Augmented Generation) applications, integrating vector databases (Pinecone, FAISS) with LLMs to power intelligent Q&A systems.
Developed sophisticated autonomous agents capable of tool use, web browsing, and code execution leveraging ReAct and Plan-and-Execute frameworks.
Collaborated strategically with clients to define AI roadmaps and translate complex business requirements into production-ready agentic solutions.
Tech Startup
|Junior Software Developer
Lagos, Lagos, Nigeria
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Summary
Developed and maintained robust RESTful APIs and backend services, integrating AI/ML functionalities to enhance data-driven applications and user experiences.
Highlights
Built and maintained core RESTful APIs and backend services, efficiently powering data-driven applications for thousands of end users.
Integrated third-party AI/ML APIs (OpenAI, Google AI) into existing platforms, enabling intelligent features that improved user engagement by an estimated 15%.
Contributed to critical data preprocessing pipelines, which improved model input quality and downstream accuracy by 20%.
Participated actively in Agile sprint cycles, code reviews, and cross-team collaborations, ensuring timely delivery of high-quality software solutions.
Education
University (Nigeria)
Nigeria, Nigeria
Bachelor of Science
Computer Science
Languages
English
Skills
AI/ML Agents
Agentic AI Design, Multi-Agent Systems, LLM Orchestration, Prompt Engineering, ReAct/RAG Frameworks.
Cloud & AWS
AWS Bedrock, SageMaker, Lambda, S3, EC2, IAM, CloudWatch.
Frameworks
LangChain, LlamaIndex, AutoGen, CrewAI, Hugging Face Transformers.
Languages
Python, JavaScript, SQL, Bash.
MLOps
Model Deployment, CI/CD for ML, Experiment Tracking, API Integration.
Soft Skills
Problem Solving, Cross-functional Collaboration, Technical Communication.
Projects
RAG-Powered Document Assistant
Summary
Engineered an enterprise document Q&A system for semantic retrieval and accurate information extraction.
Multi-Agent Customer Support Bot
Summary
Architected and deployed a multi-agent system to enhance customer support operations through intent classification and knowledge retrieval.