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My name is Victory N. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Data Science, Python, SQL, Data Analytics, AI Chatbot, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I’ve worked on include: Case Radar - A Generative AI Application for Nigerians to know the law, How to Build RAG Apps with Pinecone, OpenAI, Langchain & Python, Sentiment Analysis Website, How to Add Memory to RAG Applications and AI Agents. I am based in Abuja, Nigeria. I've successfully completed 4 projects while developing at Softaims.
I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.
The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.
I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.
Main technologies
AI, Python and Data Platforms
3 years
Data Science
1 Year
Python
2 Years
SQL
1 Year
Additional skills
- Data Science
- Python
- SQL
- Data Analytics
- AI Chatbot
- FastAPI
- Flask
- OpenAI API
- Langchain
- Technical Writing
- AI Agent Development
- LLM Prompt Engineering
- AI Builder
- Machine Learning
- Back-End Development
- Backend
Direct hire
Potentially possible
Previous Company
Flutterwave
Experience Highlights
Case Radar - A Generative AI Application for Nigerians to know the law
I built RAG pipelines and AI agent workflows to answer user queries efficiently, analysing over 1,000 PDF documents for the knowledge base. I exposed endpoints via FastAPI and managed deployment with a focus on speed and scalability, optimising for high traffic without performance issues.
How to Build RAG Apps with Pinecone, OpenAI, Langchain & Python
I wrote a technical guide on building Retrieval-Augmented Generation (RAG) apps using Pinecone, OpenAI, LangChain, and Python. The goal was to simplify RAG concepts and help developers build production-ready pipelines. I covered vector search, LLM integration, and prompt orchestration with clear code examples. The article has helped many AI engineers and developers quickly grasp and implement RAG workflows.
Sentiment Analysis Website
This project is used to analyse sentences and determine whether a sentence is positive, negative or neutral. This is a display of my Natural Language Processing skills. The backend was built with Flask and deployed on render. https://sentiment-analyzer-app.onrender.com/
How to Add Memory to RAG Applications and AI Agents
I created a technical article on how to add memory to RAG applications and AI agents using LangChain and Python. The goal was to help developers build more context-aware AI systems that can remember and reference past interactions. I covered different memory types like ConversationBufferMemory and showed how to integrate them into RAG workflows. The article has helped AI engineers build more engaging, stateful AI apps.
Education
Enugu State University of Science and Technology
Bachelor of Engineering (BEng) in
Languages
- English
- Igbo
Github