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Schedule Interview NowSamuel I. Backend, AI and Cloud Platforms
My name is Samuel I. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: MongoDB, Python, JavaScript, Machine Learning, Scrapy, etc.. I hold a degree in Master of Engineering (MEng). Some of the notable projects I’ve worked on include: Codementor student Reviews, AI medical chatbot, Stack Overflow Web Scraping Automation, RAG Email Generator – Automate Cold Outreach with AI, AI medical Recommendation system, etc.. I am based in Akure, Nigeria. I've successfully completed 6 projects while developing at Softaims.
I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.
I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.
My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.
Main technologies
Backend, AI and Cloud Platforms
2 years
MongoDB
1 Year
Python
1 Year
JavaScript
1 Year
Additional skills
Direct hire
Potentially possible
Previous Company
Andela
Experience Highlights
Codementor student Reviews
I am currently working at codementor as mentor to many software developer and also solving real world project for clients. Currently I am having 5/5 Ratings I also make sure I do quality Job and teaching with good reviews.
AI medical chatbot
I developed a Medical AI Chatbot to provide real-time, reliable medical information. Using Python, LangChain, Pinecone, Groq API, and Flask, it delivers fast, personalized healthcare advice. This solution helps reduce pressure on healthcare providers by answering routine queries, making trusted medical info more accessible and empowering users to manage their health.
Stack Overflow Web Scraping Automation
I developed a Python-based scraper using BeautifulSoup to extract data from Stack Overflow, including questions, answers, tags, user info, and more. The solution includes automated scheduling, data cleaning, and storage in CSV. This project enabled efficient data analysis, trend tracking, and content creation for technical insights.
RAG Email Generator – Automate Cold Outreach with AI
The Cold Mail Generator is an AI-driven tool designed to generate personalized cold emails for job applications or client outreach by analyzing job postings and company information from URLs. Built with Python and Streamlit, it leverages LangChain and Groq API for natural language processing, Pinecone DB for vector storage, and a Retrieval-Augmented Generation (RAG) approach to generate contextually relevant, professional emails. This tool streamlines outreach by automating email drafts while maintaining personalization.
AI medical Recommendation system
The AI-Driven Healthcare Recommendation System provides users with personalized health advice based on symptoms they input. As the Machine Learning Engineer and App Developer, I developed the AI models for disease prediction and built the web app's frontend and backend. The system improves health awareness, offers early guidance, and promotes preventive care through personalized recommendations
Education
Durban university of Technology South Africa
Master of Engineering (MEng) in Electrical Power Engineering
2024-01-01-2027-01-01
Languages
- English
Github