2
2
Nigeria
4+ years of experience
Highly motivated and experienced Data Science, Machine Learning & AI Professional with a passion for Generative AI and AI Agents. Proven ability to design, develop, and deploy AI models for various applications. Possess strong programming skills in Python and experience working with large language models (LLMs). Eager to contribute to the advancement of AI and Web 3 and also its applications in the real world. An experienced Mechanical Engineer in design, fabrication and project management with COREN number R 37008.

This project is an autonomous market research agent designed to generate comprehensive, up-to-date company dossiers directly from live web sources. Powered by Gemini 3.5 Flash via the official google-genai SDK, the agent orchestrates a dynamic ReAct (Reason + Act) loop to answer multi-layered queries. The data acquisition layer integrates Bright Data’s APIs to bypass common scraping hurdles like anti-bot tracking and CAPTCHAs. Specifically, it employs the SERP API to fetch clean Google search results and the Web Unlocker API to extract webpage text. To ensure high execution speed and data quality, the engine leverages a ThreadPoolExecutor to run search and scraping tasks concurrently, while utilizing BeautifulSoup to structurally parse HTML before feeding it to the model. Users interact with the agent through a streamlined Streamlit web interface. They can type in a target startup name, monitor the parallel tool execution logs, view the generated report containing key leadership, funding history, and business models, and download the output directly as a clean Markdown file. This architecture provides a functional template for real-time web-grounded AI workflows.
31 May 2026

Dasalt 360 Ltd is a sophisticated, multimodal multi-agent enterprise system engineered specifically to navigate the intricate complexities of the West African IT hardware market. Operating from its headquarters in Jimeta, Adamawa State, Nigeria, the system serves as an autonomous "System of Record" that bridges the strategic gap between global hardware procurement in the United States, national wholesale hubs in Lagos, and local retail distribution in Yola North. The architecture is meticulously built upon Vultr’s Dedicated Cloud Compute infrastructure, ensuring secure, low-latency orchestration of business logic. The "Intelligence Layer" is powered by Vultr Serverless Inference, utilizing Llama 3.1 70B for high-precision financial reasoning and Llama 3.2 Vision for the optical identification of hardware assets. A primary innovation of this project is its ability to handle the extreme currency volatility of the Nigerian Naira (₦). The AI acts as an autonomous Chief Financial Officer (CFO), performing real-time landing cost calculations based on a fixed 1,400 NGN/USD exchange rate, while simultaneously integrating localized logistics overheads—specifically the 7,000 Naira per-unit secure transit fee from Lagos to Yola. Beyond text-based automation, the system demonstrates the "Future of Work" through a multimodal interface. It incorporates a bespoke Voice-to-Voice engine and Vision-to-Text capabilities, allowing CEO Christopher Krim and his team to manage inventory hands-free in the warehouse or via photographic evidence of arrivals. To maintain the highest corporate standards, the system is instructed to curate every response in elegant, sophisticated natural language, providing polished executive briefs that eliminate technical jargon. By centralizing planning, coordination, and execution on Vultr, Dasalt 360 Ltd exemplifies a new era of autonomous enterprise operations, ensuring business sustainability and profitability in a challenging economic environment.
19 May 2026