6
2
Bangladesh
3 years of experience
I am a passionate and driven computer engineering graduate with a strong background in programming, UI/UX design, and content writing. My journey has been fueled by a deep curiosity for problem-solving and innovation, which I bring into every project I undertake. As a hands-on learner, I’ve worked on various projects, from developing AI-based applications and web solutions to creating interactive user interfaces and deploying full-stack systems. Recently, I’ve been exploring the exciting intersections of AI and networking, aiming to build sustainable solutions that optimize energy consumption in public networks. I thrive in competitive environments where I can test my skills, embrace challenges, and push boundaries. With a knack for collaboration, I enjoy working in dynamic teams, learning from peers, and sharing knowledge to create impactful solutions. When I’m not coding or designing, I’m exploring new technologies, enhancing my portfolio, and contributing to open-source projects. Whether it’s tackling complex problems or crafting seamless user experiences, I’m always eager to make a meaningful impact.
EcoSphereAI is a cutting-edge platform designed to revolutionize connectivity systems by making them more efficient, sustainable, and adaptable to future demands. At its core, EcoSphereAI leverages advanced AI, machine learning, and big data analytics to address pressing challenges such as network congestion, energy inefficiency, and environmental impact. The platform offers a comprehensive suite of features, including energy optimization, predictive maintenance for network nodes, disaster risk assessment, traffic load forecasting, and sustainability reporting. By minimizing energy consumption, reducing carbon footprints, and improving network reliability, EcoSphereAI caters to network providers, users, and the environment alike. With a focus on scalability, the platform is future-ready for IoT and emerging technologies, enabling seamless integration and adaptability. EcoSphereAI represents a visionary step toward sustainable, green technology-driven networks, fostering a more connected and eco-friendly future.
26 Jan 2025
LeadGenAI is an innovative application designed to revolutionize LinkedIn lead generation and business strategy optimization. Built on Streamlit, it harnesses IBM Granite to deliver targeted lead generation and to craft comprehensive business plans. Users can filter LinkedIn profiles by country, industry, and company to extract vital information such as names, locations, positions, and more. The app supports seamless data export in CSV and PDF formats and maintains a detailed history of past sessions for future reference. Additionally, LeadGenAI’s AI-powered business optimization feature provides actionable insights, including market analysis, revenue models, and strategic recommendations. This integration of advanced AI technology with user-friendly functionality makes LeadGenAI an essential tool for modern business growth.
23 Feb 2025