9
4
United Kingdom
2 years of experience
I am an AI Developer, Full Stack Engineer, and Data Engineer with a passion for creating smart solutions to real-world problems. I build AI-driven systems that automate tasks, improve decision-making, and enhance user experiences. With skills in both front-end and back-end development, I connect data insights with easy-to-use interfaces. I also design secure, scalable cloud systems and data pipelines to help businesses get the most out of their data. I love solving complex problems using the latest technology, and I’m dedicated to delivering solutions that make a real impact.
The rapid advancement of AI and machine learning has introduced autonomous agents capable of independent thought and action, revolutionizing various industries. As their numbers grow, a robust framework is essential to govern their interactions and ensure effective operation. Agentic Protocol provides such a framework, offering principles for secure, efficient, and trusted collaboration. Key principles include purposefulness, accountability, trustworthiness, independence, intelligence, and collaboration for agents, along with discoverability, observability, interoperability, certifiability, operability, and economic vitality for the ecosystem. Agentic Protocol's components include a marketplace, registry, and DNS, ensuring a stable and reliable infrastructure for agent operations. Agentic protocol can democratize AI agents by enabling decentralized control, fostering transparency, and ensuring equitable access. This empowers individuals and communities to harness AI's potential, promoting innovation and inclusivity. Additionally, agent collaborations enhance problem-solving capabilities, while the system is protected by Shield Gemma guard rail, ensuring robust security and ethical compliance.
1 Dec 2024
Nebula AI is an autonomous space mission control system designed to optimize satellite operations through cutting-edge artificial intelligence. It integrates advanced AI agents that proactively detect anomalies, dynamically allocate resources, and make real-time decisions to ensure mission success. By leveraging real-time telemetry data and predictive analytics, Nebula AI enhances system reliability, reduces operational risks, and minimizes human intervention. The system features real-time dashboards, simulation modules, and task scheduling agents to support complex missions like Saturn Orbit Insertion and Titan Flybys. Its adaptable architecture supports multi-satellite coordination, making it a future-ready solution for space exploration and commercial satellite management.
9 Feb 2025
KaijuMaps and KaijuChat is a revolutionary AI-powered navigation and travel planning platform with an interactive chatbot designed to enhance decision-making and personalization. Using DeepSeek AI, it interprets user queries semantically, generating highly relevant, context-aware responses. Additionally, Camel-AI's multi-agent collaboration refines results by leveraging task-specific agents, such as travel planners or itinerary optimizers, to provide detailed, actionable insights. The system features a React-based interactive dashboard with real-time response updates, enabling users to plan trips, explore local attractions, and receive customized recommendations. With its robust architecture combining cutting-edge AI technologies, KaijuMaps is scalable across multiple domains like travel, leisure, solo-travelling, healthcare, business, and education. It's designed to save time, reduce complexity, and deliver unparalleled user experiences.
16 Feb 2025
Industrial sectors face $864 billion in annual losses due to unexpected equipment failures, with 80% of breakdowns occurring due to undetected anomalies. Traditional AI models struggle with multi-dimensional failure detection, leading to inefficiencies and costly downtime. So, our team developed Freya—a quantum-enhanced predictive maintenance system that combines Quantum State Analysis, AI-driven scheduling, and IBM’s Granite 3.1-8b-instruct AI to predict and prevent failures before they happen. Freya analyzes sensor data in real time, detecting anomalies 48 hours in advance, optimizing maintenance schedules, and reducing downtime by 30%. Key Features: 🔹 Quantum-Enhanced Anomaly Detection – Detects failures invisible to traditional AI 🔹AI-Driven Maintenance Planning – Optimizes scheduling and resource allocation 🔹 IBM Granite AI Core – Industry-trained with 95% prediction accuracy 🔹 SaaS Model for Enterprises – Scalable solution for manufacturing, aerospace, energy, and smart cities By leveraging quantum computing principles and advanced AI, Freya transforms industrial maintenance from a reactive process into a proactive and cost-efficient strategy, ensuring maximum uptime and efficiency.
23 Feb 2025