
7
4
United Kingdom
1 year of experience
Highly analytical professional with 4 years of experience in collating, evaluating, and interpreting large datasets into critical insights to support the execution of large-scale projects across fast-paced environments. Well-versed in developing and implementing machine learning / Deep Learning algorithms effectively supporting engine recommendation, marketplace segmentation, behavioural analysis, customer retention, and network optimisation. Ability to enable quality verification and automate business processes by utilising a wide range of digital tools. Proven strong expertise in data mining, data visualisation, Data Analysis, NLP & NLU, and extracting insights Refined communicator with strong interpersonal skills and capability to accomplish stakeholders' requirements throughout the project lifecycle and provide strategic expertise to clients in solution implementation. Technically adept at Python, R Programming, Power BI, AWS, Azure-ML, SQL Server and MS Excel.
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Mandla Rice MRV System is a blockchain-powered platform enabling tribal farmers in rural India to access global carbon credit markets through transparent, low-cost tokenization of their environmental contributions. By leveraging Soroban smart contracts on the Stellar blockchain, the system eliminates traditional barriers that have historically excluded small-scale farmers from climate finance. The platform integrates AI-driven Measurement, Reporting, and Verification (MRV) using GPT-5 to assess sustainable farming practices. Verified outcomes are converted into fungible carbon credit tokens, which farmers can directly list and sell on a decentralized marketplace—bypassing costly intermediaries and verification fees that typically consume 30–40% of revenue. Soroban smart contracts provide a transparent, immutable infrastructure where every credit is recorded on-chain, preventing double counting and enabling real-time settlement in under 5 seconds. Key achievements include: A comprehensive Rust-based smart contract architecture managing carbon credit minting, marketplace operations, and retirement tracking. A TypeScript service layer for seamless blockchain integration. A farmer-facing mobile application designed for accessibility and usability in low-connectivity rural environments. This approach has delivered 40–60% income increases for participating farmers while enabling verified reductions of 50,000+ tons CO₂e annually. By combining equitable finance with measurable climate impact, Mandla Rice MRV System demonstrates how blockchain and AI can democratize access to environmental markets, turning sustainable agriculture into a profitable enterprise for marginalized communities. Built for the Soroban Bounty, the platform offers a scalable blueprint that can be replicated globally—showing how emerging technologies can simultaneously address climate change and economic inequality.
24 Aug 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

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

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