Building data platforms and intelligent systems.
Data is only valuable when it can be trusted, scaled, and transformed into decisions.
Over the past several years, I have built and supported enterprise data platforms, cloud integrations, deployment pipelines, and production systems that help organisations move, manage, and use data effectively. My focus is on creating reliable foundations for analytics, automation, and data-driven decision making.
Currently pursuing an MSc in Mathematical Modelling and Machine Learning at University College Cork, I am expanding my expertise into machine learning and AI through academic research and hands-on projects. I am particularly interested in how data, cloud infrastructure, and intelligent systems can work together to solve real-world business problems.
Building reliable platforms, data systems, and intelligent technologies across cloud and enterprise environments.
Cubastion Consulting Pvt. Ltd, India
Worked across cloud data platforms, enterprise integrations, deployment automation, and solution delivery within Salesforce and Azure ecosystems.
Vedanta Limited, India
Supported equipment reliability, maintenance planning, and operational performance improvement within large-scale aluminium production systems.
Analyzed maintenance and breakdown data across critical production assets to identify recurring failure patterns, prioritize corrective actions, and support preventive maintenance initiatives.
Applied reliability metrics including MTBF, MTTR, downtime, and equipment availability to improve maintenance planning and reduce operational disruptions across production systems.
Supported inventory planning for maintenance-critical components and contributed to continuous improvement initiatives, including 5S programs that improved operational audit scores from 52 to 72.
Hindustan Aeronautics Limited, India
Completed industrial training at HAL with exposure to aerospace manufacturing operations, quality assurance processes, inspection procedures, and reliability practices in safety critical engineering environments.
Experience across data engineering, machine learning, cloud platforms, and production system operations.
Certifications in cloud platforms, machine learning, AI applications, and enterprise data technologies.
Academic background focused on machine learning, mathematical modelling, scientific computing, and engineering systems.
University College Cork, Ireland
Focused on machine learning, mathematical modelling, scientific computing, optimisation, and data-driven analysis of complex systems.
Implemented reservoir computing (NGRC) models to simulate and predict chaotic systems including Lorenz-63 and double-scroll circuits.
Analysed convergence behaviour of optimisation algorithms including Adam, SGD, Momentum, and AdaGrad across nonlinear objective functions.
Applied clustering techniques including K-Means, hierarchical clustering, and DBSCAN using multiple evaluation metrics.
Worked with numerical methods and scientific computing to model and analyse complex systems.
National Institute of Technology Patna, India
Built a foundation in engineering design, system analysis, reliability, and applied problem solving.
Designed and developed a pneumatic sheet metal cutting system integrating mechanical and control components.
Performed force and performance analysis to estimate cutting capacity under operational conditions.
Evaluated system behaviour under varying design constraints and operating parameters.
Secured 1st place in a national engineering design competition at IIT Kharagpur.