Building Digital Solutions,
Driving Innovation.
A research-driven technologist passionate about Smart Energy Systems, Large-Scale IoT, and Cloud-Native Architectures.
About Me
With a foundation in doctoral research (Ph.D. in Engineering) and years of hands-on experience, I bridge the gap between academic innovation and industrial application. My focus is on creating intelligent systems, particularly in the domains of sustainable energy and large-scale IoT.
I thrive on architecting solutions that are not only technologically advanced but also efficient and impactful. I have a proven track record of consulting for major industry players and leading research initiatives, turning complex challenges into patented, real-world solutions.
Areas of Expertise
A few of the technology fields that are my focus and expertise.
Smart Energy Systems
Architecting intelligent grids, Battery Energy Storage Systems (BESS), and renewable energy integrations (Solar PV).
IoT & Edge Computing
Developing end-to-end IoT platforms and deploying ML models on edge devices for real-time control.
Data Science & AI
Using Big Data, Machine Learning, and Digital Twin simulations to predict, optimize, and manage complex systems.
Cloud Architecture
Building scalable, cloud-native apps on GCP & AWS using Kubernetes, Microservices, and automated CI/CD pipelines.
Featured Projects
Some examples of the work and explorations I've done.
Nation-Scale Energy Data Platform
Consulted on the architecture of a critical national infrastructure for energy data management and analytics.
Intelligent Battery Management Systems
Led development of patented smart battery systems (BMS) for EVs and stationary storage, enhancing safety and longevity.
IoT-Driven Smart Campus
Designed and deployed a comprehensive IoT infrastructure for a leading university, enabling smart energy management.
Photovoltaic Digital Twin
Developed a digital twin for photovoltaic modules, enabling advanced thermal management and performance optimization.
Generative AI for Big Data
Integrated Generative AI to analyze large-scale data from energy information systems, uncovering deep insights.
EV Charging Station Management
Developed an edge-based energy management system for EV charging stations integrated with a central information system.
Research & Publications
Contributing to the scientific community through peer-reviewed articles in high-impact journals and international conferences.
High-Impact Journal Contributions
Authored and co-authored numerous articles in prestigious journals, including IEEE Access, focusing on data-driven modeling, energy forecasting, and performance analysis of smart grid components.
International Conference Proceedings
Regularly present findings at key international conferences (e.g., ICEVT, EPIC) on topics like battery health prediction, anomaly detection in BESS, and advanced control for electric vehicles.
Validated Skills
Holding multiple industry-recognized certifications, validating expertise in designing and managing scalable, reliable cloud infrastructure.
Google Cloud Platform
Specialized in architecting with Google Compute Engine, GKE, and leveraging Big Data & Machine Learning services.
Amazon Web Services
Proficient in cloud-native fundamentals, core services, and best practices for building on the AWS platform.