Bridging hardware, data, and software by architecting IoT solutions, building data-driven AI systems, and developing scalable full-stack applications that transform real-world problems into reliable, production-ready technology.
I am an undergraduate student in Electronics and Communication Engineering with strong hands-on experience in Internet of Things (IoT) system development, embedded systems, and data-driven applications.
My academic interests lie in designing IoT-based solutions and integrating Artificial Intelligence and Machine Learning techniques to enable intelligent, scalable, and sustainable systems — particularly in the context of smart infrastructure and sustainable development in India.
I am actively involved in project-based research and preparing research manuscripts for conference and journal publication in areas related to IoT, AI/ML integration, and smart sustainable systems.
Bachelor of Technology — Electronics & Communication Engineering
Comprehensive coursework covering embedded systems, digital electronics, communication systems, IoT, and applied software development with practical, project-based learning.
Intermediate — Science (Physics, Mathematics)
Focused on Physics & Mathematics, laying a solid groundwork for advanced technical education.
Matriculation — Science & Mathematics
Built a strong foundation in Mathematics, Science, and analytical thinking.
Early detection of fire patterns using temperature and smoke sensors, with alerts to a web dashboard.
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AI-powered grammar, plagiarism, and content analysis platform that processes large documents and generates detailed downloadable reports.
View on GitHubServo-controlled solar tracking that increases panel efficiency based on light intensity from LDR sensors.
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AI-driven heart disease prediction system leveraging ML models to support early diagnosis and data-driven healthcare decisions.
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ML-driven IoT system detecting apple spoilage early, reducing food waste through real-time sensor-based monitoring.
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Integrated ML models to process real-time sensor data for intelligent farm condition analysis.
View on GitHubOdisha AI Symposium · Symposium Proceedings 2025 · Paper ID - 1571229078
I contributed to a technical study on applying AI, machine learning, and NLP to enhance social resilience in disaster management and personalized healthcare. The findings highlight improved prediction accuracy, resource optimization, and decision-making through AI-driven systems, while emphasizing ethical AI practices for sustainable societal impact.
International Conference on "Artificial Intelligence & Machine Learning in Communication and Power Systems" AIMLCPS 2026
Designed and implemented a smart dual-axis solar tracking system using sensor-based control to maximize photovoltaic power generation. Experimental results demonstrated improved energy capture and higher power output compared to fixed solar panel systems, validating the effectiveness of dual-axis tracking for enhanced photovoltaic efficiency.
GLOBAL SUMMIT on BLUE ECONOMY - Harnessing Science, Innovation & Sustainability for India's Marine Future
Designed and developed an AI-based IoT system for real-time coastal water quality monitoring using ESP32 and multiple environmental sensors. The system integrates pH, turbidity, dissolved oxygen, temperature, and gas sensing with cloud platforms like ThingSpeak and Blynk IoT for remote visualization and continuous monitoring. Machine learning models including regression, SVM, KNN, decision tree, and AdaBoost achieved 93–96% accuracy, enabling efficient and cost-effective environmental assessment for sustainable Blue Economy management.
PwC (PricewaterhouseCoopers)
Building enterprise technology skills through hands-on learning in Generative AI, Core Java, Modern Data Systems, and Salesforce as part of PwC’s Launchpad Program.
Cognifyz Technologies
Built responsive, interactive UIs with animations, theming, and clean component structures. Delivered production-grade frontend interfaces.
Bleep Education
Used Python for AI model development, including data analysis, feature engineering, and model evaluation.
Cognifyz Technologies
Built and tested ML models, performed data preprocessing, and analyzed datasets to improve model performance.
Central Tool Room & Training Centre
Integrated sensors, microcontrollers, and cloud services to deliver end-to-end automation solutions. Worked with real hardware deployments.
IEEE-CS Guru Nanak Institutions · 2025
Developed a web-based platform for circular fashion — enabling clothing exchange for credits with AI-driven style recommendations to reduce textile waste.
India's largest skill contest · 2025
Awarded Certificate of Merit after scoring 94.32 percentile in India's largest national-level skill assessment — reflecting strong problem-solving and technical proficiency.
NIST University Foundation Day · 2025
Presented an IoT-based Smart Agriculture Monitoring System at NIST's 1st University Foundation Day, demonstrating real-time sensor-based agricultural monitoring.
Design sensor networks, firmware, and secure cloud pipelines that turn real-world signals into reliable, real-time insights.
Build and deploy ML models that detect patterns, predict events, and optimize decision-making for IoT and business workflows.
Build responsive web dashboards that visualize live data streams, alerts, and analytics in a clean, stakeholder-friendly way.
Rapidly prototype and test embedded systems, integrating sensors, connectivity, and AI to validate ideas before full-scale builds.
"Gopal consistently demonstrates strong fundamentals in electronics and communication, and quickly turns concepts into working IoT prototypes. He has excellent IoT and embedded systems skills — builds complete prototypes from sensors to cloud dashboards with impressive speed and reliability."
"His interest in AI, ML, and embedded systems shows a clear research mindset. Gopal documents his work well and thinks in terms of experiments, results, and improvements. Strong AI/ML researcher mindset — his work shows deep understanding of signal processing, predictive modeling, and real-world IoT applications."
"Gopal writes clean, well-structured code and understands how to integrate hardware, APIs, and front-end components. He would be a strong addition to any development team — smooth cloud integrations and professional project documentation throughout."
"He takes ownership of projects, explores beyond the syllabus, and delivers practical solutions in domains like IoT and smart systems. A motivated learner with excellent growth potential — exceptional engineering talent in AI/ML who delivers practical, scalable solutions."
Interested in collaborating, hiring, or sharing an idea? I'm always open to conversations and new opportunities.