©Shivam Gulve | All Rights Reserved
years of experience
25 Projects
We craft AI-driven, scalable applications that transform business operations, enhance efficiency, and drive sustainable growth across sectors.
Delivered AI-powered, cloud-native apps for geospatial analysis and healthcare—scaling insights, performance, and impact.
From Laravel and Django to React and Angular, I build seamless systems that optimize performance and elevate user experience.
I’m a Software Engineer with 4.5+ years of experience crafting scalable, user-friendly web applications. From front-end magic with React and Angular to backend wizardry with Laravel and Django—I build tech that solves real problems.
I specialize in full-stack development, cloud-native solutions, and data-driven systems—focused on performance, scalability, and clean UX.
Delivered solutions in healthcare and education that improved efficiency by 40% and reduced costs by 20% using cloud and AI-based tools.
When I’m not coding, I’m learning, mentoring, and collaborating with teams to bring big ideas to life. Let’s build something awesome together!
📧 Email: [email protected]
🌐 Website: www.shivamgulve.com
📍 Address: Dublin, Ireland
From backend development to cloud integration, I help build scalable, AI-powered solutions tailored for impact.
Experienced in PHP-Laravel, Django, and Python for building scalable, secure applications that improve operational efficiency.
Optimizing applications on AWS, Azure, and GCP, with expertise in CI/CD pipelines, containerization, and cloud migrations.
Proficient in front-end technologies like React, Angular, and back-end frameworks for developing end-to-end solutions.
Building responsive, user-friendly websites using modern frameworks like React to ensure seamless user experiences.
Master’s in Data Analytics with hands-on experience in building pipelines and dashboards using Power BI and cloud tools.
Offering expert guidance and ongoing technical support to ensure smooth deployment, performance, and scalability.
Advanced experience building scalable backend systems and APIs.
Developed data-driven applications with secure authentication and admin tools.
Proficient in React, Vue & custom JS logic to deliver smooth UI/UX.
Experience writing PHPUnit, Pytest, and front-end component tests.
Implemented model tracking, logging, and reproducibility in ML projects.
Worked with WMS/WFS layers, style management, and GeoServer automation.
Built CI/CD pipelines, managed merge requests, and handled automated testing.
Crafted responsive layouts with semantic HTML and modern CSS styling.
Business consulting consultants provide expert advice and guida businesses to help them improve their performance, efficiency, and organizational
Completed a Master's degree specializing in Data Analytics, focusing on machine learning, data mining, statistical modeling, and cloud-based data solutions.
Earned a Bachelor's degree in Computer Engineering, with a focus on software development, databases, and computer networks. Participated in multiple projects, honing problem-solving and coding skills.
Completed a Diploma in Computer Engineering, focusing on foundational programming, database management, and networking. Gained hands-on experience through various technical projects and internships.
Completed my SSC education with a strong foundation in mathematics, science, and technology, developing early interest in data, problem-solving, and computer applications.
Leading development of scalable AI-powered solutions and public APIs for geospatial analysis, deployed on Google Cloud Platform.
Built healthcare management systems, optimized Azure cloud performance, and integrated Salesforce CRM for smoother operations.
Developed web and mobile apps with Laravel, Django, and React Native, increasing user engagement by 25%. Integrated machine learning and ensured 95% on-time delivery.
Developed the university's admin panel, improving operational efficiency by 35%. Led backend development for a canteen app serving 3,000 users, integrated APIs, and improved ERP speeds by 40%.
Below are some of my research publications focused on machine learning, real estate price prediction, healthcare, and image processing.
International Journal of Engineering Applied Sciences and Technology
This paper compares nine regression models to forecast real estate prices using metrics like R², MAE, MSE, and RMSE.
International Journal of Scientific Research & Development
Explores classification algorithms for predicting diabetes with 82.46% accuracy using Logistic Regression.
International Journal of Scientific Research & Development
Used CNNs to detect objects in aerial images, overcoming challenges like background clutter and shape variance.
©Shivam Gulve | All Rights Reserved