Prathik Chandra Hegde
MS Computer Science @UTA Software Engineer | Full Stack Developer | Machine Learning | Data Visualization | ServiceNow | Azure | Python | Java | Reactjs | JavaScript | Git | SQL
- Role
- Software Engineer at Intel
- Location
- Edison, NJ, US
- LinkedIn followers
- 500 followers
About Prathik Chandra Hegde
Software Engineer | Full Stack Developer | Machine Learning Enthusiast Passionate about building scalable, user-centric applications that drive innovation and enhance user experiences. With a strong foundation in full-stack development, cloud technologies, and data visualization, I specialize in delivering high-performance solutions that align with business goals. Technical Expertise: Proficient in Python, Java, JavaScript, and SQL Experience with React.js, Node.js, Django, Spring Boot, and Angular Skilled in cloud platforms like AWS and Azure Strong background in Machine Learning & Data Structures Professional Experience: Intel Corporation: Developed high-performance web applications, optimized cloud infrastructure, and implemented automated testing to enhance software reliability. Nandi Security & Infosys: Led full-stack development projects, improved system efficiency, and spearheaded CI/CD pipelines for seamless deployments. What Drives Me: I thrive on solving complex challenges with creative solutions, constantly learning new technologies to stay ahead in the ever-evolving tech landscape. My goal is to develop impactful software that optimizes efficiency and transforms businesses. Let\'s connect and explore opportunities to collaborate!
Experience
Software Engineer
Jan 2025 — Present
Developed and optimized scalable web applications using React.js and Node.js, resulting in a 40% reduction in load times and supporting over concurrent users without performance degradation. • Engineered robust cloud infrastructure on AWS, achieving a 99.9% uptime for deployed services while reducing costs by 30% through effective resource management and automated scaling strategies. • Implemented comprehensive testing frameworks utilizing JUnit and Selenium, increasing code coverage to 85% and decreasing bug reports by 50%, thereby enhancing overall software reliability for client projects.
Education
The University of Texas at Arlington
Master of Science - MS
2022 — 2024
Nitte Meenakshi Institute of Technology
Bachelor of Engineering - BE
2016 — 2020
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