Hi,
I am HARIHARAN M Software developer
About
I am HARIHARAN M
As a B.E Computer Science and Engineering graduate of 2024 Batch, with expertise in full-stack development. I completed a rigorous course at a top institute in Chennai, gaining proficiency in HTML , CSS, BOOTSTRAP, JavaScript, Python, SQL, AWS and Machine Learning and Java. My skill set extends to UI/UX design, enabling him to create both functional and Responsive visually appealing web applications. I have strong foundation in both frontend and backend technologies makes him a versatile developer, well-prepared to contribute effectively to any project or team
EDUCATION B.E COMPUTER SCIENCE AND ENGINEERING
PANIMALAR INSTITUTE OF TECHNOLOGY - CHENNAI
CGPA :8.31
AUG-2020 - JULY 2024
INTERNSHIP & TRAINING
I did my Full Stack Development course in Code Ninja Academy
(6 months). I gained extensive knowledge in
programming , Database(sql) and Web Development-React js and Django
framework.
jan 2024 - july 2024
CERTIFICATION
CERTIFICATION FROM NAANMUDHALVAN -- CLOUDCOMPUTING(AWS)
CERTIFICATION FROM SUNSTONE -- FULL STACK DEVELOPMENT
CERTIFICATION FROM GUVI -- CHATGPT(PYTHON)
CERTIFICATION FROM INFOSYS SPRINGBOARD -- CYBER SECURITY APPLICATION
Skills
Profesional Skills
I have strong foundation in Web Development html, css, javascript ,reactjs, Python, java , SQL (database), ui/ux and better knowledge in both front end and back end developing the website and web design , I'm eager to use my tech skills to Problem Solving , communication skill , I'm on the lookout for opportunities with companies that appreciate hard work and provide chances to grow in my career.
Projects
PROJECT 1 :
Dynamic Blockchain adoption for global agriculture products using Cloud Services
The integration of blockchain technology and cloud services in global agriculture is paving the way for a more transparent, efficient, and reliable supply chain, for all stakeholders involved
PROJECT 2 :
Traffic Accident Severity Prediction using Machine learning in python
To apply my proficiency in machine learning and Python towards building effective traffic accident severity prediction systems, with the goal of improving emergency response and road safety strategies.
PROJECT 3 :