Arikutti Jyothinadh
@arikuttijyothinadh
Computer Science graduate skilled in AI, Java, and full-stack web development, building practical, safety-focused solutions.
What I'm looking for
I am a Computer Science graduate with hands-on experience in AI, full-stack web development, and machine learning. I combine Java, Spring Boot, ReactJS, and deep-learning techniques to deliver practical applications.
I have developed full-stack systems including a meal-planning app, a student result management system, and a productivity tracker, implementing frontend, backend, database, authentication, version control, and deployment.
My AI work includes a YOLOv8-based PPE detection smart helmet with IoT integration and GSM emergency alerts, published in IJRASET. I also completed internships focused on full-stack development and machine learning, strengthening teamwork and problem-solving.
I seek roles where I can apply engineering rigor and quick learning to build impactful, user-centered software and safety-focused AI solutions.
Experience
Work history, roles, and key accomplishments
Full Stack Developer Intern
Kodnest
Feb 2025 - Oct 2025 (8 months)
Trained and contributed to full-stack projects using Java and Spring Boot, implementing SQL-based backends and responsive frontends to deliver production-ready features during a 2025 internship.
Full Stack Web Intern
Codtech It Solutions
Jan 2025 - Feb 2025 (1 month)
Engineered responsive web pages and interactive applications using Java, Spring Boot, HTML/CSS and JavaScript while collaborating with mentors to improve code quality.
Machine Learning Intern
Edu Phoenix Solutions
Jun 2024 - Jul 2024 (1 month)
Developed and optimized machine learning models, performing data preprocessing, feature selection, and model evaluation to improve predictive accuracy on real-world datasets.
Education
Degrees, certifications, and relevant coursework
Sreenivasa Institute of Technology Management and Studies
Bachelor of Computer Science, Computer Science
2021 - 2025
Grade: 7.09 CGPA
Pursuing Bachelor of Computer Science with coursework and projects in full-stack development, AI, and web technologies; completed in 2025 with CGPA 7.09.
Sri Chaitanya Junior College
Board of Intermediate, Mathematics, Physics, Chemistry
2019 - 2021
Grade: 764
Completed intermediate (MPC) curriculum focusing on Mathematics, Physics, and Chemistry with a total marks score of 764.
Little Flower English Medium School
Board of Secondary Education, Secondary Education
2018 - 2019
Grade: 9.5
Completed secondary education with a grade of 9.5.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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