Aditya Adiga K User
@adityaadigakuser
Aspiring software engineer skilled in Python, MERN, and NLP.
What I'm looking for
I am an aspiring software engineer with a Bachelor in Computer Science & Engineering, focused on building practical web and data-driven solutions. I have completed internships developing a movie recommendation system using Python and sentiment analysis and a full-stack MERN food-delivery application, demonstrating end-to-end development, authentication, and deployment skills.
I bring hands-on experience with NLP, Power BI analyses, and model-based projects like deepfake detection, and I am eager to contribute to innovative teams where I can learn, collaborate, and grow professionally.
Experience
Work history, roles, and key accomplishments
Web Development Intern
WebStackAcademy
Built a full-stack food delivery web application using the MERN stack, implementing user authentication and both front-end and back-end functionality during a 2-month remote internship.
Software Engineering Intern
Alnitek Solutions Pvt Ltd
Developed a Python-based movie recommendation system using sentiment analysis, improving recommendation relevance through NLP techniques during a 2-month remote internship.
Education
Degrees, certifications, and relevant coursework
Sapthagiri College of Engineering
Bachelor of Engineering, Computer Science & Engineering
Grade: 7.6 CGPA
Activities and societies: Participated in hackathons and technical events; completed internships and projects in NLP and MERN stack.
Bachelor in Engineering (Computer Science & Engineering) completed with a 7.6 CGPA; coursework and projects focused on software development and machine learning applications.
KMWAPU College
Pre-university, PCMB (Physics, Chemistry, Mathematics, Biology)
Grade: 80.11%
Pre-university education in PCMB (Physics, Chemistry, Mathematics, Biology) with a final mark of 80.11%.
Jindal Public School
SSLC, Secondary Education
Grade: 92%
Secondary school education completed under the Karnataka Secondary Education Examination with a mark of 92%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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