(April 2023 - Present)
Freelance
Contract Based.
constcoder={name:'Mahesh ',skills:['HTML', 'CSS', 'React', 'NextJS', 'Java', 'Express', 'Spring Boot', 'MySql', 'MongoDB', 'CI/CD', 'Docker', 'AWS', 'Data structures and Algorithms'],hardWorker:true,quickLearner:true,problemSolver:true,hireable:function() {return(this.hardWorker&&this.problemSolver&&this.skills.length>=5);};};ABOUT ME
Who I am?
My name is Mahesh SP. I am a professional and enthusiastic programmer in my daily life. I am a quick learner with a self-learning attitude. I love to learn and explore new technologies and am passionate about problem-solving. I love almost all the stacks of web application development and love to make the web more open to the world. My core skill is based on TypeScript and Java. I love to do most of the things using both of them. I am available for any kind of job opportunity that suits my skills and interests.
Experiences
(Sept 22 - March 23)
Software Engineer I
Apptio,IBM company
(March 22 - Aug 22)
Software Engineer Intern
Apptio,IBM company
Skills
PROJECTS
Campus-Buzz
constproject={name:'Campus-Buzz',tools: ['Next.js', 'TypeScript', 'Prisma', 'Neontech PostgreSQL', 'nextAuth', 'Tailwind CSS],myRole:Full Stack Developer,Description: Developed a feature-rich Full-Stack social media platform using Next.js, TypeScript, and a modern tech stack. Designed and implemented core features such as post creation, commenting, and image/video uploads. Designed a scalable and efficient monorepo-based application: Implemented a Prisma-based backend with a Neontech PostgreSQL database for handling CRUD operations related to posts, feeds, and communities. Prioritized core functionality while adhering to best practices for securing API routes, handled authentication/authorization using nextAuth (Gmail sign-in), and optimized database queries for performance.,};NetflixGpt-4
constproject={name:'NetflixGpt-4',tools: ['React.js', 'Tailwind CSS', 'Redux Toolkit', 'Firebase Authentication', 'TMDB API', 'OpenAI API],myRole:Frontend Developer,Description: Developed a user-friendly movie exploration platform using React.js, Tailwind CSS, Redux Toolkit, Firebase Authentication, TMDB API, OpenAI API, and memoization techniques. Leveraged the power of OpenAI’s GPT-3.5 API to integrate natural language movie search capabilities into the TMDB API, enhancing user experience by enabling intuitive and conversational movie searches.,};Urban Sound Classification
constproject={name:'Urban Sound Classification',tools: ['Python', 'TensorFlow', 'MFCC', 'ANN', 'Cross-Validation', 'IEEE],myRole:Researcher,Description: Developed a model using Artificial Neural Networks (ANN) and used Mel-Frequency Cepstral Coefficients (MFCC) feature extraction technique, achieving an accuracy of 87% on the Urban Sound 8k dataset. Evaluated the model’s performance using multiple metrics, including 10-fold cross-validation classification accuracy, precision, recall, F1-score, and confusion matrix. This work led to a research paper published by IEEE.,};Education
Bachelor Degree (IT)
RV College of Engineering
8.57gpa
12th CBSE Board
Sainik School Bijapur
92.4%