Rachana G Raikar

Software Engineer

Karnataka, India1 yr 3 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Proficient in full-stack development and AI technologies.
  • Developed scalable web applications using modern frameworks.
  • Hands-on experience with real-world software engineering practices.
Stackforce AI infers this person is a Full-Stack Developer with a focus on AI and web technologies.

Contact

Skills

Core Skills

JavaFull-stack DevelopmentArtificial Intelligence (ai)

Other Skills

Java Database Connectivity (JDBC)Spring BootReactJSMySQLPyTorchData AnalysisModel EvaluationJavaScriptHTML5Front-End DevelopmentWeb DesignCore JavaJavaServer Pages (JSP)MavenRESTful API

About

Software Engineer with a strong foundation in full-stack development and AI. Completed Java Full Stack training and proficient in Java, C, ReactJS, Python, HTML, CSS, JavaScript, SQL, DBMS, JDBC, Git, and AI technologies. Passionate about building scalable web applications and continuously learning new technologies to drive innovation.

Experience

1 yr 3 mos
Total Experience
1 yr 3 mos
Average Tenure
1 yr 3 mos
Current Experience

Paychex

2 roles

Software Engineer 1

May 2026Present · 1 mo

Software Engineer Trainee

Mar 2025May 2026 · 1 yr 2 mos

X-workz odc

Software Engineer Intern

Jul 2023Sep 2024 · 1 yr 2 mos · Bengaluru, Karnataka, India · On-site

  • As a Software Engineer Intern, the role involved hands-on development and contributing to software projects. The internship provided exposure to various software engineering practices, including coding, debugging, and testing, with a focus on real-world applications. The tasks included collaborating with senior developers to build, maintain, and improve software systems while ensuring efficiency and scalability.
JavaJava Database Connectivity (JDBC)

Excelr

Full Stack Java Developer Trainee

Mar 2023Nov 2023 · 8 mos · Bengaluru, Karnataka, India · Remote

  • As a Java Full Stack Development trainee at ExcelR, the project focused on building a blog application. The project involved both front-end and back-end development, utilizing technologies like ReactJS for the front-end and Spring Boot for the back-end. The application allowed users to create, edit, and view blog posts, with a MySQL database used to store the data.
JavaSpring BootFull-Stack Development

Ekathva innovations

Artifical Intelligence Intern

Aug 2022Sep 2022 · 1 mo · Shivamogga, Karnataka, India · Remote

  • During the internship at Ekathva Innovations, the focus was on implementing an Artificial Intelligence project titled Air Quality Prediction using CNN. The project involved applying deep learning techniques, particularly Convolutional Neural Networks (CNN), to predict air quality levels based on various environmental and atmospheric data. This process required data collection, preprocessing, model building, and evaluation stages, emphasizing the accuracy and efficiency of the model in real-time prediction scenarios.
Artificial Intelligence (AI)PyTorch

Education

Jawaharlal Nehru National College of Engineering

Bachelor of Engineering - BE — Computer Science

Aug 2019Aug 2023

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