Tripti Kharole
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| Name | Tripti Kharole |
|---|---|
| Role | Software Developer, Full Stack Developer |
| Personal Details | |
| Nationality | Indian |
| Career & Education | |
| Occupation | Software Developer, Full Stack Developer |
| Education | Bachelor of Technology in Information Technology; Diploma in Computer Science Engineering |
| Alma Mater | Shri G. S. Institute of Technology and Science, Indore; Government Polytechnic College, Balaghat |
| Institution | Digital One Box |
| Known For | Full-stack web development, software engineering, REST API development, and work with modern web and machine learning technologies |
| Years Active | 2025–present |
| Recognition & Links | |
Tripti Kharole is an Indian software developer and technology professional specializing in full-stack web development, software engineering, and modern application development. Her technical work includes developing web applications using React.js and Node.js, building REST APIs, implementing authentication systems, and working with databases such as MongoDB.
Kharole's technical background also includes programming and data technologies such as Python, JavaScript, SQL, HTML, and CSS, along with frameworks and libraries including Flask, FastAPI, TensorFlow, scikit-learn, Pandas, and NumPy. Her academic background combines formal education in information technology with earlier training in computer science engineering.
Education
Tripti Kharole pursued a Bachelor of Technology (B.Tech.) in Information Technology at Shri G. S. Institute of Technology and Science (SGSITS), Indore. She attended the program from 2023 to 2026 and completed her studies with a reported cumulative grade point average (CGPA) of 7.0.
Before pursuing her bachelor's degree, Kharole completed a Diploma in Computer Science Engineering at Government Polytechnic College, Balaghat, from 2020 to 2023. She achieved a reported CGPA of 8.4 in the diploma program.
Her academic progression from a diploma in computer science engineering to a bachelor's degree in information technology provided training across programming, software development, databases, web technologies, and related areas of computing.
Professional career
Kharole gained professional experience as a Data Science Intern at Sabudh Foundation. During her internship, she worked with Python-based data science technologies and applied data analysis and machine learning concepts to practical problems.
Her work involved areas such as data preprocessing, exploratory data analysis, machine learning, and data interpretation. The internship provided practical exposure to the data science workflow, including preparing datasets, analyzing data, developing machine-learning models, and evaluating results.
Alongside her data science experience, Kharole has developed skills in full-stack software development. Her technical work includes building web applications using React.js, Node.js, Flask, and FastAPI, as well as developing and integrating REST APIs.
She has also worked with databases including MongoDB and MySQL and has experience implementing authentication and connecting frontend applications with backend services.
Her professional interests combine software engineering, data science, machine learning, and artificial intelligence, with a focus on integrating intelligent systems into practical web applications.
Technical skills
Kharole's technical skills cover programming languages, web technologies, frameworks, databases, and machine learning tools.
Her programming and scripting experience includes:
Her web-development and backend technologies include:
She has also worked with technologies used in data analysis and machine learning, including:
This combination of skills allows her to work across both software-development and data-oriented technology tasks.
Full-stack development
Kharole's primary professional experience is in full-stack development. Full-stack development involves building both the user-facing and server-side components of software applications.
Her experience with React.js provides a foundation for developing interactive frontend interfaces, while Node.js supports server-side application development. Her work with REST APIs enables communication between frontend applications and backend services.
Her experience with MongoDB adds a database component to this technical profile, while JWT authentication provides experience with securing user authentication and authorization flows. These technologies are commonly combined in web application architectures where a frontend communicates with backend services and persistent data storage.
Software engineering approach
Kharole's technology background reflects an emphasis on practical application development. Her academic training in information technology and computer science engineering is complemented by professional experience developing responsive applications.
Her experience spans several layers of the software-development process, including interface development, backend programming, API integration, database management, and authentication. Her knowledge of Python and machine learning libraries also provides exposure to areas beyond conventional web development.
Machine learning and data technologies
In addition to web development, Kharole has technical experience with machine learning and data-processing tools. Her skills include TensorFlow and scikit-learn, two widely used Python-based technologies for machine learning.
She also works with Pandas and NumPy, which are commonly used for numerical computing, data manipulation, and analysis in Python-based workflows.
This combination of software engineering and machine learning technologies provides a foundation for developing applications that incorporate data processing or machine learning functionality.
Career development
Kharole's career development has progressed from formal technical education to professional experience in full-stack software development. Her diploma in computer science engineering established an early foundation in computing, followed by a bachelor's degree in information technology.
Her internship at Digital One Box provided practical exposure to professional software development and allowed her to apply technologies learned through academic and independent technical work to real application-development tasks.
Her current technical profile combines frontend development, backend development, databases, APIs, authentication, programming, and machine learning technologies.
See also
References