Experienced software developer with a strong foundation in full-stack development, specializing in MERN, Angular, and Gatsby. I excel at designing efficient and engaging web applications, optimizing server response times, and implementing scalable solutions. My contributions include: Developing user-centric pages that boosted performance and reduced response time by 10% at Wavel.ai. Leading open-source initiatives, including contributions to Mifos Initiative during Google Summer of Code 2023, focusing on internationalization, microfrontend architecture, and monorepo setups. Publishing research on sentiment analysis for the Hindi language, achieving 82% accuracy using transformer-based models. Proficient in modern technologies like React, Tailwind CSS, and AWS, I thrive in agile environments, ensuring timely delivery of high-quality solutions. My projects, including a robust web crawler and sentiment analysis applications, showcase my versatility and commitment to innovation.…

radhathakare

Experienced software developer with a strong foundation in full-stack development, specializing in MERN, Angular, and Gatsby. I excel at designing efficient and engaging web applications, optimizing server response times, and implementing scalable solutions. My contributions include: Developing user-centric pages that boosted performance and reduced response time by 10% at Wavel.ai. Leading open-source initiatives, including contributions to Mifos Initiative during Google Summer of Code 2023, focusing on internationalization, microfrontend architecture, and monorepo setups. Publishing research on sentiment analysis for the Hindi language, achieving 82% accuracy using transformer-based models. Proficient in modern technologies like React, Tailwind CSS, and AWS, I thrive in agile environments, ensuring timely delivery of high-quality solutions. My projects, including a robust web crawler and sentiment analysis applications, showcase my versatility and commitment to innovation.…

Available to hire

Experienced software developer with a strong foundation in full-stack development, specializing in MERN, Angular, and Gatsby. I excel at designing efficient and engaging web applications, optimizing server response times, and implementing scalable solutions. My contributions include:

Developing user-centric pages that boosted performance and reduced response time by 10% at Wavel.ai.
Leading open-source initiatives, including contributions to Mifos Initiative during Google Summer of Code 2023, focusing on internationalization, microfrontend architecture, and monorepo setups.
Publishing research on sentiment analysis for the Hindi language, achieving 82% accuracy using transformer-based models.
Proficient in modern technologies like React, Tailwind CSS, and AWS, I thrive in agile environments, ensuring timely delivery of high-quality solutions. My projects, including a robust web crawler and sentiment analysis applications, showcase my versatility and commitment to innovation.

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Skills

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Experience Level

CSS
Expert
Github
Expert
HTML5
Expert
MySQL
Expert
PHP
Expert
React JS
Expert
Tailwind
Expert
Node.js
Expert
Microsoft SQL
Expert
AngularJS
Expert
Laravel
Expert
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Language

English
Fluent

Education

Bachelor of Technology at VIT
August 17, 2019 - May 30, 2023

Qualifications

Computer Engineering
August 17, 2019 - May 30, 2023

Industry Experience

Software & Internet
    uniE613 Mifos Initiative (Open source Project Google Summer of Code)
    Technologies Used: Angular, Java, Docker, Micro-Frontend Architecture Description: Contributed to the Mifos Initiative, an open-source project for microfinance institutions, by enhancing website scalability and collaboration. Key Features: Migrated the project to a monorepo architecture for improved development efficiency. Implemented micro-frontends to modularize and streamline collaboration. Added internationalization support, making the platform accessible to a global audience. Outcome: Successfully delivered the project and mentored students, highlighting leadership skills and proficiency in full-stack development.…
    uniE613 Sentiment Analysis for Hindi Language
    Technologies Used: Python, NLP, Transformers, Microsoft Multilingual-MiniLM-L12-H384 Description: Developed a machine learning-based solution for sentiment analysis in the Hindi language. The project evaluates various pre-trained transformer models to determine their accuracy, precision, recall, and F1-score. Key Features: Explored and fine-tuned multiple pre-trained transformer models for Hindi text analysis. Achieved the highest accuracy of 82% using the Microsoft Multilingual-MiniLM-L12-H384 model. Conducted extensive evaluation to compare performance metrics across different models. Outcome: Published a research paper in IEEE showcasing the findings. The project is a significant contribution to Natural Language Processing (NLP) for low-resource languages.…
    uniE613 TRF Club Official Website
    Technologies Used: MERN Stack (React.js, Node.js, MongoDB, Express.js), React Hooks Description: Designed and developed a responsive portfolio website for the TRF Club. Focused on providing an intuitive and engaging user interface while managing back-end integrations seamlessly. Key Features: Developed the front-end using React.js with React Hooks for state management. Integrated APIs for dynamic content updates and database operations using Node.js and MongoDB. Implemented a mobile-first design for optimal performance across devices. Outcome: The website showcases the TRF Club’s achievements and activities while serving as a central hub for event updates and resources. Demonstrates expertise in full-stack development.…

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