Software Engineer with less than a year in full-stack web development and data analytics.
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Assessing your cultural and operational fit
Computer Science graduate with hands-on experience in full-stack web development, data analytics, and real-world project deployment. Built scalable applications including an e-commerce platform, a gym management website for a local business, and a weather prediction analytics project. Strong foundation in data structures, algorithms, and problem solving with practical experience in backend development, REST APIs, and database management. Passionate about writing clean, efficient code and continuously learning modern technologies to build impactful software solutions.
Sri Ramachandra Institute of Engineering and Technology
B.TECH · Computer Science Engineering With Specialization In Artificial Intelligence and Data Analytics
August 1, 2021 – June 30, 2025
TechnoShrine InfoSolutions
Software Engineer Trainee
October 1, 2025 – December 31, 2025
India
Data Pattern
Data Scraping and Script Automation
April 1, 2025 – June 30, 2025
India
Realtime Website for Local Gym
June 28, 2026 – Present
Developed a real-time, responsive website for a local gym to create an engaging user interface to improve the digital presence of the gym and improve user convenience. Integrated Firebase for real-time database management, enabling features like user sign-up/login, Membership Payments, BMI calculator and instant content updates.
Identification of Dysgraphia in student using Handwriting Image Classification and Explainable AI
June 28, 2026 – Present
Built a handwriting image classification system using Handcrafted features block, ML algorithms such as Random Forest, DL such as CNN, Tensorflow, Keras, Explainable AI such as SHAP and Grad-Cam and Streamlit for the front-end interface. Aimed to assist early detection of Dysgraphia in students, enabling timely support and intervention through accessible, interpretable, and easy-to-use AI tools.
Beefast - E-Commerce website
June 28, 2026 – Present
Built a fully responsive front-end e-commerce application from scratch. Designed reusable UI components for product cards, navigation, and cart layout. Implemented interactive features such as product filtering, add-to-cart, and dynamic UI updates using JavaScript. Followed front-end best practices for responsive design, accessibility, and performance.
Cultural Fit Analysis
The candidate's academic background in Computer Science with a specialization in AI and Data Analytics, coupled with diverse projects (web development, e-commerce, AI/ML), indicates a broad interest in technology and a willingness to explore different domains. This diversity suggests a good cultural fit for an organization that values continuous learning and cross-functional skills. The focus on impactful solutions (e.g., Dysgraphia detection) also aligns with a problem-solving oriented culture. However, the lack of professional experience beyond internships means cultural fit is primarily inferred from academic and project work.
Soft Skills & Operational Fit
The candidate's profile and project descriptions suggest a proactive approach to learning and problem-solving. The academic projects demonstrate an ability to work on diverse technical challenges, indicating adaptability. The internships, though short-term, show exposure to real-world deployment and data handling, which are positive for operational fit. However, the experience level is very low (0 years), which might require significant mentorship and ramp-up time for a senior role.