
Fullstack Engineer with less than a year in React, Python & AI
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Assessing your cultural and operational fit
Innovative and results-driven Computer Science graduate passionate about designing, developing, and deploying scalable software solutions. Seeking to contribute by leveraging skills in Java, C++, Python, React, and database management to build reliable, efficient, and AI-driven applications in collaborative, Agile-driven environments.
SRM University
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Narayana Educational Institute
Intermediate
June 1, 2020 – May 31, 2022
Bhashyam
Class X
June 1, 2020 – May 31, 2020
SRM University, AP
Machine Learning Research Intern
August 1, 2024 – December 1, 2024
Andhra Pradesh, India
Edunet Foundation
Frontend Intern
June 1, 2024 – August 1, 2024
India
Bus Ticket Booking System
June 1, 2026 – Present
Developed a full-stack Bus Ticket Booking System using MERN stack with JWT-based authentication and role-based access control. Designed, developed, tested, and debugged RESTful APIs for booking, user management, and seat allocation. Built responsive UI using React.js with dynamic seat selection and real-time updates. Integrated MongoDB for efficient data storage; tested all REST APIs via Postman.
AI-Powered Credit Risk Intelligence Platform
June 1, 2026 – Present
Built an end-to-end credit risk platform integrating ML prediction, Explainable AI (SHAP), and an NL-to-SQL chatbot using LangChain and Groq's LLaMA3-70B. Implemented SMOTE for class imbalance handling; evaluated model using ROC-AUC, F1-Score, and Precision-Recall metrics. Engineered schema-aware prompts with hallucination safeguards; containerized the full application using Docker.
Amazon web Services (AWS)
Unknown
June 1, 2026 – Present
Frontend Development
Edunet Foundation
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong inclination towards both full-stack development and AI/ML, demonstrating versatility and a willingness to explore diverse technical domains. The personal projects are substantial and well-described, indicating initiative and a passion for building. The target role of 'Fullstack Engineer' aligns well with the MERN stack project, while the AI project showcases a broader technical curiosity. The breadth of skills and project diversity suggest a candidate who is adaptable and eager to learn, which generally contributes positively to cultural fit in dynamic tech environments.
Soft Skills & Operational Fit
The candidate's resume highlights 'Collaboration, Problem-Solving, Communication' as soft skills. Project descriptions indicate an ability to work on end-to-end solutions and integrate various technologies, suggesting a proactive and problem-solving approach. The mention of Agile/Scrum in concepts also points to an understanding of modern development methodologies, which aligns with operational fit in a collaborative environment.