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Full Stack Engineer with 2+ years in Python, Django, React, and AI/ML development.
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Assessing your cultural and operational fit
Highly motivated Integrated Dual Degree student specializing in Computer Science and Engineering & Artificial Intelligence. Possesses strong skills in Python, Django, React.js, and AI/ML technologies. Proven ability to develop secure backend systems, AI-powered applications, and comprehensive management platforms. Eager to apply technical expertise and problem-solving abilities to innovative projects.
Rajiv Gandhi Institute of Petroleum Technology
B.Tech. (CSE)
August 1, 2022 – June 30, 2027
Delhi Public School Newtown (ICSE Board)
Secondary
N/A – May 31, 2019
Bodhicariya Senior Secondary School (CBSE Board)
Senior Secondary
N/A – May 31, 2021
Patient Similarity Search – AI-Powered Medical Case Analysis
June 1, 2025 – August 1, 2025
NLP based system identifying patients with similar medical histories from 13K+ records. Used TF-IDF and Cosine Similarity to match patients by diagnosis and treatment, processing 13K+ entries in seconds. Built and deployed interactive Streamlit app with search, analytics, and data insights – optimized via caching.
View ProjectApexPay Core - Secure Payment & Transaction API
January 1, 2025 – March 1, 2025
Developed a secure and scalable backend system for financial transactions and account management. Engineered RESTful APIs for core banking, user auth, profile, and transaction operations with token-based security. Implemented email verification, password reset, and admin panel for seamless data control and scalability.
View ProjectHostelX RGIPT – Smart Hostel Management System
January 1, 2025 – June 1, 2026
Created a hostel system automating room allocation, complaint handling, and leave management efficiently. Developed a role-based authentication system using JWT and integrated GraphQL to optimize data retrieval efficiency. Engineered an automated room allocation algorithm using constraint-based optimization to maximize hostel occupancy. Deployed serverless functions with AWS Lambda and implemented Firebase push notifications for real-time updates.
View ProjectCultural Fit Analysis
The candidate's academic projects demonstrate initiative and a proactive approach to learning and applying new technologies. The diversity of projects (payment systems, AI/NLP, hostel management) suggests a broad interest and willingness to tackle different problem domains, which aligns well with dynamic team environments. Participation in extracurricular activities and achievements like NASA Space Apps Challenge indicate a collaborative spirit and drive for excellence.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse projects, suggesting adaptability. Involvement in student chapters and social councils points to teamwork and leadership potential. However, without specific psychometric or English test scores, a detailed assessment of communication, logical reasoning, work attitude, and stress handling is not possible.