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Assessing your cultural and operational fit
AI Engineer with 1+ years in Software Development & Machine Learning
Driven and detail-oriented Computer Science graduate specializing in software development, system architecture, and intelligent technology integration. Experienced in designing innovative solutions across cybersecurity, artificial intelligence, IoT, and database management. Proficient in Python, Java, C++, HTML, CSS, JavaScript, AngularJS, Node.js, and MySQL, with a solid grounding in Data Structures, Algorithms, and Mathematics, enabling the creation of efficient and scalable systems. Beyond coding, I excel in technical documentation (MS Office), video editing, and graphic design, blending technical depth with creative communication. Passionate about leveraging technology to solve real-world challenges through innovation, collaboration, and continuous learning.
Rajarajeswari College Of Engineering
Bachelor of Engineering (B.E.) · Computer Science
December 12, 2021 – June 30, 2025
Public School English Medium, Bijbehara
Higher Secondary Education (12th) · Science
June 1, 2019 – May 31, 2021
Public School English Medium, Bijbehara
Secondary Education (10th)
June 1, 2016 – May 31, 2018
Visvesvaraya Technological University (VTU) Online
Web Development and React with Python
February 1, 2025 – April 1, 2025
India
Rooman Technologies
AI / Machine Learning Engineer
September 1, 2024 – February 1, 2025
India
Enthu Technology Solutions India Pvt. Ltd.
IIoT using LoRaWAN Technology
August 1, 2023 – September 1, 2023
India
WOMEN SAFETY SYSTEM USING IOT
June 18, 2026 – Present
Created a real-time IoT-based safety solution with GPS and sensors for emergency alert and tracking. Automated alerts and location sharing during emergency situations. Added mobile notifications and SMS alerts for faster response. Integrated panic button and real-time tracking for enhanced security.
APPLE MANAGEMENT SYSTEM (DBMS PROJECT)
June 18, 2026 – Present
Developed a database system to manage apple production, logistics, and inventory, ensuring efficient operations. Optimized inventory tracking, quality control, and supplier data management. Automated reporting for harvest and storage efficiency. Integrated role-based access control to ensure secure operations.
A MULTI-ALGORITHMIC APPROACH FOR PHISHING DETECTION
June 18, 2026 – Present
Used TF-IDF Vectorization with SVM, Gradient Boosting, and Random Forest to build a high-accuracy phishing detection system. Achieved high accuracy in identifying malicious URLs, emails, and website content. Implemented feature selection techniques to improve model performance and reduce computation time. Developed a user-friendly interface to allow non-technical users to test URLs for phishing threats.
REAL-TIME LANGUAGE TRANSLATION USING NMT
June 18, 2026 – Present
Built an AI-powered translation system using Neural Machine Translation (NMT) and attention mechanisms. Enabled context-aware translations for smooth communication across languages. Optimized inference speed for near-instant translations in live applications. Designed a simple GUI to allow users to input text or speech for translation.
SMART DUSTBIN USING IOT
June 18, 2026 – Present
Developed an IoT-enabled smart bin using sensors and microcontrollers for automated waste monitoring. Automated data transmission to a central monitoring platform. Implemented notifications to sanitation staff for timely collection.
HOUSE PRICE PREDICTION MODEL
June 18, 2026 – Present
Designed a machine learning model for real estate price prediction using regression and data analysis. Performed exploratory data analysis (EDA) to identify significant patterns. Implemented cross-validation to improve model reliability. Visualized key predictors using graphs and heatmaps for better interpretability.
NUMBER PLATE DETECTION USING OPENCV
June 18, 2026 – Present
Created a computer vision solution using OpenCV for automatic license plate recognition. Used edge detection, contour analysis, and character segmentation. Integrated real-time video processing for live monitoring scenarios. Added a database to store recognized plates for future reference and reporting.
STUDENT MANAGEMENT SYSTEM (DBMS PROJECT)
June 18, 2026 – Present
Built a DBMS-based academic record system for managing student data, attendance, and performance. Added data backup and recovery features to prevent data loss. Implemented search and filter options to easily access student information.
Data Structures in C
Unknown
June 1, 2026 – Present
PHP and MySQL: Build Complete Tours and Travel Website
Unknown
June 1, 2026 – Present
OOPs in Java
Unknown
June 1, 2026 – Present
C++ and PHP Complete Course
Unknown
June 1, 2026 – Present
Front End Development
Unknown
June 1, 2026 – Present
Data Science Foundations
Unknown
June 1, 2026 – Present
Back End Development
Unknown
June 1, 2026 – Present
Java Programming
Unknown
June 1, 2026 – Present
Java Basic Programs
Unknown
June 1, 2026 – Present
Network Security
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a broad interest in various technical domains including cybersecurity, AI, IoT, and database management. This diversity suggests an adaptable mindset and a willingness to explore different areas, which can be a positive for cultural fit in a dynamic environment. The target role of 'AI Engineer' aligns well with several of their projects and their AI/ML internship. The candidate is currently pursuing a Bachelor's degree, indicating a foundational stage in their career. Their involvement in multiple academic projects and internships suggests proactivity and a desire for practical application of knowledge. However, without more information on their collaborative experiences or preferred work environment, a comprehensive cultural fit assessment is limited.
Soft Skills & Operational Fit
The candidate's resume highlights a 'driven and detail-oriented' approach and a passion for 'leveraging technology to solve real-world challenges through innovation, collaboration, and continuous learning.' These traits suggest a positive work attitude and a willingness to learn, which are beneficial for operational fit. The project descriptions indicate an ability to develop user-friendly interfaces, implying an understanding of end-user needs. However, without specific psychometric test results or interview data, a deeper assessment of stress handling, team collaboration, and communication clarity in a professional setting is not possible.