Software Development Engineer with less than a year in Programming & Networking
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Enthusiastic and dedicated MCA student eager to launch a successful career in the IT industry. Passionate about applying strong technical skills in programming, networking, and software development to design and deliver innovative, efficient, and reliable solutions. Possesses a solid academic foundation, excellent problem-solving abilities, and a collaborative mindset. Highly motivated to contribute to organizational success while continuously learning, adapting, and advancing within a dynamic, growth-oriented environment.
St.Aloysius (DeemedtobeUniversity)
Master of Computer Applications (MCA) · IT
August 1, 2024 – June 30, 2026
Rosary College of Commerce and Arts
Bachelor of Computer Applications (BCA) · Computer Applications
August 1, 2021 – June 30, 2024
Rosary Higher Secondary School
Commerce Stream · Commerce
June 1, 2019 – May 31, 2021
National Union of Seafarers of India (NUSI) Maritime Academy
IT & Network Support Intern
December 1, 2025 – May 31, 2026
Madgaon, Goa, India
Genora Infotech
Intern
January 1, 2025 – May 31, 2025
Ponda, Goa, India
Live Bitcoin Price Predictor: Dual-Model ML Forecasting
August 1, 2024 – February 28, 2025
Built a live Bitcoin price predictor with FastAPI and scikit-learn that forecasts historical, current, and future prices using a dual-model approach (feature-rich regressor for in-range dates, recursive forecaster for out-of-range). Engineered lags, moving averages, and volatility features, unified heterogeneous CSV datasets, and integrated CoinGecko for 15-minute updates with auto-retraining, delivered via an interactive UI with insights.
FiberRouteTracker: A Web and Mobile-Based Fiber Network Management System
June 1, 2024 – Present
This project aims to develop a fiber route tracking and customer management system that allows ISPs to map, monitor, and manage fiber connections efficiently using interactive maps and offline functionality. The project is currently under development, with core modules like route visualization and technician syncing still in progress.
Audio Deepfake Detector
March 1, 2024 – September 30, 2024
Developed an interactive web application that detects AI-generated (synthetic) audio using a trained deep learning model. The system enables users to upload audio files (WAV, MP3, OGG) via a modern drag-and-drop interface, sends them to a backend inference API for classification, and visually presents real-time detection results with confidence scores.
Integration of IoT, Edge Computing, and Machine Learning for Intelligent Bike Tracking Systems
January 1, 2024 – December 31, 2024
This project develops an IoT-based bike tracking and anti-theft system using Arduino, GPS, and GSM modules to monitor a bike's real-time location. It allows users to track and control their bikes remotely through a web application, enhancing security and convenience.
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in IoT, machine learning, and web/mobile development, indicating a broad technical curiosity. Participation in technical leadership roles and competitive events suggests a proactive and collaborative mindset. The target role of Software Development Engineer aligns well with the candidate's stated career objective and project experience. The breadth of skills across programming languages, web technologies, and databases indicates adaptability and a willingness to learn new tools, which are positive indicators for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate demonstrates good soft skills such as effective communication, team collaboration, analytical thinking, adaptability, and time management, as listed in the resume. The psychometric test score of 243/500 suggests potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration, which would require further investigation. The English test score of 68/100 indicates adequate communication clarity for technical roles, but there might be room for improvement in professional language usage.