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Software Engineer with 2+ years in Full-stack Web Development & AI/ML
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Assessing your cultural and operational fit
Computer Science graduate (CGPA 8.8) with hands-on experience in full-stack web development, REST API integration, machine learning, and AI-powered application development. Built production-grade projects using Python, Flask, React.js, and JavaScript. Completed internship with real SAP integration and three industry simulations (Accenture, Tata, Agile). Eager to contribute impactful, data-driven solutions in an agile environment as an entry-level Software Developer or Data Analyst.
Vinayaka Mission's Kirupananda Variyar Engineering College
B.E. · Computer Science & Engineering
August 1, 2022 – June 30, 2026
Sri Vidya Mandir Higher Secondary School, Salem
HSC
June 1, 2021 – May 31, 2022
Sri Vidya Mandir Higher Secondary School, Salem
SSLC
June 1, 2019 – May 31, 2020
NoblQ Private Limited
REST API & SAP Integration Intern
January 1, 2024 – Present
Salem, Tamil Nadu, India
AI-Powered Finance Management System
June 1, 2023 – December 31, 2023
Developed a full-stack AI-driven finance analytics web app using Python and Flask with RESTful API endpoints for data ingestion, retrieval, and real-time dashboard updates. Automated expense categorization using NLP and rule-based classification, significantly reducing manual data-entry effort. Integrated predictive analytics and trend forecasting; visualized spending patterns using Pandas, NumPy, and Matplotlib. Designed responsive frontend (HTML5, CSS3, JavaScript) for seamless cross-device user experience.
Sales Order Management API
January 1, 2023 – May 31, 2023
Built a web-based sales order creation and management module integrated with SAP ERP, supporting full CRUD operations (GET, POST, PUT, DELETE). Implemented client-side input validation and comprehensive HTTP error handling (200, 400, 404, 500 response codes). Designed dynamic, responsive frontend using Vanilla JavaScript for real-time form handling and data rendering.
Residential Property Valuation ML Model
September 1, 2022 – December 31, 2022
Built a supervised ML house price prediction model; performed data preprocessing, feature engineering, and EDA on real estate dataset. Evaluated model accuracy using R-squared, MAE, and RMSE; visualized correlation matrices and feature importance.
Cafe Menu Card Management System
May 1, 2022 – August 31, 2022
Developed a console-based menu management system with full CRUD functionality and persistent file I/O storage. Applied dynamic memory allocation, pointer-based data structures, and structured programming principles.
GreenSkill & Artificial Intelligence Foundation
Edunet Foundation
January 1, 2025 – Present
Introduction to MongoDB Atlas
MongoDB
November 1, 2024 – Present
Machine Learning Onramp
MathWorks
October 1, 2024 – Present
Python for Data Science
Infosys
July 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from web development to machine learning and data analytics, indicates a broad interest and adaptability, which aligns well with dynamic team environments. Their participation in virtual job simulations from companies like Accenture and Tata Group, along with competitive programming achievements, suggests a proactive, growth-oriented mindset. The target role of 'Software Engineer' aligns with their full-stack and API integration experience, while their data science projects also make them a potential fit for roles with analytical components.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, analytical thinking, and team collaboration skills through project descriptions and internship experience. Their involvement in virtual job simulations for data analytics and agile methodologies suggests an understanding of operational workflows and a proactive approach to professional development. The candidate's quick learning ability is also highlighted.