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Software Engineer with 1+ years in AI-powered full-stack and mobile application development.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer experienced in building scalable AI-powered, full-stack, and mobile applications using modern backend architectures, Linux-based systems, and LLM-driven workflows. Experienced with React.js, Node.js, Python, Android development, and AI integrations including RAG pipelines, vector search, and prompt orchestration. Focused on developing production-ready systems with strong problem-solving and software engineering fundamentals.
Chandigarh University
Master of Computer Applications (MCA)
August 1, 2024 – June 30, 2026
IGNOU
Bachelor of Computer Applications (BCA)
August 1, 2021 – June 30, 2024
AI Resume Interviewer Platform
April 1, 2026 – May 1, 2026
Implemented RAG pipeline with vector embeddings and semantic search to generate role-specific interview questions using LLM APIs. Built Node.js REST APIs with JWT authentication and MongoDB integration for structured AI interview workflows. Developed React.js frontend with resume upload, real-time AI response rendering, and adaptive interview flows.
View ProjectNetSentinel – Network Intrusion Detection System
January 1, 2026 – March 1, 2026
Built a Linux-based packet capture system in Python to monitor live traffic and trigger rule-based intrusion alerts. Engineered a log analysis pipeline for near real-time event processing with automated anomaly detection workflows. Developed a React.js dashboard for live traffic visualization, alert history, and threat monitoring.
View ProjectFlipLearn - Cross-Platform Learning App
September 1, 2025 – November 1, 2025
Built a cross-platform Flutter app with Firebase Auth and Firestore supporting offline-first synchronization. Designed a gamified quiz engine with dynamic content loading and user progress tracking. Structured the app using modular Flutter architecture separating UI, state, and data layers.
ESquare - Trivia Android App (Google Play Published)
January 1, 2024 – May 1, 2024
Shipped a production Android trivia app on Google Play under professional engagement with Netrom Services India Pvt. Ltd. Integrated Firebase Realtime Database for live quiz delivery, score tracking, and leaderboard updates. Applied Android lifecycle management and background synchronization for stable cross-device performance.
Android Mobile App Development
Coursera
June 1, 2026 – Present
ReactJS
Infosys Springboard
June 1, 2026 – Present
Front-End Apps with React
Coursera
June 1, 2026 – Present
Java Basic
HackerRank
June 1, 2026 – Present
AWS Academy Graduate - Generative AI Foundations
AWS Academy
June 1, 2026 – Present
Prompt Engineering with GPT
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong inclination towards learning and applying new technologies, as evidenced by diverse projects and certifications in AI, mobile, and web development. The personal projects show initiative and self-direction. The professional project (ESquare) indicates an ability to deliver production-ready applications. This aligns well with a culture that values innovation, continuous learning, and practical application of skills. The breadth of skills and project types suggests a versatile individual who can contribute to various aspects of software development.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted systems, suggesting good problem-solving and project management skills. The diversity of projects (AI, network security, mobile apps) implies adaptability and a proactive learning attitude. However, without direct work experience, operational fit regarding team collaboration and handling workplace dynamics is difficult to assess.