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Full Stack Engineer with less than a year in MERN Stack & Machine Learning
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Assessing your cultural and operational fit
Actively pursuing a Bachelor of Technology at the Indian Institute of Technology, Roorkee. Demonstrates strong skills in full-stack development with MERN stack, having built and optimized web applications serving 500+ users. Experienced in implementing real-time communication features, database optimization, and responsive frontend development. Also possesses a solid foundation in Machine Learning, applying models for link prediction in social networks, alongside extensive competitive programming experience.
Indian Institute of Technology, Roorkee
Bachelor of Technology
August 1, 2022 – June 30, 2026
Raizzify
Full Stack Developer
June 1, 2025 – July 1, 2025
India
Social Network Graph Link Prediction
July 1, 2025 – July 1, 2025
Designed and implemented ML models (Logistic Regression, Random Forest, XGBoost) to predict 10,000+ potential links in a social network dataset. Achieved high prediction performance with AUC score 0.89, significantly improving link prediction accuracy over baseline models. Reduced false positives by 15% and improved data-driven insights enhancing user connection recommendations.
Collaborative Whiteboard with Real-Time Drawing
January 1, 2025 – February 1, 2025
Built a real-time collaborative whiteboard application enabling multiple users to draw and paint simultaneously on a shared canvas. Implemented real-time synchronization using WebSockets (Socket.IO) with room-based collaboration. Demonstrated strong skills in JavaScript, Canvas API, Node.js, and event-driven systems. Built using JavaScript, Canvas API, Node.js, and Express.
Cultural Fit Analysis
The candidate's involvement in competitive programming and diverse personal projects (full-stack web, machine learning) indicates a proactive and self-driven individual. The internship experience at Raizzify, a startup, suggests adaptability and a willingness to contribute to a dynamic environment. The breadth of technical skills (C++, Java, Python, JavaScript, various web frameworks, ML libraries) points to a curious and continuous learner. However, the limited professional experience (one short internship) means there's less data to assess long-term team collaboration or cultural alignment within a larger organizational structure.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experience highlight an ability to work on complex features (real-time communication, performance optimization) and deliver measurable results (increased user engagement, reduced latency). The competitive programming background suggests a strong drive for problem-solving and continuous improvement, which are valuable traits for operational fit. However, without direct interview data, specific soft skills like teamwork, leadership, or conflict resolution cannot be fully assessed.