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Full Stack Engineer with less than a year in MERN, Spring Boot & AI integration.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Full Stack Developer (B.Tech CSE, 2026) with hands-on experience building scalable MERN stack applications and RESTful backend systems. Proficient in Node.js, React.js, and Spring Boot microservices, with demonstrated ability to optimize system performance and integrate AI capabilities via OpenAI APIs. Adept at Agile development, debugging complex systems, and delivering production-grade solutions with measurable impact.
Galgotias University
Bachelor of Technology · Computer Science and Engineering
August 1, 2022 – June 1, 2026
The Skybrisk
Web Developer Intern
September 1, 2025 – March 1, 2026
India
Skillflow
June 1, 2026 – Present
Integrated OpenAI API to deliver personalized AI-powered course recommendations, increasing user engagement by 45% and session retention by 30%. Implemented JWT-based authentication and role-based access control (RBAC) for secure multi-role user management (Admin, Instructor, Student). Optimized MongoDB aggregation pipelines and introduced server-side caching, reducing average API response time by 40% under peak load conditions.
View ProjectMonitorX
June 1, 2026 – Present
Architected a real-time API monitoring platform using Spring Boot microservices capable of ingesting and processing 25,000+ log entries per minute with sub-second latency. Designed an alerting and anomaly-detection pipeline that reduced mean time to incident detection (MTTD) by 70%, enabling proactive system reliability management. Containerized all microservices using Docker and configured CI/CD pipelines, cutting deployment time by 50% and ensuring consistent environment parity across stages.
View ProjectCloud Foundations
AWS Academy Graduate - Amazon Web Services
June 1, 2026 – Present
Java Full Stack Development
Wipro TalentNext Program
June 1, 2026 – Present
AI-Powered Application Development
OpenAI (Prompt Engineering & API Integration)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong inclination towards building impactful, scalable, and secure applications, aligning well with a product-focused engineering culture. The diversity in technologies (MERN, Spring Boot, AI integration) and project types (e-learning platform, monitoring system) suggests a willingness to learn and adapt, which is beneficial for dynamic environments. The proactive approach to system reliability and performance optimization indicates a strong sense of ownership and commitment to quality. The candidate's education and certifications also show a continuous learning mindset.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a results-driven approach with measurable impacts (e.g., 45% increased user engagement, 70% reduced MTTD). Participation in Agile sprints and code reviews indicates a collaborative mindset and adaptability to team environments. The focus on optimizing performance and ensuring system reliability suggests a proactive and problem-solving attitude. However, without direct interview data, a deeper assessment of communication and interpersonal skills is limited.