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Fullstack Engineer with less than a year in AI/ML & Microservices Development
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
CS undergraduate (CGPA 9.37) specializing in full-stack & microservices development — Java, Spring Boot, React.js, and Python. Google AI-ML Intern (AICTE-verified). National Hackathon Runner-Up — top 2 in India.
K L University
B.Tech · Computer Science & Engineering | Specialization: AI & Computational Thinking
August 1, 2023 – May 1, 2027
Google for Developers
AI-ML Virtual Intern
April 1, 2025 – June 1, 2025
India
MediSlot Healthcare Appointment System
January 1, 2025 – March 1, 2025
• Architected 4-service Spring Boot microservices backend with unified API gateway, deployed via Docker & Kubernetes with automated CI/CD pipelines via GitHub Actions, supporting scheduling for 500+ appointments • Secured all API endpoints with JSON Web Token (JWT), Spring Security & Role-Based Access Control (RBAC), enforcing zero-trust access control • Built real-time bidirectional communication via WebSocket, delivering live updates with sub-100ms latency • Integrated Redis distributed caching, reducing DB query load by 35% and improving API response time by 40%
Kisan Vishwa Agricultural E-Commerce Platform
August 1, 2024 – November 1, 2024
• Built full-stack e-commerce platform using Django + React.js, serving 50+ farmers and 500+ consumers • Integrated Generative AI (LLM) chatbot via Google Gemini API, boosting satisfaction scores by 42% • Implemented fintech-grade Razorpay payment gateway with webhook integration, processing 120+ transactions at 99.8% uptime - directly applicable to financial services infrastructure • Designed 15+ RESTful API endpoints with Django REST Framework; enforced rate throttling, input validation & OAuth 2.0 reducing unauthorized access attempts by 90%
Spring Framework Specialization
Coursera
June 1, 2026 – Present
Meta Front-End Developer Professional Certificate
Meta (Coursera)
June 1, 2026 – Present
Microsoft Certified: Azure Fundamentals (AZ-900) ☑
Microsoft
August 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including healthcare, e-commerce, and AI/ML, demonstrates adaptability and a broad interest in different problem domains. Participation in a national hackathon and an AI-ML internship at Google for Developers indicates a drive for innovation and a collaborative spirit, which are positive indicators for cultural fit in a dynamic engineering environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong ability to work in teams (Smart India Hackathon) and deliver complex features. The detailed descriptions of technical implementations suggest good communication of technical concepts. The academic background and project diversity align with a proactive and learning-oriented individual.