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AI Engineer with less than a year in Cloud & DevOps
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated aspiring Full Stack & AI Engineer with a strong academic background in Cloud Computing and Automation. Proven ability to architect and develop scalable full-stack applications, implement AI/ML models for intelligent solutions, and orchestrate containerized deployments using modern DevOps practices. Eager to apply technical skills in Java, Python, JavaScript, React.js, Node.js, AWS, and Kubernetes to drive innovative projects and contribute to dynamic teams.
VIT Bhopal University
B.Tech · Computer Science Engineering (Cloud Computing and Automation)
N/A – June 30, 2026
SkillSync: AI-powered Partner Matching Platform
January 1, 2025 – May 1, 2025
Engineered an AI matchmaking engine that parsed and vectorized 20+ profiles from GitHub and resumes to quantify technical skills, successfully matching over 30 users with 85 percent compatibility rating. Orchestrated a fully containerized deployment on AWS EKS using Kubernetes, establishing a CI/CD pipeline that reduced deployment times by 60 percent and ensured high availability with 99.9 percent uptime. Implemented a dynamic feedback loop using a Bayesian model to refine user scores post-collaboration, creating an adaptive matching ecosystem that improved accuracy by 23 percent over time.
MockVerse: Mock Interview Platform
January 1, 2025 – May 1, 2025
Architected a full-stack AI platform designed for scalable, real-time interview simulations, with sub-300ms API response times using microservices architecture. Created a dynamic interview engine leveraging Google's Gemini LLM with advanced prompt engineering to generate context-aware, role-specific questions achieving 94 percent user satisfaction rate. Forged a bidirectional audio stream integrating browser-native Web Speech API for real-time STT and TTS, enabling fully conversational experience with 94 percent transcription accuracy. Crafted a feedback generation service that processes interview transcripts via an LLM to provide structured, actionable analytics, with session data persisted in a PostgreSQL database.
Carpool: Seamless Car-Sharing And Rental Solutions
January 1, 2024 – October 1, 2024
Architected and led the full-stack development of a comprehensive ride-booking and rental platform, focusing on optimizing user experience (UX) across all critical functionalities, from search to transaction processing. Streamlined backend microservices and data pipelines to facilitate efficient deployment, ensure high scalability, and significantly enhance system performance for anticipated user growth and engagement metrics. Engineered a highly intuitive and fully responsive front-end interface, leveraging modern web development paradigms to maximize user accessibility and engagement across diverse device form factors.
Cultural Fit Analysis
The candidate's academic projects show a diverse range of applications, from partner matching to interview simulations and car-sharing, indicating adaptability and a broad interest in problem-solving. Their involvement in clubs and community service (NSS) suggests a collaborative spirit and a willingness to contribute beyond technical tasks. The target role of 'AI Engineer' aligns well with the AI-centric projects, demonstrating a clear career interest. However, the lack of professional experience means cultural fit in a corporate environment is yet to be fully tested.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and leadership through co-curricular and extra-curricular activities (Mozilla Firefox Club, BashCraft Club). Their project descriptions indicate an ability to work on complex, multi-faceted problems and deliver functional solutions. The focus on user satisfaction and system performance in projects suggests a results-oriented approach. However, without direct work experience, the operational fit in a professional team setting requires further validation.