Nitesh sharma
Java Backend developerMirai School Of Technology
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science undergraduate with hands-on experience in Java, Python, React.js, FastAPI, and MongoDB. Completed internships in Software Engineering and Agentic AI, building REST APIs, automation workflows, and AI-powered applications. Passionate about full-stack development, problem-solving, and creating scalable software solutions.
Vivekananda Global University, Jaipur
B.Tech · Computer Science and Engineering
June 17, 2022 – June 29, 2026
Mirai School Of Technology
Software Engineering Intern
June 11, 2025 – August 20, 2025
Patna, Bihar, India
MediFlow AI – Full Stack Healthcare Management Platform
June 12, 2025 – August 4, 2026
Developed a full-stack healthcare management platform using React.js and FastAPI. Implemented secure user authentication, REST APIs, and MongoDB Atlas integration. Deployed the application on Vercel with a scalable architecture and user-friendly interface.
View ProjectIBM SkillsBuild – AI Project Trainee Certification
Organization: IBM SkillsBuild (CSRBOX)
June 6, 2025 – June 9, 2025
Cultural Fit Analysis
The candidate's project diversity, including a healthcare platform and an AI assistant, shows initiative and a willingness to explore different domains. The academic background and internship experience align with an entry-level or junior role in a tech-driven environment. The target role of 'Java Backend developer' is partially aligned with the candidate's stated skills and project work, but more dedicated Java experience would strengthen the fit.
Soft Skills & Operational Fit
The candidate demonstrates an interest in AI and full-stack development, indicating adaptability. Project descriptions suggest an ability to work on diverse tasks. However, the short duration of internships and academic status limit the assessment of operational fit and collaboration in a professional setting.