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Full-stack Developer with MERN stack expertise and AI applications experience
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Full-stack developer focused on the MERN stack with experience building scalable applications involving authentication, dashboards, semantic search, and component-based UI development. Skilled in React.js, Node.js, Express, MongoDB, and REST APIs with strong understanding of Agile workflows, version control, and cross-browser responsive design.
VNR Vignana Jyothi Institute of Engineering and Technology
B.Tech · Computer Science Engineering (Data Science)
August 1, 2023 – June 30, 2027
NxtWave
Teaching Assistant
March 1, 2024 – June 1, 2024
India
Full-Stack Blogging Platform
June 28, 2026 – Present
Developed blogging features including authentication, search, comments, theming, and reusable UI components. Built Express APIs and MongoDB schemas supporting scalable CRUD operations. Optimized rendering with React hooks and structured state management.
View ProjectAI Document Search Assistant
June 28, 2026 – Present
Built semantic document search system using embeddings and vector search (Qdrant) for fast retrieval. Developed reusable React components with responsive, cross-browser UI. Designed FastAPI backend with optimized search endpoints.
View ProjectAdaptiLearn — AI Exam Prep Platform
June 28, 2026 – Present
Built adaptive testing system with personalized analytics dashboards. Created modular components and integrated REST APIs following Agile workflows. Improved UI performance with optimized state management.
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates initiative and a passion for learning new technologies, including AI/ML concepts (embeddings, vector search). The projects are diverse within the MERN stack, showing adaptability. The Teaching Assistant role indicates a willingness to help others and contribute to a learning environment. However, the lack of team-based project experience or professional roles beyond a short TA position means cultural fit in a corporate team setting is largely unproven.
Soft Skills & Operational Fit
The candidate's experience as a Teaching Assistant suggests good communication and problem-solving skills, as well as an ability to simplify complex concepts and provide guidance. This indicates a potential for strong team collaboration and mentorship in an operational setting. However, the short duration of this role and lack of other professional experience limit the depth of this assessment.