Fullstack Engineer with less than a year in Python, FastAPI, React & AI/ML 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
Recent Computer Science graduate with hands-on experience building AI-powered web applications using Python, FastAPI, React, and PostgreSQL. I specialize in automating data workflows, including a production-ready CRM that transforms natural language inputs into structured datasets. I bring a strong background in REST API architecture, database integration, and deploying scalable web solutions.
Jayamukhi Institute of Technological Sciences
Bachelor of Technology · Computer Science Engineering (AI & ML)
August 1, 2022 – May 1, 2026
AI-Powered CRM (HCP Interaction Logger)
January 1, 2026 – June 1, 2026
Developed a full-stack AI-powered CRM assistant for logging Healthcare Professional (HCP) interactions using natural language input. Implemented a workflow to extract structured data (name, topic, sentiment, date/time) from user input. Designed REST APIs using FastAPI and integrated PostgreSQL for data storage. Built a dashboard to visualize interaction history and sentiment insights. Deployed the application for real-time usage.
View ProjectCareer Co-Pilot - Full-Stack Career Recommendation Platform
January 1, 2026 – June 1, 2026
Developed a full-stack application to generate personalized career recommendations based on user input. Implemented secure authentication using JWT and bcrypt. Designed REST APIs for managing recommendation logic and user data. Deployed frontend on Vercel and backend on Render.
View ProjectTurtle Chef - AI-Powered Recipe Generator
January 1, 2026 – June 1, 2026
Built a responsive React application that generates recipes on demand using the Gemini AI API. Managed asynchronous API calls with proper loading states and error handling for improved user experience. Leveraged React state management and conditional rendering to enhance interactivity.
View ProjectThe candidate scored 76% on the 'Junior Python Developer' test, indicating a solid understanding of Python 3.x and Regular Expressions, which are core components of the assessment.
Strengths
Limitations
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in AI/ML and full-stack development, aligning well with a 'Fullstack Engineer' role, especially one involving AI integration. The diversity of projects (CRM, career platform, recipe generator) shows initiative and a broad application of skills. However, the candidate is still pursuing a Bachelor's degree and lacks professional work experience, which might impact immediate cultural integration into a senior-level team without mentorship.
Soft Skills & Operational Fit
The psychometric test score is low (170/500), which may indicate potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration. However, the project descriptions suggest a proactive and self-driven individual capable of independent project execution and deployment. Further assessment would be needed to fully understand the implications of the psychometric score.