AI/ML Enthusiast | Learning by doing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
student-management-fastapi
May 10, 2026 – Present
student-management-fastapi — GitHub repository
View Projectrag-tutorial
March 29, 2026 – Present
Learning RAG (Retrieval-Augmented Generation) from scratch using LangChain — document loading, chunking, embeddings, vector stores, and retrieval.
View ProjectMindBloom
March 27, 2026 – Present
AI-powered mental wellness tracker with mood analytics, journaling, and relaxation tools built using React, FastAPI, and MongoDB
View Projectbrain-tumor-mri-classifier
March 20, 2026 – Present
Deep learning-based MRI classification system that detects and categorizes brain tumors into four classes using Xception transfer learning, with a Streamlit web app for real-time predictions.
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong personal drive and interest in learning new technologies, particularly in the AI/ML domain. The diversity of projects, from DSA to full-stack AI applications, suggests a proactive and curious individual. However, without professional experience or team-based projects, it is difficult to fully assess cultural fit in a collaborative work environment. The focus on personal GitHub repositories is positive for self-driven learning.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear but do not provide insights into collaboration, problem-solving approaches, or communication style.