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B.Tech CSE | Backend & AI/ML Developer Building RAG systems, ML apps, and production-ready projects C++ • Python • MERN • Streamlit • SQL Learning
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Assessing your cultural and operational fit
Web-Smith
April 21, 2026 – Present
This project is a mini clone of Lovable, an AI tool that generates web apps from natural language prompts. Built with FastAPI and OpenAI API, it uses agents to plan, generate, and debug code. It also leverages RAG with FAISS to improve outputs, automating the process of building and running applications.
View Projectdomain-intelligence-system
January 8, 2026 – Present
domain-intelligence-system — GitHub repository
View ProjectLegal_Doc_Summarizer
December 27, 2025 – Present
Backend pipeline for legal document summarization using LLMs and retrieval-ready architecture.
View ProjectDoc-Summarizer-RAG
August 1, 2025 – December 2, 2025
Doc Summarizer RAG is an intelligent document understanding tool that uses Retrieval-Augmented Generation (RAG) to generate accurate, context-aware summaries from PDFs, DOCX, and text files.
View ProjectBreast-Cancer-Prediction
March 29, 2025 – March 29, 2025
Breast-Cancer-Prediction — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards AI/ML and backend development with Python. While there are some frontend technologies listed in a few projects, the overall focus does not strongly align with a dedicated 'Frontend Developer' role. The diversity of project topics (AI, summarization, web apps) indicates a broad interest, but a lack of specific frontend-focused projects might suggest a weaker cultural fit for a specialized frontend team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no psychometric test results or interview notes.