
Building real-world GenAI applications | RAG | LLM Systems | Python | FastAPI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
LegalMind-RAG-legal-contract-query-system-
May 12, 2026 – Present
AI-powered legal contract query system
View ProjectCustomer_Analysis
April 20, 2026 – Present
GenAI-powered customer response intelligence dashboard built with FastAPI, React, and ML models. Predicts campaign response, explains drivers, and generates actionable insights using Hugging Face. Features interactive analytics, what-if simulation, and a premium 3D UI.
View ProjectCold_email_generator
April 19, 2026 – Present
AI-powered cold email generator that scrapes job postings from any careers page, extracts role details using LLaMA 3.3 via Groq, retrieves relevant portfolio links from a ChromaDB vector store, and auto-generates personalized outreach emails — built with LangChain and Streamlit.
View ProjectQA-bot
April 14, 2026 – Present
This is a Retrieval-Augmented Generation (RAG) application that lets you upload documents and ask questions about them in natural language. Instead of relying solely on an LLM's training data, it retrieves relevant content directly from your documents and feeds it to Claude to generate accurate, grounded answers.
View ProjectCultural Fit Analysis
The candidate's projects are all personal and heavily focused on Generative AI and Machine Learning, which aligns well with a Data Scientist role, especially one with an AI/ML focus. The diversity of applications (email generation, legal, customer analysis) shows a broad interest in applying AI. However, the lack of team projects, professional experience, or educational background makes it challenging to fully assess cultural fit regarding collaboration, mentorship, or adaptability within a structured organizational environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong focus on practical application and problem-solving. The nature of the projects suggests an ability to work on complex, multi-faceted AI solutions. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.