ML/DL enthusiast || NLP || GenAI || RAG
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
rag-knowledge-base
June 20, 2026 – Present
Built an end-to-end Retrieval-Augmented Generation (RAG) system for semantic document search and question answering using LangChain, ChromaDB, Hugging Face, and Streamlit.
View Projectplant-disease-predictor
June 14, 2026 – Present
🌱 Deep learning-powered plant disease classifier built with TensorFlow, Keras, and Streamlit for accurate leaf disease detection.
View Projectpytorch
June 14, 2026 – Present
Learning pytorch and implementing algorithms using it for my better understanding.
View Projectsimple-conversational-agent
June 3, 2026 – Present
Conversational AI agent built with LangChain and Hugging Face featuring session-based memory and context-aware chat history.
View ProjectReal-Time-Currency-Converter
May 31, 2026 – Present
Built a real-time currency conversion application using live exchange rate APIs integrated with LLM tool binding to provide accurate conversions through natural language interactions.
View ProjectSEO-Optimizer
September 16, 2025 – Present
🚀 Automated SEO auditing tool using Python, Playwright, and web scraping to analyze websites and generate actionable SEO insights.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, indicating self-motivation and a passion for learning and applying new technologies in the AI/ML domain. The diversity of projects, from web scraping for SEO to deep learning for plant disease detection and RAG systems, suggests a broad interest within data science. However, the lack of team-based or collaborative projects makes it difficult to assess cultural fit in a team-oriented environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a proactive approach to learning and applying new technologies, which is a positive indicator for operational fit in a dynamic environment.