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AI Engineer with less than a year in Generative AI and LLMs.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI/ML Engineer with a strong foundation in Python, Machine Learning, Deep Learning, LLMs, Fine-tuning, and Retrieval-Augmented Generation (RAG). Passionate about building intelligent AI-powered solutions and continuously learning emerging Generative AI technologies to solve real-world problems.
D.L. Patel Institute of Management & Technology
MASTER OF COMPUTER APPLICATION
July 1, 2023 – Present
D.L. Patel Institute of Management & Technology
BACHELOR OF COMPUTER APPLICATION
July 1, 2023 – July 1, 2026
Intelligent AI Learning Assistant
June 24, 2026 – Present
Developed an AI-powered learning assistant using React, FastAPI, and LangChain to answer AI/ML and LLM-related queries. Implemented Retrieval-Augmented Generation (RAG) with FAISS for semantic search and context-aware responses, along with features such as PDF upload, AI note summarization, quiz generation, and interview preparation using Large Language Models (LLMs).
AI PDF Chatbot
June 24, 2026 – Present
Developed an AI-powered PDF chatbot using React, FastAPI, and LangChain for document-based question answering and semantic search. Implemented RAG with FAISS and Hugging Face embeddings to provide contextual responses from uploaded PDFs, along with PDF upload, text extraction, AI summarization, and an interactive chat interface.
Cultural Fit Analysis
The candidate's projects are all personal and focused on AI/ML, indicating a strong passion for the field. The diversity of projects is limited to two similar AI chatbot applications. The lack of professional experience or diverse project types makes it challenging to fully assess cultural fit beyond a strong interest in AI. The candidate is currently pursuing a Master's degree, which suggests a commitment to continuous learning.
Soft Skills & Operational Fit
The candidate's projects demonstrate initiative and a problem-solving mindset, crucial for an AI Engineer role. The focus on learning and building AI-powered solutions indicates a proactive approach. However, without formal work experience or psychometric test results, it's difficult to assess operational fit, teamwork, or stress handling capabilities.