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Generative AI Engineer with less than a year in LLMs & RAG applications
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 and Data Science professional with strong expertise in Generative AI, Large Language Models (LLMs), and RAG applications. Experienced in developing intelligent conversational agents and automated screening systems using Python and cloud tools. Passionate about building highly efficient, explainable, and ethically aligned AI solutions to solve real-world automation challenges.
Institute of Information and Communication Technology | MGM University
Bachelor of Technology · Data Science
August 1, 2023 – Present
MGM Polytechnic College | MGM University
Diploma · Civil
August 1, 2020 – June 30, 2023
SUREPRO
Generative AI Intern
January 1, 2026 – Present
India
RAG Chatbot PDF Query Assistant
June 24, 2026 – Present
Developed an intelligent Retrieval-Augmented Generation (RAG) assistant allowing users to interact with and query complex PDF documents. Integrated large language models for contextual response generation and built an intuitive user interface using Streamlit. Implemented document chunking and vector embeddings for efficient and accurate information retrieval.
View ProjectAutonomous AI Agent
June 24, 2026 – Present
Built autonomous AI agents capable of reasoning, breaking down complex tasks, and performing multi-step workflows. Engineered robust prompt structures to guide the AI's decision-making process and minimize hallucinations. Integrated external APIs allowing the agent to retrieve live information and perform automated actions on the user's behalf.
View ProjectResumeParserAI
June 24, 2026 – Present
Created an NLP-based parsing tool to automatically extract structured data (skills, experience, education) from diverse resume formats. Utilized state-of-the-art transformer models to enhance keyword detection and entity recognition capabilities. Designed a scalable architecture allowing batch processing of documents for rapid HR screening.
View ProjectPiezoelectric Footstep Energy Generation
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects are diverse within the Generative AI domain, covering RAG, NLP parsing, and autonomous agents, which aligns well with an innovative and exploratory culture. The ongoing internship and personal projects demonstrate a proactive learning attitude. However, the lack of team-based projects or explicit collaboration experience in the resume makes it difficult to fully assess cultural fit beyond individual drive.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to break down complex tasks and integrate various technologies, suggesting good problem-solving and technical integration skills. The focus on building autonomous agents and scalable architectures points to an understanding of operational considerations. However, without direct assessment, communication and collaboration skills are inferred from project descriptions.