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AI Engineer with less than a year in Generative AI & 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 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
Bachelor of Technology · Data Science
August 1, 2023 – Present
MGM Polytechnic College
Diploma · Civil
August 1, 2020 – June 30, 2023
SUREPRO
Generative AI Intern
January 1, 2026 – Present
India
RAG Chatbot PDF Query Assistant
June 1, 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 1, 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 1, 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 AI domain, covering RAG, NLP parsing, and autonomous agents, indicating a broad interest and willingness to explore different facets of AI. The internship and personal projects align well with an AI Engineer role, demonstrating initiative and a passion for the field. The publication on Piezoelectric Footstep Energy Generation, while not directly AI-related, shows an interest in innovation and problem-solving. However, the experience level is very junior, which might require significant mentorship and integration into a senior team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to break down complex problems (e.g., multi-step workflows for AI agents) and a focus on practical application. The internship description highlights hands-on experience and project-based development, suggesting a proactive and results-oriented approach. However, without direct assessment data, specific soft skills like teamwork, leadership, or stress handling cannot be definitively evaluated.