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AI Engineer with 1+ years in Data Science & Generative AI.
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Assessing your cultural and operational fit
Aspiring Software Engineer and AI Enthusiast with a Bachelor’s degree in Information Technology (2025). Skilled in Python, SQL, Data Analytics, Machine Learning, Deep Learning, and Generative AI, with hands-on experience in building AI-powered and data-driven applications. Proficient in Streamlit, LangChain, Power BI, and data visualization, with strong analytical, problem-solving, and communication skills.
CVR College of Engineering
Bachelor of Engineering · Information Technology
August 1, 2021 – June 30, 2025
ExcelR
Data Science and Generative AI Intern
January 1, 2025 – Present
India
Sentiment Analysis using Hugging Face Transformers | Python, Hugging Face, Transformers, NLP
January 1, 2025 – June 1, 2026
Developed a sentiment analysis application using Hugging Face Transformers and the SST-2 dataset to classify text as positive or negative. Utilized pretrained transformer models and NLP techniques to perform automated sentiment prediction with confidence scores. Implemented dataset loading, text processing, and sentiment inference using Python and Hugging Face libraries.
Conversational RAG PDF Chatbot | LangChain, ChromaDB, HuggingFace, Groq, Streamlit
January 1, 2025 – June 1, 2026
Developed a conversational RAG-based PDF chatbot using LangChain and Groq LLM APIs for context-aware question answering. Implemented PDF ingestion, semantic chunking, vector embeddings, and semantic retrieval using HuggingFace embeddings and ChromaDB. Built history-aware conversational memory for multi-turn interactions and improved contextual response generation.
LeetCode SQL Badge
LeetCode
June 1, 2026 – Present
Data Science & Generative AI Internship Program – ExcelR
ExcelR
June 1, 2026 – Present
Introduction to Generative AI – Google Cloud & Simplilearn Skillup
Google Cloud & Simplilearn
October 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects and internship align well with an AI Engineer role, showcasing a genuine interest and practical application in the field. The diversity of projects (RAG chatbot, sentiment analysis) indicates a broad interest within AI. The ongoing internship and certifications demonstrate a proactive approach to learning and professional development, which is a positive cultural fit for a growth-oriented environment.
Soft Skills & Operational Fit
The candidate's profile highlights strong analytical, problem-solving, and communication skills. Collaboration with mentors during the internship suggests an ability to work in a team and adapt to feedback. The project descriptions are clear and demonstrate an understanding of the implemented solutions.