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AI Engineer with less than a year in NLP, LLMs & RAG pipelines
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Assessing your cultural and operational fit
AI Engineer with strong fundamentals in Python, machine learning, and deep learning, experienced in building intelligent applications using NLP, LLMs, and Retrieval-Augmented Generation (RAG) pipelines. Skilled in developing AI-powered systems, integrating APIs, and working with vector databases and transformer models. Hands-on experience in designing scalable AI solutions for real-world applications. Focused on building efficient, production-ready intelligent systems.
Velammal Institute of Technology
B.Tech · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
ADR Matriculation Higher Secondary School
HSC
June 1, 2020 – May 31, 2021
ADR Matriculation Higher Secondary School
SSLC
June 1, 2018 – May 31, 2019
OneTuza
AI Software Developer Intern
November 1, 2025 – December 1, 2025
India
EcoFriend - AI for Sustainable Living
June 1, 2026 – Present
Developed an AI-powered application using RAG and LLMs to generate personalized eco-friendly recommendations; Implemented carbon footprint tracking and NLP pipelines for user behavior analysis and insights; Leveraged transformer-based models and embeddings for semantic understanding and information retrieval; Built and deployed using Python, Streamlit, LangChain, Mistral 7B, HuggingFace Transformers
Multi Document Research Agent
June 1, 2026 – Present
Developed an AI-based system to analyze PDFs and web data using RAG architecture; Implemented FAISS vector search for efficient top-k semantic retrieval and document ranking; Generated structured research reports with citations using LLM-based summarization; Built using Python, LangChain, FAISS, OpenAI API, Sentence Transformers
Google Data Analytics Specialization
United Latino Students Association (Coursera)
June 1, 2026 – Present
Microsoft Professional Program in AI
Product School
June 1, 2026 – Present
Power BI Certification
Aynavil Technologies Pvt Ltd
June 1, 2026 – Present
MERN Stack Certification
MongoDB
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects (EcoFriend, Multi Document Research Agent) show initiative and a problem-solving mindset, which aligns well with an innovative culture. The diverse certifications, including MERN stack, indicate a broad interest in technology beyond core AI, suggesting adaptability. However, the limited professional experience (one short internship) means there's insufficient data to fully assess cultural fit in a team or corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end AI application development, from conceptualization to deployment. The focus on 'production-ready intelligent systems' suggests an understanding of operational aspects, though direct experience in a production environment is limited due to their intern status. The detailed project descriptions imply good communication of technical work.