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AI Engineer with less than a year in RAG and LLM applications.
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An enthusiastic AI/ML Developer passionate about solving real-world problems with code. Possesses a strong foundation in Retrieval Augmented Generation (RAG), LLM Applications, and Python, with practical experience in developing production-grade FastAPI services and fine-tuning open-source LLMs. Demonstrates expertise in building multi-tenant AI assistants and agentic e-commerce solutions.
LJIET
Bachelor of Engineering · AI & ML
August 1, 2024 – June 30, 2028
DAV International School
12th · PCM
N/A – Present
Moon Finance
AI and ML Intern
May 1, 2025 – December 31, 2025
Bengaluru, Karnataka, India
PolicyBot - Multi-Tenant RAG Policy Assistant
June 8, 2026 – February 1, 2026
Built a production-deployed multi-tenant AI policy assistant using Retrieval-Augmented Generation (RAG) over custom document knowledge bases. Designed document ingestion, chunking, and embedding pipeline with Pinecone vector database for scalable semantic retrieval. Implemented hybrid LLM setup using Ollama APIs and privacy-preserving local embedding models, with optional cloud embeddings for non-sensitive use cases. Developed secure REST APIs with FastAPI and implemented JWT-based authentication and per-chatbot access control. Built React chat interface integrated with backend APIs; improved answer grounding and currently citation tracing.
RAG-based PDF Chatbot
June 8, 2026 – August 1, 2025
Built a local RAG chatbot to interact with PDFs ensuring complete data privacy. Used LangChain and Ollama's LLaMA 3.1 for offline LLM inference. Implemented semantic search with Nomic-Embed-Text and reranking for accurate context retrieval.
AI-eCommerce-Chat-Assistance
June 8, 2026 – November 1, 2025
Built a multi-agent agentic RAG eCommerce assistant supporting retrieval, reasoning, and product-level tool calling. Integrated LlamaIndex with locally served Mistral model via Ollama for context-aware responses. Applied prompt engineering and evaluation strategies to improve RAG answer quality and agent reliability. Developed an interactive Streamlit UI for testing and user interaction.
View ProjectAI Research & News Summarizer
June 8, 2026 – September 1, 2025
Created a Flask app to summarize live news and research papers using Google GenAI. Fetched data from Google News and arXiv via custom scraping modules. Added email delivery and deployed the app on Render with a responsive frontend.
Test AI
June 8, 2026 – July 1, 2025
Developed a web app to generate test cases from SRS docs using Gemini API. Integrated Google Auth and enabled CSV export for QA teams. Managed solo project using Git and GitHub for version control.
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a strong passion for AI/ML and a drive to solve real-world problems, which aligns well with an innovative and problem-solving culture. The diversity of projects, from multi-tenant RAG systems to agentic assistants and summarizers, indicates a broad interest and willingness to explore different facets of AI engineering. The focus on privacy-preserving solutions also suggests an awareness of ethical considerations in AI. However, the lack of team-based project experience makes it difficult to fully assess collaboration and interpersonal skills.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative through numerous personal projects, indicating self-motivation and a proactive approach to learning and application. The project descriptions suggest an ability to work independently and manage project lifecycles. However, with limited professional experience, the candidate's operational fit in a team environment and under corporate pressures is yet to be fully validated.