Khushee Kumari

AI/ML Engineer with experience building AI/ML applications — LLM chatbots, RAG pipelines, IoT systems, and computer vision models. Delivered measurable results across projects and internships. Microsoft Azure AI-900 certified · 4× IBM AI/Data certified.

AI Engineer - C2C Advanced Systems - Bengaluru

(2026-04)

• Developed and deployed LLM-powered chatbots using LangChain, FAISS, and Pinecone with RAG pipeline, reducing hallucination rate on domain knowledge bases
• Built NLP pipelines for tokenization, text classification, and NER using spaCy and NLTK, reducing manual data-processing effort by ~40%
• Trained and fine-tuned CNN, RNN, and Transformer models for classification; managed experiment lifecycle via Git
• Implemented GenAI automation workflows integrating AI agents with business systems to reduce manual effort

Python & Full-Stack Intern - Pyspiders - Bengaluru

(2025-02 - 2025-07)

• Built 3+ web applications using Flask/Django and React.js; REST API optimisation achieved ~30% faster page loads
• Implemented secure authentication, session management, and CRUD with MySQL in MVC architecture
• Collaborated in 6-member Agile team with 2-week sprints, JIRA, and peer code reviews

Web Development Intern - STPI – Software Technology Parks of India - Bengaluru

(2024-10 - 2024-12)

• Built IoT Smart Warehouse Monitoring System using RFID sensors, C++ backend, and real-time JS dashboard, improving operational efficiency by ~25%
• Implemented automated threshold-based alerts, eliminating manual monitoring and enabling proactive anomaly detection

Web Developer Intern - Amossys Consulting Services - Bengaluru

(2023-10 - 2023-11)

• Developed responsive web UIs using HTML5, CSS3, and JavaScript with REST API integration

B.Tech - Computer Science Engineering - T John Institute of Technology, VTU (2021-12 - 2025-05)