Shraddha Rangari

AI/ML Engineer with production experience in machine learning, predictive modeling, Generative AI, LLM integration, and Agentic AI systems. Deployed end-to-end ML pipelines on real enterprise ERP datasets achieving 98% accuracy. Skilled in RAG systems, voice-controlled AI, robotics integration, and scalable backend APIs. Strong DSA foundation with 90+ LeetCode problems solved. Targeting AI/ML Engineer, Data Scientist, and Generative AI Engineer roles.

AI/ML Engineer Intern - Primine Software Pvt. Ltd. - Nagpur, India

(2025-11)

• Designed and deployed an ML classification model achieving 98% accuracy for supply chain distribution delay prediction, optimizing enterprise scheduling decisions
• Engineered end-to-end ML pipelines — data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment on structured ERP datasets using Scikit-learn and Pandas
• Architected Agentic AI workflows autonomously orchestrating multi-step ERP operations (query → predict → summarize → act), eliminating high-volume manual tasks
• Integrated offline LLM (Ollama) with custom prompt engineering for secure on-premise NL querying; built FastAPI backend with SQL and MongoDB for real-time inference serving

Full Stack Software Engineer Intern - Acmegrade - Nagpur, India

(2024-03 - 2024-06)

• Built production-grade web applications using React, Node.js, Express.js, and MongoDB; designed RESTful APIs and optimized database schemas for performance and scalability
• Reduced feature defect rate through structured unit testing, debugging workflows, and peer code review

Bachelor of Technology - Computer Engineering - Smt. Radhikatai Pandav College of Engineering, RTMNU (2021-08 - 2025-08)