Karan Tiwari is an experienced AI/ML Engineer specializing in Generative AI and machine learning solutions. With a solid background in building and deploying LLM-based applications, he has demonstrated his ability to design and implement scalable AI systems. His proficiency in tools like Azure and Python, combined with his experience in RAG pipelines, positions him as a valuable asset for any team looking to leverage AI technologies.
Built and deployed LLM-based applications using Azure AI services.
Designed RAG pipelines for enterprise use cases across structured and unstructured data.
Implemented monitoring and MLOps practices for reliability in AI solutions.
Collaborated with product and engineering teams to deliver production-ready solutions.
Hands-on production GenAI / RAG + FAISS
Document AI + OCR + Spark SQL exposure
Overview: Developed a scalable system for multi-format document ingestion and semantic search using FAISS. Responsibilities: Built FastAPI-based services to productionize the solution and enabled AI-driven automation for content generation and enterprise knowledge retrieval.
Overview: Extracted structured insights from unstructured documents using OCR and AI services. Responsibilities: Built scalable transformation pipelines using Spark SQL.
Designed a Predictive Inventory Optimization System utilizing ML models for demand forecasting and inventory planning. This system provided actionable insights that improved operational efficiency and decision-making processes within retail logistics.
Karan
AI/ML Engineer