Vivek Tiwari

AI Application Engineer (GenAI & Agents) at Zof AI Inc

Architected and deployed production-ready agentic systems using LangGraph and LangChain, orchestrating multi-agent QA automation workflows; reduced manual testing hours by 75% and monthly operational costs by $85K. Implemented robust LLMOps pipelines with AWS CodeBuild, ECR, and Docker for containerization and CI/CD deployment of GenAI services with 99.5% system uptime. Designed intelligent tool-calling mechanisms within AI agents, integrating human-in-the-loop feedback to improve decision accuracy by 30% and accelerate client adoption of generative AI solutions.

Machine Learning Engineer (RAG Systems) at Indiana University Bloomington

Built scalable Retrieval Augmented Generation (RAG) architectures using vector stores (Pinecone) and LLMs to optimize context retrieval for 12,000+ patient queries annually. Developed data ingestion and ETL patterns to populate knowledge bases from unstructured medical text, reducing hallucination rates and ensuring high-fidelity responses for clinical decision support. Integrated GenAI scripts with AWS to serve real-time predictions, optimizing latency by 50% and adding $60K in operational value through improved system reliability.

Data Scientist at Indiana University Bloomington

Engineered distributed data pipelines using Spark to clean and transform 1.2M+ documents, creating a structured knowledge base for downstream NLP and classification tasks. Collaborated with cross-functional teams to operationalize ML models, designing interactive dashboards that translated complex model evaluations into actionable business insights. Implemented automated data quality checks within the ingestion pipeline, ensuring 99% data integrity and streamlining the training process for large-scale document analysis models.