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Vishwani Bodapatla

@vishwanibodapatla

AI/ML Engineer at Entrivis Technologies building local LLM tutoring and RAG pipelines with improved retrieval accuracy.

At Entrivis Technologies Inc, I built an LLM tutoring pipeline using local and open-source models and MCP server patterns, improving retrieval grounding accuracy by 18%. I also developed a RAG pipeline with vLLM and Ollama that reduced answer leakage by 25%.

Previously, I automated intake workflows and built semantic search over 500+ documents at Chicago Education Advocacy Cooperative (ChiEAC). At KPMG, India, I engineered Python ML pipelines and forecasting models; at KPIT, India, I developed ETL pipelines and reporting dashboards. I hold AWS Certified Data Engineer – Associate and AWS Certified Cloud Practitioner certifications.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Engineer - Intern

Current

Entrivis Technologies Inc

Jun 2026 - Present (4 months)

Built an LLM tutoring pipeline using local/open-source LLMs and MCP server patterns, improving retrieval grounding accuracy by 18%. Developed a RAG pipeline with vector databases using vLLM and Ollama, reducing answer leakage by 25%.

LLM MCP RAG Vector Databases VLLM Ollama LangGraph Pydantic Python Linux

AI/ML Engineer

Chicago Education Advocacy Cooperative (ChiEAC)

Jul 2025 - May 2026 (10 months)

Automated intake call workflows using Python and REST APIs, reducing volunteer workload by 70%. Implemented RAG pipelines and vector databases for semantic search over 500+ documents, improving retrieval accuracy by 35%.

Python REST APIs RAG Vector Databases Power BI Docker Local LLMs Command Line Diagnostics

Associate Consultant – ML and Data Engineer

KPMG

Feb 2021 - Jul 2023 (2 years 5 months)

Engineered end-to-end ML pipelines in Python using AWS SageMaker, reducing training time by 20%. Built time-series forecasting models with XGBoost, improving forecast accuracy by 22%.

Python AWS Sagemaker XGBoost Kafka Spark Docker MLFlow PCA Lasso

ML Engineer

KPIT

Jan 2020 - Jan 2021 (1 year)

Developed ETL pipelines using Python and SQL, increasing data training throughput by 60%. Built Power BI dashboards and optimized SQL queries, reducing manual data handling time by 40%.

Python SQL ETL Matplotlib SeaBorn Power BI REST APIs