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I am Venkatesh Gunji, a Lead Data Scientist specializing in Generative AI and LLM engineering with 12+ years of experience building and deploying enterprise AI systems. I design scalable data and AI architectures, lead cross-functional teams, and translate complex business problems into data-driven solutions that streamline operations and decision-making. My work spans predictive modeling, NLP, retrieval-augmented generation, agentic AI, and end-to-end MLOps across Azure, AWS, and GCP. I enjoy turning ambitious ideas into reliable, observable production systems that scale and deliver measurable business impact.…I am Venkatesh Gunji, a Lead Data Scientist specializing in Generative AI and LLM engineering with 12+ years of experience building and deploying enterprise AI systems. I design scalable data and AI architectures, lead cross-functional teams, and translate complex business problems into data-driven solutions that streamline operations and decision-making. My work spans predictive modeling, NLP, retrieval-augmented generation, agentic AI, and end-to-end MLOps across Azure, AWS, and GCP. I enjoy turning ambitious ideas into reliable, observable production systems that scale and deliver measurable business impact.

Venkatesh Gunji

Data Scientist, AI Engineer, Full Stack Developer, +2

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I am Venkatesh Gunji, a Lead Data Scientist specializing in Generative AI and LLM engineering with 12+ years of experience building and deploying enterprise AI systems. I design scalable data and AI architectures, lead cross-functional teams, and translate complex business problems into data-driven solutions that streamline operations and decision-making. My work spans predictive modeling, NLP, retrieval-augmented generation, agentic AI, and end-to-end MLOps across Azure, AWS, and GCP. I enjoy turning ambitious ideas into reliable, observable production systems that scale and deliver measurable business impact.…I am Venkatesh Gunji, a Lead Data Scientist specializing in Generative AI and LLM engineering with 12+ years of experience building and deploying enterprise AI systems. I design scalable data and AI architectures, lead cross-functional teams, and translate complex business problems into data-driven solutions that streamline operations and decision-making. My work spans predictive modeling, NLP, retrieval-augmented generation, agentic AI, and end-to-end MLOps across Azure, AWS, and GCP. I enjoy turning ambitious ideas into reliable, observable production systems that scale and deliver measurable business impact.

Available to hire

I am Venkatesh Gunji, a Lead Data Scientist specializing in Generative AI and LLM engineering with 12+ years of experience building and deploying enterprise AI systems. I design scalable data and AI architectures, lead cross-functional teams, and translate complex business problems into data-driven solutions that streamline operations and decision-making.

My work spans predictive modeling, NLP, retrieval-augmented generation, agentic AI, and end-to-end MLOps across Azure, AWS, and GCP. I enjoy turning ambitious ideas into reliable, observable production systems that scale and deliver measurable business impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Lead Data Scientist — Generative AI/LLM Engineer at BNY

June 1, 2023 - Present

Led the architecture and deployment of an enterprise Generative AI platform on Azure for document intelligence and knowledge search across 10M+ enterprise records, reducing manual research time by 40%. Implemented Retrieval-Augmented Generation (RAG) pipelines with Azure OpenAI and vector embeddings to boost information retrieval accuracy by 35%. Designed scalable document-processing pipelines handling 500K+ documents per month and built multi-agent AI frameworks enabling autonomous task orchestration across enterprise APIs. Established SRE practices, IaC with Terraform, GPU-accelerated inference using TensorRT, and scalable microservices for production readiness. Developed prompt orchestration, evaluation, and monitoring to ensure reliability and user trust.

Senior Data Engineer / AI Engineer at Abbott

October 1, 2018 - May 1, 2023

Designed and implemented scalable data and AI platforms on AWS (S3, EMR/SageMaker) with distributed Spark PySpark pipelines for batch and real-time analytics. Built end-to-end ETL/ELT pipelines, centralized data lake on S3, feature engineering, NLP pipelines with transformer models, embedding-based semantic search, and model serving endpoints with automated retraining. Implemented data quality checks, monitoring, and CI/CD pipelines to support reliable analytics and production AI workloads.

Machine Learning Engineer at Richemont

July 1, 2015 - September 1, 2018

Built fraud detection models and ML pipelines (Spark MLlib) for large-scale financial data. Developed NLP preprocessing, vectorization, embedding-based similarity search, and distributed training in Azure-based environments. Implemented document and metadata extraction, semantic ranking, and enterprise search components to support fraud prevention and customer insights.

Data Analyst (Python Developer) at Liberty Mutual

February 1, 2014 - June 1, 2015

Developed data analytics solutions with Python and SQL to improve forecasting accuracy, delivered automated reporting, dashboards (Tableau/Power BI), and time-series forecasting (ARIMA). Built data pipelines, validation checks, and industry/regulatory analytics to support risk management and performance insights.