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I am an experienced GenAI Data Scientist with over 5 years of success delivering advanced AI solutions and machine learning models across various industries. My specialization lies in building scalable LLM applications, AI agents, and RAG systems while implementing cutting-edge generative AI technologies to drive business transformation and automation. Throughout my career, I have developed enterprise-grade AI platforms and multi-agent systems, optimized customer support with Retrieval-Augmented Generation, and led cross-functional teams to deploy intelligent automation solutions. I continuously strive to innovate and leverage AI to improve operational efficiency and provide actionable business insights.…I am an experienced GenAI Data Scientist with over 5 years of success delivering advanced AI solutions and machine learning models across various industries. My specialization lies in building scalable LLM applications, AI agents, and RAG systems while implementing cutting-edge generative AI technologies to drive business transformation and automation. Throughout my career, I have developed enterprise-grade AI platforms and multi-agent systems, optimized customer support with Retrieval-Augmented Generation, and led cross-functional teams to deploy intelligent automation solutions. I continuously strive to innovate and leverage AI to improve operational efficiency and provide actionable business insights.

Saketh Nannapaneni

Data Scientist, AI Engineer, AI Prompt Engineer, +2

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I am an experienced GenAI Data Scientist with over 5 years of success delivering advanced AI solutions and machine learning models across various industries. My specialization lies in building scalable LLM applications, AI agents, and RAG systems while implementing cutting-edge generative AI technologies to drive business transformation and automation. Throughout my career, I have developed enterprise-grade AI platforms and multi-agent systems, optimized customer support with Retrieval-Augmented Generation, and led cross-functional teams to deploy intelligent automation solutions. I continuously strive to innovate and leverage AI to improve operational efficiency and provide actionable business insights.…I am an experienced GenAI Data Scientist with over 5 years of success delivering advanced AI solutions and machine learning models across various industries. My specialization lies in building scalable LLM applications, AI agents, and RAG systems while implementing cutting-edge generative AI technologies to drive business transformation and automation. Throughout my career, I have developed enterprise-grade AI platforms and multi-agent systems, optimized customer support with Retrieval-Augmented Generation, and led cross-functional teams to deploy intelligent automation solutions. I continuously strive to innovate and leverage AI to improve operational efficiency and provide actionable business insights.

Available to hire

I am an experienced GenAI Data Scientist with over 5 years of success delivering advanced AI solutions and machine learning models across various industries. My specialization lies in building scalable LLM applications, AI agents, and RAG systems while implementing cutting-edge generative AI technologies to drive business transformation and automation.

Throughout my career, I have developed enterprise-grade AI platforms and multi-agent systems, optimized customer support with Retrieval-Augmented Generation, and led cross-functional teams to deploy intelligent automation solutions. I continuously strive to innovate and leverage AI to improve operational efficiency and provide actionable business insights.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Data Scientist at Northwestern Mutual

September 1, 2023 - Present

Built an Enterprise GenAI Platform using Azure OpenAI Service and LangChain to process over 500GB of daily customer data, improving response accuracy by 85% and reducing processing time by 60%. Developed a Multi-Agent AI System automating financial advisory workflows, enabling 40% faster client onboarding and a 25% improvement in investment recommendations. Implemented RAG-powered customer support using Pinecone and GPT-4 API to process over 10TB of financial documents, achieving 92% accuracy and reducing support costs by 35%. Deployed 15+ GenAI models as RESTful APIs for real-time LLM predictions in customer-facing applications. Advanced prompt engineering and implemented automated model pipelines with MLflow and Azure DevOps, ensuring responsible AI deployment with safety guardrails. Created conversational AI solutions using Microsoft Bot Framework for customer service automation.

Data Scientist at Larsen & Toubro

July 1, 2023 - August 5, 2025

Developed an AI Agent Framework using LangChain and custom tools for supply chain optimization processing 2 petabytes of manufacturing data with 95% accuracy. Implemented a real-time GenAI pipeline integrating Apache Kafka with GPT-3 API processing over 1 million manufacturing events per second. Built document intelligence and multi-modal AI solutions combining NLP and computer vision for automated technical documentation and defect detection. Created a conversational analytics platform enabling stakeholders to query manufacturing data using natural language. Managed a cross-functional AI team adopting agile methodologies, deployed production LLM fine-tuning pipeline with LoRA/QLoRA techniques achieving 91% domain accuracy. Automated RFP responses and technical proposal generation, reducing proposal creation time by 65%.

Data Scientist at Tata AIA Life Insurance Company

June 1, 2022 - August 5, 2025

Implemented an enterprise RAG system using Weaviate and BERT embeddings to analyze over 1 million insurance policy documents with 90% accuracy. Developed LLM-powered fraud detection models reducing false positives by 35% through advanced prompt engineering and multi-agent validation. Built intelligent document processing pipelines automating policy documentation, claims assessment, and regulatory filings achieving 85% F1 score. Created customer sentiment analysis systems using GPT-3 API and vector embeddings. Automated compliance monitoring for AML, GDPR, and SOX regulations with 95% accuracy. Optimized marketing automation with GenAI-powered segmentation and content generation, reducing marketing spend by 10%. Developed multi-agent risk assessment systems achieving 93% accuracy and built production NLP pipelines for real-time customer interaction analysis with 92% satisfaction scores.

Data Analyst at Trent Limited

May 1, 2021 - August 5, 2025

Developed conversational commerce AI using early GPT models for automated customer service and product recommendations, enhancing productivity by 30%. Implemented text analytics platforms for product review and customer feedback analysis using BERT and transformer models, improving recommendation accuracy by 40%. Created automated content generation systems for e-commerce product descriptions and marketing copy using GPT-2 and fine-tuning techniques. Built intelligent search systems using vector embeddings and semantic search to improve product discovery relevance by 50%. Developed customer journey AI models using sequential models and reinforcement learning to optimize marketing campaigns. Automated web scraping and data extraction with AI-powered parsers for competitive analysis and market research.