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I’m Balavardhan Sripuram, a Senior AI Engineer with 10+ years of experience designing and deploying GenAI, LLM, and RAG-based solutions. I’ve built multi-agent systems and scalable AI platforms across finance, aviation, manufacturing, and education, focusing on performance, cost optimization, and governance. I thrive on turning complex data into actionable intelligence—architecting cloud-native pipelines, vector search, MLOps workflows, and enterprise-grade governance. I’m passionate about responsible AI, collaboration, and delivering measurable ROI through AI transformation initiatives.…I’m Balavardhan Sripuram, a Senior AI Engineer with 10+ years of experience designing and deploying GenAI, LLM, and RAG-based solutions. I’ve built multi-agent systems and scalable AI platforms across finance, aviation, manufacturing, and education, focusing on performance, cost optimization, and governance. I thrive on turning complex data into actionable intelligence—architecting cloud-native pipelines, vector search, MLOps workflows, and enterprise-grade governance. I’m passionate about responsible AI, collaboration, and delivering measurable ROI through AI transformation initiatives.

Balavardhan Sripuram

AI Engineer, Data Scientist, Cloud Developer, +4

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I’m Balavardhan Sripuram, a Senior AI Engineer with 10+ years of experience designing and deploying GenAI, LLM, and RAG-based solutions. I’ve built multi-agent systems and scalable AI platforms across finance, aviation, manufacturing, and education, focusing on performance, cost optimization, and governance. I thrive on turning complex data into actionable intelligence—architecting cloud-native pipelines, vector search, MLOps workflows, and enterprise-grade governance. I’m passionate about responsible AI, collaboration, and delivering measurable ROI through AI transformation initiatives.…I’m Balavardhan Sripuram, a Senior AI Engineer with 10+ years of experience designing and deploying GenAI, LLM, and RAG-based solutions. I’ve built multi-agent systems and scalable AI platforms across finance, aviation, manufacturing, and education, focusing on performance, cost optimization, and governance. I thrive on turning complex data into actionable intelligence—architecting cloud-native pipelines, vector search, MLOps workflows, and enterprise-grade governance. I’m passionate about responsible AI, collaboration, and delivering measurable ROI through AI transformation initiatives.

Available to hire

I’m Balavardhan Sripuram, a Senior AI Engineer with 10+ years of experience designing and deploying GenAI, LLM, and RAG-based solutions. I’ve built multi-agent systems and scalable AI platforms across finance, aviation, manufacturing, and education, focusing on performance, cost optimization, and governance.

I thrive on turning complex data into actionable intelligence—architecting cloud-native pipelines, vector search, MLOps workflows, and enterprise-grade governance. I’m passionate about responsible AI, collaboration, and delivering measurable ROI through AI transformation initiatives.

Skills

Experience Level

Expert

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Work Experience

Senior AI Engineer at Kaplan

October 1, 2023 - Present

Designed and implemented enterprise-grade Generative AI systems using Retrieval-Augmented Generation (RAG) for knowledge retrieval and conversational interfaces. Built multi-agent AI workflows with LangChain, LangGraph, AutoGen, and Agentic AI frameworks to orchestrate autonomous tasks. Developed AWS Bedrock-based Agentic AI platforms, including a multi-agent portfolio optimization MVP for financial intelligence use cases. Created and deployed LLM-based applications leveraging OpenAI GPT-5.x, Anthropic Claude, and Google Gemini 2.5 Pro. Architected vector databases (FAISS, Pinecone-like, Weaviate-style) for semantic search and enterprise knowledge retrieval. Designed scalable RAG pipelines with embedding strategies, prompt engineering, chunking optimization, and context retrieval tuning. Implemented MLOps pipelines (MLflow, GitHub Actions, Azure DevOps, Kubernetes) for CI/CD of GenAI models. Led cloud architecture design, cost optimization, governance, and ROI analysis for AI transform

Sr. Cloud Engineer at American Airlines

July 1, 2018 - May 1, 2023

Designed and implemented scalable AWS cloud architectures for enterprise-level aviation and analytics systems. Built big data processing pipelines using PySpark, SQL, and distributed computing frameworks. Developed MLOps pipelines with MLflow and CI/CD automation using Azure DevOps and GitHub Actions. Delivered predictive analytics and machine learning models for forecasting, optimization, and operational efficiency. Built early-stage RAG-based GenAI prototypes for enterprise knowledge search and document intelligence systems. Implemented real-time and batch data ingestion pipelines using AWS services (S3, EC2, Lambda, EKS). Designed and deployed containerized ML systems using Docker and Kubernetes for scalable model serving. Optimized Databricks workloads and cloud infrastructure costs through cluster tuning and performance optimization. Supported migration from legacy systems to cloud-native microservices architecture. Built financial and ARR calculation models to support executive d

Sr. Systems Engineer at Delasoft Inc.

November 1, 2013 - July 1, 2018

Developed end-to-end data engineering pipelines using Python, SQL, and PySpark for enterprise-scale datasets. Built machine learning models for demand forecasting, churn prediction, and customer segmentation. Implemented classification and regression models using Random Forest, Gradient Boosting, and K-Means clustering. Designed and deployed NLP-based chatbot systems for customer support automation and knowledge retrieval. Created ETL pipelines for structured and unstructured data processing in big data environments. Developed GIS-based optimization systems for logistics, routing, and supply chain efficiency improvements. Built data visualization dashboards using Dash, Flask, and BI-style reporting systems. Supported CI/CD automation using Bash and PowerShell scripting for deployment workflows. Contributed to big data architecture design for scalable analytics systems across enterprise domains.

Windows /VMware Engineer at Novisync Solutions Inc

February 1, 2012 - November 1, 2013

Managed Windows Server infrastructure and VMware virtualization environments for enterprise systems. Automated system administration tasks using PowerShell scripting and infrastructure automation workflows. Supported Active Directory, networking, and enterprise IT infrastructure operations. Assisted in system monitoring, performance tuning, and server optimization activities. Participated in early cloud migration readiness assessments and infrastructure planning.

Programmer Analyst /Wintel Administrator at HCL Global Systems Inc

June 1, 2010 - January 1, 2012

Supported Windows server administration and Wintel infrastructure operations in enterprise environments. Developed automation scripts using Python and batch scripting for operational efficiency. Performed SQL-based data extraction, reporting, and database support tasks. Assisted in system troubleshooting, monitoring, and performance optimization. Gained foundational exposure to enterprise IT systems, distributed environments, and infrastructure management.

Senior AI Engineer (GenAI /LLM /Agentic AI) at Kaplan (Dallas-Fort Worth Metroplex)

October 1, 2023 - Present

Designed and implemented enterprise-grade Generative AI systems using Retrieval-Augmented Generation (RAG) for intelligent knowledge retrieval and conversational AI. Built multi-agent AI workflows using LangChain, LangGraph, AutoGen, and Agentic AI frameworks, enabling autonomous task execution. Led AWS Bedrock-based Agentic AI platforms, including a multi-agent portfolio optimization MVP for financial intelligence use cases. Architected vector databases and scalable pipelines, and delivered Azure OpenAI-powered chatbots for internal automation. Implemented MLOps pipelines via MLflow, GitHub Actions, Azure DevOps, Kubernetes, and Databricks-based data pipelines; optimized cloud costs and governance.

Sr. Cloud Engineer (AI /Cloud /Data Platforms) at American Airlines (Tulsa, OK)

July 1, 2018 - May 1, 2023

Designed scalable AWS cloud architectures for enterprise aviation analytics; built big data pipelines with PySpark/SQL; delivered predictive analytics and ML models for forecasting and optimization; developed early-stage RAG prototypes for enterprise knowledge search and document intelligence; implemented real-time and batch data ingestion (S3, Lambda, EKS); containerized ML systems; improved Databricks workloads; supported migration to cloud-native microservices; built ARR/financial models; experimented with Agentic AI using AWS Bedrock.

Sr. Systems Engineer (AI /Data Engineering /ML) at Delasoft Inc. (New Castle, DE)

November 1, 2013 - July 1, 2018

Developed end-to-end data engineering pipelines; built ML models for demand forecasting, churn prediction, and customer segmentation; implemented NLP-based chatbot systems for customer support automation and knowledge retrieval; created ETL pipelines for structured and unstructured data processing; designed GIS-based optimization systems for logistics and supply chain efficiency; built dashboards and BI-like reporting; contributed to big data architecture and CI/CD automation across ML pipelines.