I am an AI Engineer with 9+ years of experience across Generative AI, LLMs, cloud-native systems, and enterprise automation. I currently design and deploy production-grade AI solutions for enterprise applications, focusing on Retrieval-Augmented Generation (RAG) pipelines, secure OpenAI integrations, and scalable microservices on AWS. I thrive at turning complex data into practical AI-powered capabilities that reduce latency, improve accuracy, and enable automation across banking, consulting, and media organizations. In my roles, I lead cross-functional teams, implement CI/CD and MLOps workflows, and drive data governance and security for enterprise AI deployments. I enjoy transforming legacy RPA and enterprise systems into cloud-native AI architectures that deliver measurable business impact.

PRERNA KOSTA

I am an AI Engineer with 9+ years of experience across Generative AI, LLMs, cloud-native systems, and enterprise automation. I currently design and deploy production-grade AI solutions for enterprise applications, focusing on Retrieval-Augmented Generation (RAG) pipelines, secure OpenAI integrations, and scalable microservices on AWS. I thrive at turning complex data into practical AI-powered capabilities that reduce latency, improve accuracy, and enable automation across banking, consulting, and media organizations. In my roles, I lead cross-functional teams, implement CI/CD and MLOps workflows, and drive data governance and security for enterprise AI deployments. I enjoy transforming legacy RPA and enterprise systems into cloud-native AI architectures that deliver measurable business impact.

Available to hire

I am an AI Engineer with 9+ years of experience across Generative AI, LLMs, cloud-native systems, and enterprise automation. I currently design and deploy production-grade AI solutions for enterprise applications, focusing on Retrieval-Augmented Generation (RAG) pipelines, secure OpenAI integrations, and scalable microservices on AWS. I thrive at turning complex data into practical AI-powered capabilities that reduce latency, improve accuracy, and enable automation across banking, consulting, and media organizations.

In my roles, I lead cross-functional teams, implement CI/CD and MLOps workflows, and drive data governance and security for enterprise AI deployments. I enjoy transforming legacy RPA and enterprise systems into cloud-native AI architectures that deliver measurable business impact.

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Experience Level

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Work Experience

AI Engineer at Adobe
June 1, 2025 - Present
Designed and deployed enterprise Generative AI solutions leveraging LLMs for intelligent content processing and workflow automation. Built Retrieval-Augmented Generation (RAG) pipelines using vector databases to enhance contextual accuracy and reduce hallucinations. Developed scalable AI microservices using Python and FastAPI, deployed on AWS with Docker and Kubernetes. Integrated OpenAI and Azure OpenAI APIs with secure authentication and enterprise-grade data governance. Implemented prompt optimization, structured outputs, and function-calling workflows to improve model reliability. Designed CI/CD pipelines for AI model deployment, enabling automated testing, versioning, and production releases. Built monitoring systems for AI performance tracking, latency optimization, and model drift detection. Collaborated with cross-functional teams to integrate AI into production applications.
Senior Software Consultant at BakerTilly
February 1, 2022 - June 1, 2023
Designed and deployed a scalable Retrieval-Augmented Generation (RAG) system using OpenAI embeddings, Pinecone vector search, and GPT-4, achieving high retrieval accuracy with sub-second response times for real-time queries. Built FastAPI backend and Streamlit frontend, containerized with Docker and automated CI/CD via GitHub Actions, reducing deployment time significantly. Developed end-to-end RPA workflows to automate finance, tax, and vendor processing operations. Automated vendor invoice validation, data extraction, reconciliation, and data handling (OCR) while integrating APIs, databases, and AI/LLM systems. Implemented exception handling, logging, orchestrator deployment, scheduling, RBAC, monitoring, and performance optimization to ensure bot reliability. Collaborated with cross-functional teams to identify high-ROI automation opportunities and ensured security and governance compliance.
Software Consultant at Axis Bank Pvt. Ltd
June 1, 2017 - February 1, 2022
Led a team of 10+ engineers and analysts managing AI/automation projects for enterprise banking systems processing 500,000+ daily transactions. Developed enterprise-grade RPA solutions for loan processing, KYC verification, account servicing, backend reconciliation, fraud support, and data validation workflows. Automated high-volume operations, reducing turnaround time by 30%+ and cutting loan processing time by 35% (48 hours to 31 hours), saving significant annual costs. Integrated RPA bots with core banking systems, APIs, and legacy applications; implemented unattended and attended bots with centralized deployment, scheduling, monitoring, and access controls. Collaborated with IT security to implement credential vaults and governance measures, improving efficiency and security. Led process discovery, production support, root cause analysis, and modernization initiatives to migrate legacy systems to AWS cloud, reducing infrastructure costs.
Software Engineer at L&T Infotech (LTIMindtree)
January 1, 2015 - June 1, 2017
One of 5 automation engineers designing and deploying robotic process automation (RPA) solutions for global enterprise clients. Developed 15+ RPA bots using Blue Prism and Automation Anywhere, reducing manual effort by 80% across invoice processing and data workflows. Automated end-to-end processes for 3 Fortune 500 clients, processing 100,000+ transactions monthly and saving $400,000+ annually. Reduced process execution time by 70%, improving SLA compliance from 75% to 95%. Collaborated with stakeholders across 8+ departments to deliver solutions within 6–8 week cycles.

Education

Master's in Artificial Intelligence at DePaul University
January 1, 2024 - November 1, 2025
Master's in Signal Processing and Communication at A.D. Patel Institute of Technology
January 1, 2013 - January 1, 2015

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services, Media & Entertainment, Financial Services, Other