AI Engineer - LLMs, RAG, MLOps, Cloud-Native Systems

PRERNA KOSTA

CA, United Stated *************@*****.*** +1-773-***-**** Linkedin

PROFESSIONAL SUMMARY

• AI Engineer with 9+ years of experience across Generative AI, Large Language Models (LLMs), cloud-native systems, and enterprise automation.

• Currently designing and deploying production-grade AI solutions for enterprise applications at Adobe (USA).

• Specialized in building Retrieval-Augmented Generation (RAG) pipelines using vector databases to improve contextual accuracy and reduce hallucinations.

• Experienced in developing scalable AI microservices using Python, FastAPI, AWS, Docker, and Kubernetes.

• Strong expertise in integrating OpenAI and Azure OpenAI APIs with secure authentication and enterprise-grade data governance.

• Proficient in implementing CI/CD pipelines, MLOps workflows, model versioning, and production deployment automation.

• Proven track record of transforming legacy RPA and enterprise systems into intelligent, cloud-based AI architectures.

• Experienced in cross-functional collaboration, technical leadership, and delivering measurable business impact across banking, consulting, and global enterprise environments. TECHNICAL SKILLS

Generative AI / LLMs: OpenAI API, Azure OpenAI, GPT-4/4o, Prompt Engineering, Function Calling, Structured Outputs RAG & AI Architecture: Retrieval-Augmented Generation (RAG), Embeddings, Vector Search, Context Optimization, AI Agents

Frameworks: FastAPI, Flask, LangChain, LlamaIndex

Language: Python, Pytorch

Vector Databases: Pinecone, Weaviate, pgvector

Cloud Platforms: AWS (ECS, EKS, S3, Lambda, EC2, IAM), Azure DevOps / CI-CD: GitHub Actions, CI/CD Pipelines, Automated Testing, Git Version Control Containerization & Orchestration: Docker, Kubernetes MLOps: MLflow, Model Versioning, Deployment Automation, Model Monitoring Data Engineering: ETL Pipelines, Data Validation, Workflow Automation, API Integrations Databases: PostgreSQL, MongoDB, Redis

Monitoring & Observability: Logging Systems, Performance Monitoring, Latency Optimization, Drift Detection AI Concepts: Transformers, NLP, Fine-tuning, Inference Optimization, Scalable AI Systems Automation Background: RPA (Blue Prism, Automation Anywhere) Architecture: Microservices, REST APIs, Event-Driven Systems, Cloud-Native Design PROFESSIONAL EXPERIENCE

AI Engineer Adobe, USA Jun 2025 – Present

Adobe is a global leader in digital media, creative software, and enterprise experience solutions, serving millions of customers worldwide across creative professionals, enterprises, and Fortune 500 organizations. The company is best known for its industry-leading products in design, document management, and digital experience platforms, including AI-powered solutions for content creation, personalization, and workflow automation. Responsibilities:

• Designed and deployed enterprise Generative AI solutions leveraging Large Language Models (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 including product managers, data engineers, and architects to integrate AI into production applications.

Senior Software Consultant BakerTilly, India Feb 2022 – June 2023 BakerTilly is a global advisory, tax, and assurance firm with 40,000+ professionals across 140+ territories, providing services to mid-market companies and generating $5+ billion in annual revenue. Responsibilities:

• Designed and deployed a scalable RAG system using OpenAI embeddings, Pinecone vector search, and GPT-4, achieving 92% retrieval accuracy with sub-2-second response times for 1,000+ daily real-time queries.

• Built FastAPI backend and Streamlit frontend, containerized with Docker and automated CI/CD via GitHub Actions, reducing deployment time by 90% (2 hours to 12 minutes).

• Developed end-to-end RPA workflows using Automation Anywhere / Power Automate to automate finance, tax, and vendor processing operations.

• Automated vendor invoice validation, data extraction, reconciliation, structured/unstructured data handling (OCR), reducing manual effort by 60% and improving accuracy, while integrating APIs, databases, and AI/LLM systems.

• Implemented exception handling, logging, orchestrator deployment, scheduling, role-based access control, monitoring, and performance optimization to ensure 99%+ bot reliability.

• Collaborated with cross-functional teams to identify high-ROI automation opportunities, built reusable frameworks, conducted UAT, provided production support, and ensured compliance with enterprise security, audit, and governance standards.

Software Consultant Axis Bank Pvt. Ltd, India June 2017 – Feb 2022 Axis Bank is India’s third-largest private sector bank with 125,000+ employees, 5,000+ branches, serving 70+ million customers, and processing $120B+ annually.

Responsibilities:

• Led a team of 10+ engineers and analysts under the VP of Technology Operations, 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 (500,000+ daily transactions), reducing turnaround time by 30%+ and cutting loan processing time by 35% (48 hours to 31 hours), saving $250,000 annually.

• Integrated RPA bots with core banking systems, APIs, and legacy applications; implemented unattended and attended bots with centralized deployment, scheduling, monitoring, and performance tracking.

• Collaborated with IT security to implement credential vaults, secure access controls, compliance measures, and optimized automation scripts to improve efficiency, scalability, and reduce failures.

• Led process discovery, production support, root cause analysis, continuous improvement initiatives, and modernized 3 legacy systems by migrating them to AWS cloud, reducing infrastructure costs by 25%. Software Engineer L&T Infotech (now LTIMindtree), India Jan 2015 – June 2017 L&T Infotech is a global technology consulting company with 80,000+ employees serving Fortune 500 clients. Responsibilities:

• One of 5 automation engineers reporting to the Senior Manager of RPA Solutions, designing and deploying robotic process automation systems 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:

DePaul University — Master’s in Artificial Intelligence Chicago, Illinois, USA Jan 2024 – Nov 2025 GPA: 4.0 A.D. Patel Institute of Technology — Master’s in Signal Processing and Communication Gujarat, India 2013 – 2015

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