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Hannah Abraham

@hannahabraham

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I’m an AI Platform Engineer delivering scalable, observable GenAI systems—from RAG pipelines to LLM deployment.

India

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What I'm looking for

I’m looking to build and scale production GenAI and RAG systems with strong MLOps and observability—optimizing inference latency, reliability, and evaluation—so teams get measurable, trustworthy AI outcomes across cloud environments.

I’m a platform-focused AI/IT professional with 15 years of experience in Java, Python, Spring Boot, Kafka, and distributed systems, now specialising in AI Platform Engineering, MLOps, and GenAI deployment. I build and scale LLM-based systems in production across cloud environments, with a strong bias toward measurable reliability.

In my role at Oracle India Pvt Ltd, I architected an AI assistant platform PoC using Module Context Protocol (MCP) to integrate internal APIs with Cohere LLM—reducing manual analysis effort by 20% and accelerating knowledge discovery. I also built an internal LangChain-based AI assistant chatbot as a reusable platform service to improve cross-team decision support.

I design scalable data pipelines and observability for real-world AI services, including data quality/lineage tracking and real-time pipeline health monitoring. On the backend side, I optimized REST APIs and microservices (Spring Boot, Docker, Kafka) to support 10,000+ concurrent requests with sub-200ms latency, and I integrated enterprise services across cloud platforms to improve throughput by ~30%.

Hands-on, I’ve deployed a multi-modal airline support agent using function-calling as a scalable REST API with a UI (Gradio), and I’ve implemented RAG knowledge assistants using LiteLLM with vector store retrieval latency optimizations. I’m currently pursuing an M.Sc. in AI & ML, researching evaluation of RAG pipelines for real-world question answering—retrieval quality, answer faithfulness, and latency trade-offs—so the systems I build stand up in production.

Experience

Work history, roles, and key accomplishments

Principal Application Engineer

Oracle India Pvt Ltd

Aug 2017 - Apr 2026 (8 years 8 months)

Architected an AI assistant platform using Module Context Protocol (MCP) to integrate internal APIs with Cohere LLM, reducing manual analysis effort by 20% and accelerating knowledge discovery. Optimized Spring Boot REST APIs and microservices (Docker, Kafka) to support 10,000+ concurrent requests with sub-200ms latency, improving throughput by ~30% through enterprise integrations.

Model Context Protocol (MCP)Cohere Apache Kafka Spring Boot REST APIs Docker

Enterprise Application Engineer

GE India Exports Pvt Ltd

Nov 2015 - Jun 2017 (1 year 7 months)

Provided HRMS production support and managed monthly deployments to improve application reliability. Built Oracle Service Bus (OSB) services and XSLT mappings for integrations (including ServiceNow) and created BAM 12c real-time reporting for employee lifecycle applications.

Production Support Deployment Management Oracle Services Bus XSLT ServiceNow Real Time Reporting (BAM 12c)Enterprise Application Integration Troubleshooting

Associate - Projects

Cognizant Technology Solutions

Apr 2011 - Nov 2015 (4 years 7 months)

Led EDI interface development (Load Tenders, Shipment Status, Invoicing), improving processing efficiency by ~30%. Served as a Level-2 SME, reducing production downtime by ~25%, and mentored a 4-member offshore team.

Invoicing Level 2 Support Production Support Root Cause Analysis Mentoring

Technical Support Associate

IBM India Pvt Ltd

Aug 2010 - Feb 2011 (6 months)

Delivered end-to-end technical support by resolving complex customer issues and performing root cause analysis. Provided timely assistance via phone, email, and chat while collaborating with cross-functional teams.

Customer Technical Support Root Cause Analysis Technical Troubleshooting Cross Functional Collaboration

Education

Degrees, certifications, and relevant coursework

Liverpool John Moores University

M.Sc. in Artificial Intelligence & Machine Learning, Artificial Intelligence & Machine Learning

2025 -

Activities and societies: Research on evaluation of RAG pipelines for review-based/e-commerce question answering.

M.Sc. in Artificial Intelligence & Machine Learning (ongoing) with research on evaluating RAG pipelines for question answering in e-commerce, covering retrieval quality, answer faithfulness, and latency trade-offs.